gt rig shutdown: Gracefully stop all rig agents

Add 'gt rig shutdown <rig>' command to gracefully stop all agents in a rig.

Should:
- Stop all polecat sessions
- Stop refinery
- Stop witness
- Optionally wait for graceful shutdown with timeout


gt mq submit: create MR from current branch

Implement 'gt mq submit' command that creates a merge-request bead.

Auto-detection logic:
1. Branch: current git branch
2. Issue: parse from branch name (polecat/Nux/gt-xyz → gt-xyz)
3. Target: main (or integration branch if --epic specified)
4. Worker: parse from branch name
5. Rig: current rig

Options:
- --branch BRANCH: explicit source branch
- --issue ISSUE: explicit source issue
- --epic EPIC: target integration/EPIC instead of main
- --priority P: override priority (default: inherit from source issue)

Creates merge-request bead and prints MR ID.

Reference: docs/merge-queue-design.md#creating-merge-requests


Witness daemon: heartbeat loop, spawn ephemeral agent

Background daemon for agent lifecycle and monitoring.

## Core Responsibilities

1. **Heartbeat monitoring**: Check agent health periodically
2. **Session lifecycle**: Restart agents after handoff (Witness Protection)
3. **Polecat monitoring**: Track worker progress, nudging
4. **Escalation**: Report failures to Mayor

## Session Lifecycle (Witness Protection)

The daemon enables autonomous long-running operation by cycling agent sessions:

```go
type SessionLifecycle struct {
    AgentType string  // "witness", "refinery"
    StatePath string  // path to state.json
}

func (d *Daemon) monitorSessionLifecycle(agent SessionLifecycle) {
    // 1. Detect session exit
    // 2. Check state.json for requesting_cycle: true
    // 3. If cycle requested: start new session, clear flag
    // 4. If unexpected exit: escalate to Mayor
}
```

See architecture.md Key Decision #12: Agent Session Lifecycle.

## Interface

```go
type Daemon struct {
    rig      *Rig
    polecats *PolecatManager
    sessions *SessionManager
    config   DaemonConfig
}

type DaemonConfig struct {
    HeartbeatInterval time.Duration  // default: 30s
    NudgeThreshold    int            // nudges before escalation
    MaxWorkers        int            // from rig config
}

func NewDaemon(rig *Rig) *Daemon
func (d *Daemon) Start() error
func (d *Daemon) Stop() error

// Lifecycle
func (d *Daemon) CycleSession(agentType string) error
func (d *Daemon) SpawnWorker(issueID string) error
func (d *Daemon) ShutdownWorker(polecat string) error
```

## Heartbeat Loop

Every HeartbeatInterval:
1. Check Witness session (restart if cycle requested)
2. Check Refinery session (restart if cycle requested)
3. For each active polecat: assess progress, nudge if stuck
4. Query `bd ready` for new work, spawn up to max_workers


Merge: beads-2nh

branch: fix/spawn-beads-path
target: main
source_issue: beads-2nh
rig: gastown


Merge: gt-y5o

branch: polecat/Doof
target: main
source_issue: gt-y5o
rig: gastown


Go scaffolding: cmd/gt, go.mod, Cobra setup

Set up Go project structure with CLI framework.

**Stack:**
- Cobra for command/flag handling
- Lipgloss for styled terminal output

**Deliverables:**
- cmd/gt/main.go with Cobra root command
- Basic subcommands: version, help
- Lipgloss styles for status output (success, warning, error)
- go.mod with dependencies


Merge: gt-3x1.5

branch: polecat/Immortan
target: main
source_issue: gt-3x1.5
rig: gastown


Merge: gt-ih0s

branch: polecat/capable
target: main
source_issue: gt-ih0s
rig: gastown


tmux notifications: display-message too subtle, use send-keys instead

## Problem

`tmux display-message` notifications are not visible enough - they appear briefly in the status bar and are easy to miss.

## Current Behavior

router.go uses:
```go
r.tmux.DisplayMessageDefault(sessionID, notification)
```

## What Works

Sending echo commands directly to the terminal:
```bash
tmux send-keys -t <session> "echo '📬 NEW MAIL from mayor'" Enter
```

## Proposed Fix

Change notification method to send visible output to the terminal, perhaps with a box/banner:
```
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📬 NEW MAIL from mayor
Subject: <subject>
Run: bd mail inbox
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

## Considerations

- This interrupts the terminal output (acceptable for important mail)
- Could check if Claude is mid-response and queue notification
- Or use tmux popup if available

Additional issues:
1. Enter key not sent properly when chained with send-keys
2. Need to debounce and send Enter separately
3. Correct pattern: send text, sleep briefly, then send Enter


Polecats should not push branches to remote

## Current Behavior

Polecats push their branches to origin (e.g., `polecat/furiosa`), which pollutes the remote with many short-lived branches.

## Desired Behavior

Polecats should only commit locally. The Refinery handles all remote pushes:
1. Polecat works on local `polecat/<name>` branch
2. Polecat signals done (state → idle)
3. Refinery pulls from local polecat branch
4. Refinery runs tests, merges to main
5. Refinery pushes main to remote
6. If PR review needed, Refinery creates the PR

## Benefits

- Clean remote (no branch pollution)
- Clear responsibility (Refinery is the quality gate)
- Simpler cleanup (local branches deleted with worktree)
- Less noise in GitHub UI

## Trade-offs

- If polecat crashes before Refinery merges, code is lost locally
- But beads issue remains open, another polecat can redo the work
- This is acceptable for ephemeral workers

## Implementation

In polecat CLAUDE.md or landing protocol:
- Remove `git push origin HEAD` from workflow
- Replace with just `git commit` + signal done
- Refinery handles the rest


Implement shared beads architecture for rig

Implement redirect-based shared beads to eliminate git sync overhead within a rig.

## Background
Each polecat currently has its own .beads/ directory synced via git. This burns tokens on sync operations.

## Solution
Use bd's redirect feature:
1. Create single shared .beads/ at rig root
2. Polecats get redirect files pointing to shared location
3. All agents connect to same daemon
4. SQLite WAL + daemon serialization handles concurrency

## Implementation
1. Create shared .beads/ at rig root (e.g., ~/gt/gastown/.beads/)
2. Update gt spawn to create redirect files:
   mkdir -p polecats/nux/.beads
   echo ../../.beads > polecats/nux/.beads/redirect
3. Test that all polecats connect to same daemon
4. Remove git sync from intra-rig workflow
5. Keep JSONL export for backup/cross-rig only

## Reference
beads/polecats/rictus/internal/beads/beads.go:45 - followRedirect()


Refactor: Eliminate state.json, use beads assignee field for polecat state

## Problem

state.json in each polecat worktree duplicates data that should be in beads:
- `issue` field duplicates assignment (should be issue.assignee)
- `state` field duplicates status (derivable from issue.status)
- `name/rig/branch/clone_path` are all derivable from filesystem/git

This violates 'Beads as the data plane' (HOP Decision 001).

## Current State

```json
{
  "name": "Angharad",        // Derivable: basename(cwd)
  "rig": "gastown",          // Derivable: parent dir name
  "state": "working",        // Should be: issue.status
  "clone_path": "/path",     // Derivable: cwd
  "branch": "polecat/X",     // Derivable: git branch
  "issue": "gt-xyz",         // Should be: issue.assignee
  "timestamps": "..."        // Should be in beads history
}
```

## Target State

**Polecat identity**: Derived from worktree path
**Polecat assignment**: `issue.assignee = 'gastown/Angharad'`
**Polecat state**: Derived from issue.status (in_progress = working, closed = done)
**Polecat existence**: Worktree directory exists

## Benefits

1. Single source of truth (no sync issues)
2. Queryable: `bd list --assignee=gastown/Angharad`
3. History tracking via beads
4. Cross-agent coordination via beads sync
5. Simpler code (no state file management)

## Implementation

1. Update `gt spawn` to set issue.assignee instead of writing state.json
2. Update polecat list/status commands to query beads
3. Update Witness to query beads for polecat state
4. Remove state.json read/write code
5. Keep state.json as optional bootstrap cache (perf optimization only)


Molecule converge: iterate until AI says done

Work isn't 'done' until AI is confident it's done. Fixes the 85% problem.

**From VC**: internal/iterative/converge.go - 3-7 iterations with AI convergence detection. ~600 lines.
Target: 20%+ more issues discovered. Observed: ~25% average improvement.

**Gas Town implementation**: Molecule converge config:
```yaml
converge:
  strategy: ai
  min_iterations: 3
  max_iterations: 7
  confidence: 0.85
```

Polecat iterates, AI checks convergence. Stop when AI is confident or max reached.

**Value**: Raw agents get to ~85% and stop. Iteration catches the remaining 15%.

**VC metrics**: Convergence rate >70%, mean 4-5 iterations for complex work.


bd ready --type: missing type filter for MQ integration

bd ready lacks --type flag that engineer.go expects.

## Code (internal/refinery/engineer.go)
readyMRs, err := e.beads.ReadyWithType("merge-request")

## Actual bd ready
No --type flag - only supports assignee, label, priority filters.

## Impact
Refinery can't find merge-requests in queue, so MQ doesn't process anything.

## Fix Options
1. Add --type flag to bd ready
2. Use bd list --type=merge-request --status=open instead
3. Both (ready filters for unblocked, list for all)

This is blocking the entire MQ pipeline.


Update prompts.md: Engineer role and templates

Update docs/prompts.md with Engineer role:

1. Role Prompts table: Change Refinery to Engineer
2. Add Engineer-specific prompts:
   - Session restart request template
   - Subtask filing template
   - Handoff mail template
3. Update refinery.md template name to engineer.md
4. Ensure consistency with architecture.md


Add role-specific subcommands that delegate to core commands (agent UX)

## Problem

Agents naturally guess command patterns like:
- `gt witness nudge <polecat>`
- `gt polecat nudge <name>`
- `gt crew restart <member>`

But these don't exist - the actual commands are:
- `gt nudge <session> <message>`
- `gt polecat reset <name>`

This creates friction in agent UX. Agents shouldn't have to memorize the 'correct' command structure.

## Proposal

Add subcommands to each role that delegate to core commands with argument reordering:

```
gt witness nudge furiosa "Start working"
  → gt nudge gt-gastown-furiosa "Start working"

gt polecat nudge gastown/furiosa "Check mail"
  → gt nudge gt-gastown-furiosa "Check mail"

gt crew nudge gastown/max "Wake up"
  → gt nudge gt-crew-gastown-max "Wake up"
```

## Benefits

1. **Discoverable**: Agents explore `gt witness --help` and find nudge
2. **Lenient**: Multiple valid ways to express the same intent
3. **Role-contextual**: Commands under the role namespace feel natural
4. **Extensible**: Pattern works for future subcommands (status, reset, etc.)

## Implementation

Each role command (witness, polecat, crew, refinery) gets thin wrapper subcommands:

```go
// In witness.go
witnessCmd.AddCommand(&cobra.Command{
    Use:   "nudge <polecat> <message>",
    Short: "Nudge a polecat (delegates to gt nudge)",
    RunE: func(cmd *cobra.Command, args []string) error {
        session := formatSession(rig, args[0])
        return runNudge(session, args[1])
    },
})
```

## Future Candidates

Other subcommands to add as role-specific aliases:
- `gt polecat status <name>` (already exists, good pattern)
- `gt witness check <polecat>` → trigger a manual check
- `gt refinery merge <mr-id>` → process specific MR
- `gt crew send <member> <message>` → mail to crew member


Molecule instantiation: create child beads from template

When instantiating a molecule on a work bead:

## Transaction Flow

1. Parse molecule's `## Step:` sections from description
2. Begin SQLite transaction
3. For each step, create child issue:
   - ID: `{parent-id}.{step-ref}` or generated
   - Title: step title (from header or first line)
   - Description: step prose instructions
   - Type: task
   - Priority: inherit from parent
4. Add `instantiated-from` edge from each step to molecule:
   ```sql
   INSERT INTO dependencies (issue_id, depends_on_id, type, metadata)
   VALUES (step_id, mol_id, 'instantiated-from', '{"step": "implement"}');
   ```
5. Wire inter-step dependencies from `Needs:` lines
6. Commit transaction (atomic - all or nothing)

## Parsing Conventions

```markdown
## Step: <ref>
<prose instructions>
Needs: <step>, <step>  # optional
Tier: haiku|sonnet|opus  # optional hint
```

## Parameterization

Steps can have `{{variable}}` placeholders:
```markdown
## Step: implement
Implement {{feature_name}} in {{target_file}}.
```

Context map provided at instantiation time.

## API

```go
func (s *Store) InstantiateMolecule(mol *Issue, parent *Issue, ctx map[string]string) ([]*Issue, error)
func ParseMoleculeSteps(description string) ([]MoleculeStep, error)
```

Implementation lives in `internal/beads/molecule.go`.


Doctor check: Worker health and stuck detection

Detect and report stuck workers via gt doctor.

## Checks

### WorkerHealthCheck
- List all active workers (polecats with state=working)
- Check last activity timestamp for each
- Flag as potentially stuck if no progress for configurable threshold (default: 30 min)
- Check if Witness is running for the rig
- Verify Witness last heartbeat time

### Stuck Detection Criteria
- Polecat state=working but session not running
- Polecat state=working but output unchanged for threshold
- Witness not responding to health checks
- Multiple polecats in same rig all stuck

## Output

```
[WARN] Workers in rig 'wyvern' may be stuck:
  - Toast: working for 45m, no recent output
  - Capable: working for 52m, session not found
  - Witness: last heartbeat 20m ago

  Suggestions:
  - gt witness status wyvern
  - gt capture wyvern/Toast 50
  - gt stop --rig wyvern (kill all)
```

## Auto-Fix

Cannot auto-fix stuck workers (risk of data loss), but can:
- Restart Witness daemon if crashed
- Send warning mail to Mayor


gt mq retry: retry a failed MR

Implement 'gt mq retry <id>' to retry a failed merge request.

Actions:
1. Verify MR exists and is in failed state (open with failure labels)
2. Remove failure labels (needs-rebase, needs-fix)
3. Reset to ready state
4. Optionally re-run immediately (--now flag)

Options:
- --now: immediately process (instead of waiting for Engineer loop)

Reference: docs/merge-queue-design.md#cli-commands


Split PGT/GGT harness or migrate to GGT-only

Current ~/ai harness is shared by PGT and GGT with confusing overlap. Options:
1. Keep separate (document the coexistence)
2. Migrate fully to GGT structure
3. Create separate harnesses

This affects the beads redirect, Mayor home location, and rig structure.


Resource Beads: Leases, locks, and quotas

Resource beads represent reserved resources. Types: vm, lock, slot, quota. Fields: holder, expires, renewable. Daemon monitors for expiry and manages contention.


Merge: gt-frs

branch: polecat/Slit
target: main
source_issue: gt-frs
rig: gastown


mol-outpost-assign: Intelligent work routing to outposts

The federation design shows outposts.yaml with a static policy section. Simple preference ordering is fine as config, but intelligent work routing should be a molecule.

Current static approach:
```yaml
policy:
  default_preference: [local, gce-burst, cloudrun-burst]
```

Cases requiring cognition:
- "This is a long-running research task, route to VM not CloudRun"
- "This touches sensitive code, keep local"
- "These 5 issues are related, batch them to same outpost"
- "CloudRun cost is high today, prefer local even if slower"

## Molecule: outpost-assign
Intelligent work-to-outpost routing.

## Step: classify-work
Analyze the issue/work item:
- Expected duration (quick fix vs multi-hour)
- Resource requirements
- Sensitivity/security tier
- Related work (same epic?)

## Step: check-capacity
Query outpost status:
- Current load on each
- Cost accrued today
- Health status

## Step: select-outpost
Choose optimal outpost based on:
- Work classification
- Capacity/cost
- Policy constraints
Needs: classify-work, check-capacity

## Step: emit-assignment
Record decision in beads for audit.
Needs: select-outpost

## Notes
- This molecule is invoked by Mayor/Witness when spawning
- Simple cases can short-circuit to static policy
- Full analysis only for ambiguous cases


Witness pre-kill verification protocol

Add pre-kill verification protocol to Witness CLAUDE.md template.

## Protocol for Witness Prompting

```markdown
## Pre-Kill Verification Protocol

Before killing any worker session, verify workspace is clean.

### Verification Steps

When a worker signals done:

1. **Capture worker state**:
```bash
town capture <polecat> "git status && git stash list && bd sync --status"
```

2. **Assess the output** (use your judgment):
- Is working tree clean?
- Is stash list empty?
- Is beads synced?

3. **Decision**:
- **CLEAN**: Proceed to kill session
- **DIRTY**: Send nudge with specific issues

### Nudge Templates

**Uncommitted Changes**:
```
town inject <polecat> "WITNESS CHECK: Uncommitted changes found. Please commit or discard: <files>. Signal done when clean."
```

**Beads Not Synced**:
```
town inject <polecat> "WITNESS CHECK: Beads not synced. Run 'bd sync' then commit. Signal done when complete."
```

### Kill Sequence

Only after verification passes:
```bash
town kill <polecat>
town sleep <polecat>
```

### Escalation

If worker fails verification 3+ times:
```bash
town mail send mayor/ -s "Escalation: <polecat> stuck" -m "Cannot complete cleanup after 3 attempts. Issues: <list>."
```
```

## Implementation

Add to WITNESS_CLAUDE.md template.


Fix golangci-lint errcheck warnings (~160 issues)

Running golangci-lint shows ~160 errcheck warnings for unchecked error returns.

Common patterns:
- t.SetEnvironment() return values
- os.WriteFile(), os.RemoveAll()
- MarkFlagRequired() on cobra commands
- Various manager methods

Run: golangci-lint run ./...

Could batch fix with:
1. Add explicit _ = for intentionally ignored errors
2. Handle errors properly where they matter
3. Consider adding //nolint:errcheck for cobra flag setup


Update harness beads redirect for GGT

Change ~/ai/.beads/redirect from mayor/rigs/gastown/.beads to gastown/mayor/.beads for the GGT directory structure


Refinery agent: merge queue processing loop

The Refinery agent processes the merge queue, merging polecat work to main.

## Interface

```go
type Refinery struct {
    rig    *Rig
    queue  *MergeQueue
    git    *Git
    mail   *Mailbox
    config RefineryConfig
}

type RefineryConfig struct {
    AutoMerge     bool          // Auto-merge passing MRs
    RunTests      bool          // Run tests before merge
    TestCommand   string        // Command to run tests
    RequireReview bool          // Require review before merge (future)
}

func NewRefinery(rig *Rig, ...) *Refinery

// Lifecycle
func (r *Refinery) Start() error
func (r *Refinery) Stop() error
func (r *Refinery) IsRunning() bool

// Processing
func (r *Refinery) ProcessQueue() error
func (r *Refinery) ProcessMR(mr *MergeRequest) error
```

## Processing Loop

1. Check queue for pending MRs
2. For each pending MR:
   a. Fetch polecat branch
   b. Attempt merge to refinery/rig (local main)
   c. Run tests if configured
   d. If pass: push to origin, mark merged
   e. If fail: mark rejected, notify polecat
3. Sleep, repeat

## Merge Strategy

- Fast-forward when possible
- Merge commit when not
- On conflict: reject MR, polecat must rebase

## Test Integration

If tests configured:
```bash
cd refinery/rig
git merge polecat/branch
<test_command>  # e.g., go test ./...
```
Result determines merge/reject.

## Notifications

On merge success:
- Mail to polecat: "Your work merged"
- Update bead if issue tracked

On merge failure:
- Mail to polecat: "Merge failed: <reason>"
- Include conflict details if applicable

## Dependencies

Needs: Rig management, Git wrapper, Mail system, Merge queue


Work on ga-p6r: Add handoff protocol to spawn priming. En...

Work on ga-p6r: Add handoff protocol to spawn priming. Ensure polecats receive handoff context when spawned. When done, submit MR (not PR) to integration branch for Refinery.


Swarm beads naming convention and auto-filing

Beads naming convention for swarm lifecycle events.

## Bead IDs

- swarm-started:<swarm-id>     # Filed when swarm begins
- swarm-task-merged:<swarm-id>:<task-id>  # Filed per task merge
- swarm-landed:<swarm-id>      # Filed when merged to main
- swarm-failed:<swarm-id>      # Filed on unrecoverable failure

## swarm-started Bead

Filed by: Mayor/Refinery at swarm creation
Contains:
- Swarm title and description
- List of tasks (issue IDs)
- List of workers (polecat names)
- Base commit SHA

## swarm-task-merged Bead

Filed by: Refinery after each successful merge
Contains:
- Task issue ID and title
- Polecat name
- Merge commit SHA
- Test results summary

## swarm-landed Bead

Filed by: Refinery after landing to main
Contains:
- Final merge commit SHA
- Stats: tasks completed, time taken
- List of all merged task beads
- Integration branch name (now deleted)

## swarm-failed Bead

Filed by: Refinery on unrecoverable failure
Contains:
- Failure reason
- Tasks merged vs not merged
- Recovery guidance

## Why Beads (not just mail)

- Persistent, queryable, synced to git
- Other agents can check status without mail
- Creates audit trail
- Works when agents offline


Design: Collapse mail into beads

## Proposal

Replace the separate mail system (JSONL inboxes) with beads issues using a naming convention.

## Rationale

If all state should be in beads (work items, swarm state, dependencies), why have a separate system for messages? Mail is just:
- Handoffs (agent → self)
- Commands (Mayor → Refinery)
- Escalations (Witness → Mayor)

These can all be beads issues with a special prefix.

## Design

### Convention
- Messages use `@-` prefix: `@-witness-1734012345`
- Assignee = recipient
- Status: open = unread, closed = read/acknowledged
- Priority 0 = urgent

### Commands (thin wrappers)
```bash
gt mail send witness -s "Subject" -m "Body"
  → bd create --prefix=@ --title="Subject" --assignee=witness --description="Body"

gt mail inbox
  → bd list --prefix=@ --assignee=$(gt whoami) --status=open

gt mail read @-abc
  → bd show @-abc && bd close @-abc
```

### Notification
Daemon watches for new `@-` issues and pokes relevant sessions.
Or: agents poll on heartbeat (simpler).

## What We Remove
- `mail/inbox.jsonl` files
- Mail JSONL read/write code
- Separate delivery mechanism

## What We Keep
- `gt mail` CLI (as wrapper)
- Handoff semantics
- Notification (via daemon or polling)

## Benefits
- One system, one sync, one query interface
- All communication in git history
- Simpler architecture

## Risks
- Beads prefix filtering must be efficient
- Namespace collision with user prefixes
- Performance for high-frequency messages (probably fine for handoffs)

## Decision Point
Do we need first-class mail support in beads (`bd mail` commands) or is convention sufficient?


Add gt decommission command for clean swarm/worker shutdown

Single command to cleanly shut down a swarm and its workers: cancel swarm, stop sessions, optionally remove polecats. E.g. gt decommission gt-hw6 --cleanup


HTTP work client: CloudRun dispatch client

## Overview

HTTP client for dispatching work to Cloud Run and streaming results back.

## Implementation

```go
type WorkClient struct {
    serviceURL string
    httpClient *http.Client  // HTTP/2 enabled
}

func NewWorkClient(serviceURL string) *WorkClient {
    return &WorkClient{
        serviceURL: serviceURL,
        httpClient: &http.Client{
            Transport: &http2.Transport{},
            Timeout:   0,  // No timeout for streaming
        },
    }
}

func (c *WorkClient) DispatchWork(ctx context.Context, req WorkRequest) (<-chan WorkEvent, error) {
    // 1. POST to /work
    // 2. Return channel that streams WorkEvents
    // 3. Close channel when done/error
}
```

## Streaming Reader

```go
func (c *WorkClient) streamEvents(body io.Reader, events chan<- WorkEvent) {
    defer close(events)
    decoder := json.NewDecoder(body)
    for {
        var event WorkEvent
        if err := decoder.Decode(&event); err != nil {
            return
        }
        events <- event
    }
}
```

## Files

- `internal/cloudrun/client.go`

## Dependencies

Depends on: gt-9a2.7 (protocol types)
Used by: gt-9a2.8 (CloudRunOutpost)


Work on gt-role-template: Refine witness/CLAUDE.md role t...

Work on gt-role-template: Refine witness/CLAUDE.md role template. Add clearer heartbeat protocol, mail checking procedure, nudge decision criteria, escalation thresholds. Run 'bd show gt-role-template' for details.


HOP: Skill vectors on work items

Add skill embeddings to work items for capability-based matching. See ~/ai/stevey-gastown/hop/CONTEXT.md. Post-v0.1 work.


Success handling: close MR, close source issue, cleanup

Handle successful merge completion.

Steps:
1. Update MR with merge_commit SHA:
   bd update <id> --body='...\nmerge_commit: <sha>'
2. Close MR with reason:
   bd close <id> --reason='merged'
3. Close source issue (the work item):
   bd close <source_issue> --reason='Merged in <mr_id>'
4. Delete source branch (if configured):
   git push origin --delete <mr.branch>
5. Log success

Configuration:
- delete_merged_branches: bool (default true)

Reference: docs/merge-queue-design.md#process-merge-steps


Swarm: report generation

Generate markdown reports for completed swarms.

## Command
```
gt swarm report <swarm-id> [--save <file>]
```

## Report Content

### Header
- Swarm ID and title
- Created/completed timestamps
- Duration
- Rig name

### Task Summary
| Task | Assignee | Status | Duration |
|------|----------|--------|----------|
| gt-xxx | Toast | merged | 15m |
| gt-yyy | Nux | merged | 22m |

### Worker Contributions
- Commits per worker
- Issues closed per worker
- Lines changed (optional)

### Timeline
- Chronological events from events.jsonl
- Key milestones (started, first merge, landing)

### Issues Encountered
- Conflicts resolved
- Failed tasks (if any)
- Escalations

## Implementation
```go
func GenerateReport(swarmID string) (*SwarmReport, error)
func (r *SwarmReport) ToMarkdown() string
```

## Storage
- Save to <rig>/.gastown/swarms/<id>/report.md
- Or user-specified path with --save

## PGT Reference
gastown-py/src/gastown/swarm/manager.py generate_report()

## Acceptance Criteria
- [ ] Markdown report generated
- [ ] Includes all sections above
- [ ] Auto-saved to swarm directory
- [ ] --save allows custom path


Merge: gt-3x1

branch: polecat/Slit
target: main
source_issue: gt-3x1
rig: gastown


Create DEACON.md role context

Create ~/gt/DEACON.md with the Deacon's role context, wake cycle instructions, and command reference. Model after existing CLAUDE.md for Mayor.


Swarm cleanup: delete merged polecat branches and reset state

After a swarm completes and branches are merged, leftover state remains:

## Current Problem

1. **Remote branches not deleted** - polecat/* branches stay on origin after merge
2. **Polecat clones not reset** - still on old branch with completed work
3. **No cleanup command** - manual cleanup required

## Observed After Swarm

Remote branches still present:
- origin/polecat/Morsov
- origin/polecat/Nux
- origin/polecat/Rictus
- origin/polecat/Slit
- origin/polecat/Toast

## Proposed Solution

Add cleanup commands:

1. gt swarm cleanup <swarm-id> - Clean up after swarm completion
   - Delete remote polecat branches that were merged
   - Reset polecat clones to main
   - Clear issue assignments

2. gt polecat reset <rig>/<polecat> - Reset single polecat
   - git checkout main && git pull
   - Delete local polecat branch
   - Clear current issue assignment

3. Auto-cleanup option on gt session stop --cleanup

## Manual Cleanup For Now

git push origin --delete polecat/Nux polecat/Toast ...
cd polecats/Nux && git checkout main && git pull


Built-in molecules: engineer-in-box, quick-fix, research

Create built-in molecules as Beads issues:

## engineer-in-box

```markdown
id: mol-engineer-in-box
type: molecule
title: Engineer in a Box

Full workflow from design to merge.

## Step: design
Think carefully about architecture. Consider:
- Existing patterns in the codebase
- Trade-offs between approaches
- Testability and maintainability

Write a brief design summary before proceeding.

## Step: implement
Write the code. Follow codebase conventions.
Needs: design

## Step: review
Self-review the changes. Look for:
- Bugs and edge cases
- Style issues
- Missing error handling
Needs: implement

## Step: test
Write and run tests. Cover happy path and edge cases.
Fix any failures before proceeding.
Needs: implement

## Step: submit
Submit for merge via refinery.
Needs: review, test
```

## quick-fix

```markdown
id: mol-quick-fix
type: molecule
title: Quick Fix

Fast path for small changes.

## Step: implement
Make the fix. Keep it focused.

## Step: test
Run relevant tests. Fix any regressions.
Needs: implement

## Step: submit
Submit for merge.
Needs: test
```

## research

```markdown
id: mol-research
type: molecule
title: Research

Investigation workflow.

## Step: investigate
Explore the question. Search code, read docs,
understand context. Take notes.

## Step: document
Write up findings. Include:
- What you learned
- Recommendations
- Open questions
Needs: investigate
```

## Storage

Built-in molecules live in `<town>/.beads/` as regular issues.
Created during `gt install` or `bd init`.


Merge: gt-92l

branch: polecat/Ace
target: main
source_issue: gt-92l
rig: gastown


Epic: Refinery Engineer Autonomy

Make Refinery Engineer fully autonomous:

## Goal
Refinery can run indefinitely, processing all polecat work through merge queue, cycling sessions as needed, without human intervention.

## Key Components
1. Role prompting (CLAUDE.md, templates)
2. Handoff mechanism (pinned beads)
3. Context detection (gt prime)
4. Communication protocol (Witness, Deacon)
5. Future: Merge orchestration plugins

## Success Criteria
- Refinery starts, reads handoff, knows what to do
- Processes merges sequentially with conflict resolution
- Cycles sessions cleanly via Deacon
- Communicates results to Witness
- No work left behind


Add Gas Town theory of operation to all role primings

All roles (Mayor, Witness, Refinery, Polecat) should get basic GT architecture context: harness, rigs, agents, mail, beads workflow


Replaceable notifications via Claude Code queue

Leverage Claude Code's ability to replace queued text for notifications that supersede previous ones.

## Problem

If daemon sends 10 heartbeats while agent is busy, agent returns to see 10 stacked messages. Wasteful and noisy.

## Solution

Use Claude Code's queue replacement for:
- Heartbeat messages (only latest matters)
- Status updates that supersede previous
- Progress notifications

## Implementation

Notifications get a 'slot' identifier. New notification in same slot replaces old one:
- Slot: 'heartbeat' → only one heartbeat queued at a time
- Slot: 'status-<rig>' → latest status per rig
- No slot → stacks normally (for unique messages)

## Research Needed

- How does Claude Code expose queue replacement?
- tmux send-keys behavior with pending input
- Alternative: clear + resend pattern


Deacon plugin scheduler: cron-like execution

Implement scheduled plugin execution in the Deacon's plugins step.

## Concept

Plugins are just directories with config. Deacon checks which are due
and executes them during the plugins step of rounds.

## Plugin Registration

Plugins are registered in:
1. Pinned kernel bead (preferred)
2. `{townRoot}/plugins/` directory scan (fallback)

Each plugin has:
```json
{
  "name": "beads-hygiene",
  "schedule": "0 2 * * *",
  "last_run": "2025-12-20T02:00:00Z",
  "enabled": true,
  "attention_budget": "low",
  "max_duration_minutes": 30
}
```

## Schedule Format

Standard cron format: `minute hour day month weekday`
- `0 2 * * *` - 2 AM daily
- `0 4 * * 0` - 4 AM Sundays
- `*/15 * * * *` - Every 15 minutes

## Execution

During plugins step:
1. Load plugin schedules from kernel bead + directory
2. For each plugin:
   a. Parse schedule, check if due (last_run + schedule)
   b. If due, execute:
      - Read `plugins/{name}/CLAUDE.md` for context
      - Run plugin logic (inline or spawn subagent)
      - Record outcome and update last_run
3. Continue to next step

## Plugin Execution Modes

- **inline**: Deacon runs the plugin logic directly (simple, fast)
- **subagent**: Spawn a polecat-like agent for the plugin (complex, parallel)
- **mail**: Send mail to another agent to do the work (delegation)

## State Tracking

`{townRoot}/deacon/plugin-state.json`:
```json
{
  "plugins": {
    "beads-hygiene": {
      "last_run": "2025-12-20T02:00:00Z",
      "last_outcome": "success",
      "run_count": 42,
      "failure_count": 2
    }
  }
}
```

## Relation to gt-axz

This implements the execution side of the plugin architecture (gt-axz).
gt-axz defines the format; this task implements the scheduler.


Work on ga-xxp: Define mol-polecat-work standard molecule...

Work on ga-xxp: Define mol-polecat-work standard molecule. See bd show ga-xxp for full details.


MVP Cutover: GGT replaces PGT for batch work

When this is closed, stop using town and start using gt.

## Acceptance Criteria

1. gt spawn assigns issue to polecat and starts session
2. gt spawn --epic spawns workers for all epic children
3. gt session manages tmux lifecycle
4. gt send / gt inbox work for mail
5. Refinery processes merge queue with semantic merges
6. Integration branches created and landed correctly
7. gt stop --all halts all sessions
8. One successful test batch completed end-to-end

## What Must Work

- Spawn polecat with issue assignment
- Spawn workers for epic children
- Session start/stop/attach
- Mail send/inbox/read
- Refinery merge loop (semantic)
- Integration branch → main landing
- Witness cleanup protocol
- Emergency stop

## What Can Be Deferred

- Doctor checks (use PGT)
- TUI dashboard
- Plugin system
- Federation
- Ephemeral rigs
- Detailed landing reports

## Test Plan

1. Create epic with 2 tasks, spawn 2 workers
2. Verify polecats get assigned and sessions start
3. Simulate task completion
4. Verify Refinery merges to integration
5. Verify landing to main
6. Verify cleanup

## Validation

Run one real batch implementing GGT issues using GGT.

## Note

No "swarm IDs" - just spawn workers for epic, let merge queue coordinate.


gt crew refresh: Context cycling with handoff

Implement 'gt crew refresh <name>' command:
- Send handoff mail to self (context summary)
- Kill current session cleanly
- Start new session
- New session reads handoff mail and resumes
- Support --message to add custom handoff notes


Crew worker CLAUDE.md prompting

Create CLAUDE.md template for crew workers:
- Explain crew worker role (overseer's personal workspace)
- Include mail-to-self handoff instructions
- Document gt crew refresh for context cycling
- Explain no witness monitoring (user-managed)
- Include beads usage if BEADS_DIR configured


Add molecules.jsonl as separate catalog file for template molecules


Error handling improvements: retry logic and recovery hints

Improve error handling across GGT codebase.

## Issues Found

### 1. Silent Failures in Refinery
manager.go ProcessMR():
- git pull errors ignored
- Continues processing even on partial failures

### 2. Missing Beads CLI
Many operations silently continue if `bd` not found:
```go
// Current
tasks, err := m.loadTasksFromBeads(epicID)
if err != nil {
    // Non-fatal - swarm can start without tasks
}

// Better
if err != nil {
    return nil, fmt.Errorf("beads required: %w", err)
}
```

### 3. No Retry Logic
Network/lock errors should retry:
```go
func withRetry(attempts int, delay time.Duration, fn func() error) error {
    for i := 0; i < attempts; i++ {
        if err := fn(); err == nil {
            return nil
        }
        time.Sleep(delay)
    }
    return fmt.Errorf("failed after %d attempts", attempts)
}
```

### 4. Recovery Hints
Error messages should include fix suggestions:
```go
// Current
return fmt.Errorf("polecat not found")

// Better
return fmt.Errorf("polecat '%s' not found. Use 'gt polecat list' to see available polecats", name)
```

## Domain Error Types
```go
type SessionError struct {
    Op      string
    Polecat string
    Err     error
}

func (e *SessionError) Error() string {
    return fmt.Sprintf("session %s for %s: %v", e.Op, e.Polecat, e.Err)
}
```

## Files to Review
- internal/refinery/manager.go
- internal/swarm/manager.go
- internal/session/manager.go
- All cmd/*.go files

## Acceptance Criteria
- [ ] No silent error swallowing
- [ ] Retry logic for transient failures
- [ ] Helpful error messages with hints
- [ ] Consistent error types per domain


Test7

Test with fixed workdir


Complete gt crew commands (list, attach, remove, refresh, status)

Add remaining crew subcommands to internal/cmd/crew.go:

1. gt crew list - List crew workspaces with status
2. gt crew at/attach - Start tmux session in crew workspace
3. gt crew remove - Remove crew workspace (with safety checks)
4. gt crew refresh - Context cycling with mail-to-self handoff
5. gt crew status - Show detailed workspace status

Build on existing crew add implementation in internal/cmd/crew.go.
Reference closed issues gt-cik.3-7 for original requirements.


Plugin system: subprocess JSON protocol

Language-agnostic plugin system via subprocess JSON protocol.

## Concept

Allow extending Gas Town with external scripts/programs. Plugins communicate via stdin/stdout JSON.

## Protocol

Request (gt → plugin):
```json
{"method": "check", "params": {"rig": "wyvern", "polecat": "Toast"}}
```

Response (plugin → gt):
```json
{"result": {...}, "error": null}
```

Error response:
```json
{"result": null, "error": {"code": 1, "message": "..."}}
```

## Interface

```go
type Plugin struct {
    Name    string
    Path    string  // executable path
    Methods []string
}

type PluginManager struct {
    plugins map[string]*Plugin
}

func NewPluginManager() *PluginManager
func (pm *PluginManager) Register(plugin *Plugin) error
func (pm *PluginManager) Call(plugin, method string, params any) (any, error)
func (pm *PluginManager) Discover(dir string) error  // auto-discover plugins
```

## Plugin Discovery

Look in:
1. `<town>/plugins/`
2. `~/.config/gastown/plugins/`
3. System path with `gt-plugin-*` prefix

## Built-in Hooks

Plugins can register for events:
- `polecat.started` - Polecat session started
- `polecat.done` - Polecat signals done
- `merge.requested` - MR submitted
- `merge.completed` - MR merged

## Use Cases

- Custom health checks
- Integration with external systems (Slack, etc.)
- Custom merge policies
- Metrics collection

## Future

Consider MCP integration for richer plugin capabilities.


Patrols: Cyclic molecules for autonomous maintenance

## Vision

Patrols are **cyclic molecules** - workflow loops that give Gas Town its autonomous nervous system. While regular molecules are DAGs that terminate, patrols loop forever, performing maintenance tasks at varying cadences.

This is the "steam engine" of Gas Town: converting episodic Claude sessions into continuous autonomous operation.

## Core Concepts

### 1. Cyclic Molecules

Regular molecule:     A -> B -> C -> done
Patrol molecule:      A -> B -> C --+
                      ^             |
                      +-------------+

Patrols have a loop_to field specifying where to restart.

### 2. Cooldown-Aware Steps (Atoms)

Steps encode their own cadence. When patrol reaches a step:
1. Check: now - last_run > cooldown?
2. If yes: execute, update last_run
3. If no: skip (immediately close)

The patrol runner is simple - steps self-skip. Complexity distributed into atoms.

### 3. The Beacon

The heartbeat that fires patrol triggers:
- Internal ticker in Deacon (goroutine)
- Or external cron firing gt deacon tick
- Or mail-based triggers

Without beacon, nothing proactive happens.

### 4. Session Reset as Patrol Step

Connects to auto-handoff (gt-bcwn). Session reset is a patrol step, not a separate mechanism.

### 5. Multi-Role Patrols

Each supervisor has its own patrol:

**Deacon patrol:** health-check (30s), session-gc (5m), beacon-tick (10s)
**Witness patrol:** orphan-scan (10m), stuck-check (2m), molecule-progress (1m)
**Refinery patrol:** queue-check (30s), pr-status (1m), merge-ready (30s)

### 6. Cadence Tiers

- Critical (10-30s): Health checks
- Active (1-5m): Progress, nudges
- Maintenance (10-30m): Orphans, GC
- Periodic (1h+): Reports

### 7. Best-Effort Scheduling

Not real-time - more like cron. No hard deadlines. Catch-up, dont pile-up.
Priority preemption (mail interrupts patrol). Graceful degradation under load.

## Open Questions

1. State persistence: Beads (self-describing) or file (faster)?
2. Interruption: How does urgent mail preempt patrol?
3. Error recovery: Backoff? Escalate? Circuit breaker?
4. Coordination: Can patrols send mail to trigger other patrols?

## Related

- gt-bcwn: Auto-handoff (session reset is a patrol step)
- Molecule system (patrols extend molecules with loops)
- Deacon lifecycle management

## Metaphor

Claude was fire. Claude Code was steam. Gas Town is the steam engine. Beads is the train tracks.

The steam engine converts episodic combustion into continuous rotary motion.
Gas Town converts episodic Claude sessions into continuous autonomous work.


Swarm state persistence: manifest + state + events

Upgrade swarm persistence to match PGT pattern.

## Current State
Single .gastown/swarms.json with all swarms.

## Target State (per-swarm)
```
.gastown/swarms/
└── <swarm-id>/
    ├── manifest.json  # Immutable config
    ├── state.json     # Mutable progress
    ├── events.jsonl   # Audit log
    └── report.md      # Generated report
```

## File Schemas

### manifest.json (immutable after creation)
```json
{
  "id": "sw-1",
  "title": "Epic description",
  "epic_id": "gt-abc",
  "rig": "gastown",
  "base_commit": "abc123",
  "integration_branch": "swarm/sw-1",
  "target_branch": "main",
  "workers": ["Toast", "Nux"],
  "tasks": [{"id": "gt-xyz", "title": "..."}],
  "created_at": "2024-01-01T00:00:00Z"
}
```

### state.json (mutable)
```json
{
  "state": "active",
  "task_states": {
    "gt-xyz": {"state": "merged", "assignee": "Toast"}
  },
  "updated_at": "2024-01-01T01:00:00Z",
  "error": null
}
```

### events.jsonl (append-only audit)
```jsonl
{"event": "created", "ts": "...", "data": {...}}
{"event": "task_assigned", "ts": "...", "data": {...}}
{"event": "task_merged", "ts": "...", "data": {...}}
```

## Benefits
- Audit trail via events.jsonl
- Manifest immutability prevents corruption
- Cleaner separation of concerns
- Per-swarm isolation

## Migration
Keep backward compat with swarms.json during transition.

## Files to Modify
- internal/swarm/manager.go: Refactor persistence
- internal/cmd/swarm.go: SwarmStore → directory-based

## Acceptance Criteria
- [ ] Per-swarm directory structure
- [ ] Events logged to JSONL
- [ ] Manifest immutable after creation
- [ ] List command aggregates from directories


Auto-rebase on conflict: optional automatic rebase

Implement automatic rebase as conflict resolution option.

When on_conflict=auto_rebase and conflicts detected:
1. Attempt: git rebase <target> <source-branch>
2. If clean rebase: update source branch, continue merge
3. If conflicts in rebase: abort, fall back to assign_back
4. Force push rebased branch (worker's branch)

Requires:
- Worker branch must be force-pushable
- Config: on_conflict: auto_rebase

Risks:
- Force push can confuse workers
- Complex conflicts still need manual resolution

Reference: docs/merge-queue-design.md#conflict-resolution-strategies


Session management: start, stop, attach, capture

Polecat session lifecycle management.

## Interface

```go
type SessionManager struct {
    tmux *Tmux
    rig  *Rig
}

func NewSessionManager(tmux *Tmux, rig *Rig) *SessionManager

// Lifecycle
func (sm *SessionManager) Start(polecat string, opts StartOptions) error
func (sm *SessionManager) Stop(polecat string) error
func (sm *SessionManager) IsRunning(polecat string) (bool, error)
func (sm *SessionManager) List() ([]SessionInfo, error)

// Interaction
func (sm *SessionManager) Attach(polecat string) error
func (sm *SessionManager) Capture(polecat string, lines int) (string, error)
func (sm *SessionManager) Inject(polecat string, message string) error

type StartOptions struct {
    WorkDir   string   // defaults to polecat clone dir
    Issue     string   // optional: issue to work on
    Command   string   // optional: override claude command
}

type SessionInfo struct {
    Polecat   string
    SessionID string
    Running   bool
    StartedAt time.Time
}
```

## Session Naming

`gt-<rig>-<polecat>` (e.g., `gt-wyvern-Toast`)

## Start Flow

1. Verify polecat clone exists
2. Check no existing session
3. Create tmux session in polecat workdir
4. Send initial command: `claude` or custom
5. If issue provided, inject initial prompt

## Stop Flow

1. Capture final output (for logging)
2. Send exit/quit command
3. Wait briefly for graceful shutdown
4. Kill session if still running

## Capture

Uses tmux capture-pane to get recent output. Returns last N lines.

## Inject

Sends text to session via tmux send-keys. Used for:
- Mail notifications
- Witness nudges
- User messages


Outpost error handling: Retry logic and resilience

## Overview

Error handling and retry logic for outpost operations.

## Error Types

```go
var (
    ErrOutpostUnreachable = errors.New("outpost unreachable")
    ErrWorkerSpawnFailed  = errors.New("worker spawn failed")
    ErrWorkerTimeout      = errors.New("worker timed out")
    ErrCostCapExceeded    = errors.New("cost cap exceeded")
    ErrAllOutpostsBusy    = errors.New("all outposts at capacity")
)
```

## Retry Policy

```go
type RetryPolicy struct {
    MaxAttempts     int
    InitialBackoff  time.Duration
    MaxBackoff      time.Duration
    BackoffFactor   float64
    RetryableErrors []error
}

func DefaultRetryPolicy() *RetryPolicy {
    return &RetryPolicy{
        MaxAttempts:    3,
        InitialBackoff: 1 * time.Second,
        MaxBackoff:     30 * time.Second,
        BackoffFactor:  2.0,
        RetryableErrors: []error{
            ErrOutpostUnreachable,
            ErrWorkerSpawnFailed,
        },
    }
}
```

## Retry Implementation

```go
func (m *OutpostManager) SpawnWithRetry(issue string, cfg WorkerConfig) (Worker, error) {
    var lastErr error
    backoff := m.retryPolicy.InitialBackoff

    for attempt := 0; attempt < m.retryPolicy.MaxAttempts; attempt++ {
        outpost := m.policy.SelectOutpost(issue, m.outposts)
        if outpost == nil {
            return nil, ErrAllOutpostsBusy
        }

        worker, err := outpost.Spawn(issue, cfg)
        if err == nil {
            return worker, nil
        }

        if !m.isRetryable(err) {
            return nil, err
        }

        lastErr = err
        time.Sleep(backoff)
        backoff = min(backoff * m.retryPolicy.BackoffFactor, m.retryPolicy.MaxBackoff)
    }

    return nil, fmt.Errorf("spawn failed after %d attempts: %w",
        m.retryPolicy.MaxAttempts, lastErr)
}
```

## Outpost Health Tracking

```go
type OutpostHealth struct {
    LastPing      time.Time
    LastError     error
    FailureCount  int
    CircuitBreaker bool  // If true, skip this outpost
}

func (m *OutpostManager) updateHealth(name string, err error) {
    // Track failures, open circuit breaker after N failures
    // Auto-reset after successful ping
}
```

## Config

```yaml
policy:
  retry:
    max_attempts: 3
    initial_backoff: 1s
    max_backoff: 30s

  circuit_breaker:
    failure_threshold: 5
    reset_timeout: 1m
```

## Files

- `internal/outpost/retry.go`
- `internal/outpost/health.go`

## Dependencies

Depends on: gt-9a2.3 (OutpostManager)
Can be done after basic outpost implementations work.


Ephemeral rig support for ad-hoc batch work

Support for temporary worker rigs for ad-hoc batch work.

## Use Case

Ad-hoc batch work where you want temporary workers:
- gt spawn --epic <epic-id> --ephemeral --workers 3
- Creates temp rig with 3 clones
- Workers process epic children
- Work merges through queue
- Clones cleaned up when done

## Interface

```go
type EphemeralRig struct {
    ID               string
    GitURL           string
    BaseCommit       string
    Workers          []string
    IntegrationBranch string
    EpicID           string  // associated epic (for cleanup trigger)
    CreatedAt        time.Time
}

func InitEphemeralRig(gitURL string, numWorkers int) (*EphemeralRig, error)
func (r *EphemeralRig) AddWorker(name string) error
func (r *EphemeralRig) Destroy(force bool) error
```

## Directory Structure

```
<rig>/ephemeral/
└── rig-a3f7/
    ├── config.json
    ├── Alice/     # clone
    ├── Bob/       # clone
    └── Carol/     # clone
```

## Cleanup Trigger

When all issues in the associated epic are closed AND merged, the ephemeral rig can be destroyed.

## Note

No swarm ID needed - the epic ID provides the grouping. Ephemeral rig is just a convenience for temporary clones.

## Reference

PGT: ephemeral.py (for structure, ignore swarm ID coupling)


Phase 3.1: Summary generation protocol

Define how agents generate summaries for squash.

## The Problem

Beads doesn't make AI calls (inversion of control). Gas Town agents must:
1. Generate their own summary before calling squash
2. Pass summary to bd squash command

## Summary Template

```
Task: <source issue title>
Action: <what was done - fix/implement/refactor/etc>
Outcome: <result - tests pass, committed, needs follow-up, etc>
Details: <1-2 sentences of specifics if needed>
```

## Example

```
Task: Fix lifecycle parser matching bug (gt-rixa)
Action: Reordered conditional checks in parseLifecycleRequest
Outcome: Tests passing, committed to polecat/furiosa
Details: The 'cycle' keyword was matching 'lifecycle:' prefix. Now checks restart/shutdown first, uses word boundary for cycle.
```

## Command

```bash
bd squash eph-abc123 --summary "Task: Fix lifecycle parser..."
```


Test from Mayor

This is a test message via GGT mail


Beads epic templates for batch work patterns

Optional: Define templates for common batch work patterns.

## Concept

A template encodes a workflow pattern that can be instantiated as beads:

```yaml
# templates/batch-basic.yaml
name: basic-batch
description: Simple batch work pattern
phases:
  - name: startup
    issues:
      - title: "Verify workers ready"
  - name: working
    # Actual work issues added separately
  - name: cleanup
    issues:
      - title: "Merge all branches"
      - title: "Clean up workers"
      - title: "Report to Mayor"
```

## Usage

```bash
gt spawn --template basic-batch --epic gt-u1j --workers 3
```

Creates beads epic with template phases + actual work from gt-u1j children.

## Decision Point

Templates are OPTIONAL. The core design (beads as state, multi-wave orchestration) works without templates. Templates are sugar for common patterns.

Consider deferring to P3 or dropping entirely if beads epics with dependencies suffice.

## Note

No "swarm IDs" involved - templates just pre-populate epic/issue structure.