Reorganize the claude-code-skill into a publishable plugin that can be installed through the beads-marketplace. Users can now reference the 'beads' skill right after installing the marketplace. Co-authored-by: Steve Yegge <steve.yegge@gmail.com>
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Issue Creation Guidelines
Guidance on when and how to create bd issues for maximum effectiveness.
Contents
- When to Ask First vs Create Directly
- Issue Quality
- Making Issues Resumable
- Design vs Acceptance Criteria
When to Ask First vs Create Directly
Ask the user before creating when:
- Knowledge work with fuzzy boundaries
- Task scope is unclear
- Multiple valid approaches exist
- User's intent needs clarification
Create directly when:
- Clear bug discovered during implementation
- Obvious follow-up work identified
- Technical debt with clear scope
- Dependency or blocker found
Why ask first for knowledge work? Task boundaries in strategic/research work are often unclear until discussed, whereas technical implementation tasks are usually well-defined. Discussion helps structure the work properly before creating issues, preventing poorly-scoped issues that need immediate revision.
Issue Quality
Use clear, specific titles and include sufficient context in descriptions to resume work later.
Field Usage
Use --design flag for:
- Implementation approach decisions
- Architecture notes
- Trade-offs considered
Use --acceptance flag for:
- Definition of done
- Testing requirements
- Success metrics
Making Issues Resumable (Complex Technical Work)
For complex technical features spanning multiple sessions, enhance notes field with implementation details.
Optional but valuable for technical work:
- Working API query code (tested, with response structure)
- Sample API responses showing actual data
- Desired output format examples (show, don't describe)
- Research context (why this approach, what was discovered)
Example pattern:
bd update issue-9 --notes "IMPLEMENTATION GUIDE:
WORKING CODE: service.about().get(fields='importFormats')
Returns: dict with 49 entries like {'text/markdown': [...]}
OUTPUT FORMAT: # Drive Import Formats (markdown with categorized list)
CONTEXT: text/markdown support added July 2024, not in static docs"
When to add: Multi-session technical features with APIs or specific formats. Skip for simple tasks.
For detailed patterns and examples, read: RESUMABILITY.md
Design vs Acceptance Criteria (Critical Distinction)
Common mistake: Putting implementation details in acceptance criteria. Here's the difference:
DESIGN field (HOW to build it):
- "Use two-phase batchUpdate approach: insert text first, then apply formatting"
- "Parse with regex to find * and _ markers"
- "Use JWT tokens with 1-hour expiry"
- Trade-offs: "Chose batchUpdate over streaming API for atomicity"
ACCEPTANCE CRITERIA (WHAT SUCCESS LOOKS LIKE):
- "Bold and italic markdown formatting renders correctly in the Doc"
- "Solution accepts markdown input and creates Doc with specified title"
- "Returns doc_id and webViewLink to caller"
- "User tokens persist across sessions and refresh automatically"
Why this matters:
- Design can change during implementation (e.g., use library instead of regex)
- Acceptance criteria should remain stable across sessions
- Criteria should be outcome-focused ("what must be true?") not step-focused ("do these steps")
- Each criterion should be verifiable - you can definitively say yes/no
The pitfall
Writing criteria like "- [ ] Use batchUpdate approach" locks you into one implementation.
Better: "- [ ] Formatting is applied atomically (all at once or not at all)" - allows flexible implementation.
Test yourself
If you rewrote the solution using a different approach, would the acceptance criteria still apply? If not, they're design notes, not criteria.
Example of correct structure
✅ Design field:
Two-phase Docs API approach:
1. Parse markdown to positions
2. Create doc + insert text in one call
3. Apply formatting in second call
Rationale: Atomic operations, easier to debug formatting separately
✅ Acceptance criteria:
- [ ] Markdown formatting renders in Doc (bold, italic, headings)
- [ ] Lists preserve order and nesting
- [ ] Links are clickable
- [ ] Large documents (>50KB) process without timeout
❌ Wrong (design masquerading as criteria):
- [ ] Use two-phase batchUpdate approach
- [ ] Apply formatting in second batchUpdate call
Quick Reference
Creating good issues:
- Title: Clear, specific, action-oriented
- Description: Problem statement, context, why it matters
- Design: Approach, architecture, trade-offs (can change)
- Acceptance: Outcomes, success criteria (should be stable)
- Notes: Implementation details, session handoffs (evolves over time)
Common mistakes:
- Vague titles: "Fix bug" → "Fix: auth token expires before refresh"
- Implementation in acceptance: "Use JWT" → "Auth tokens persist across sessions"
- Missing context: "Update database" → "Update database: add user_last_login for session analytics"