zen Workflow Skill

This skill provides context for zen workflow operations.

Auto-Activation Keywords

• Issue, PR, Pull Request
• workflow, zen
• branch, commit
• GitHub Projects
• review, lint

Context

When activated, this skill provides:

1. Workflow Awareness

   • Current branch and associated Issue
   • Work memory state
   • Status in GitHub Projects

2. Command Guidance

   • Suggest appropriate commands
   • Remind about work memory updates
   • Guide through workflow steps

3. Best Practices

   • Conventional Commits format
   • Branch naming conventions
   • PR template usage

4. Coding Principles

   • Avoid common AI coding failure patterns
   • See references/coding-principles.md for details

5. Common Principles

   • Reduce excessive AskUserQuestion usage
   • See references/common-principles.md for details

Workflow State Detection

Detect current state from:

• Branch name pattern: {type}/issue-{number}-*
  • {type} values: feat, fix, docs, refactor, chore, style, test
  • style is used for code style/formatting changes (no logic changes)
• Git status
• Open PRs

Suggested Actions

State	Suggestion
On main/develop, no Issue	/zen:issue:create or /zen:issue:list
On feature branch, no PR	/zen:pr:create after work
PR open, draft	/zen:pr:review then /zen:pr:ready
Long session (30+ minutes elapsed)	/zen:issue:update
Sprint with Todo Issues available	/zen:sprint:execute to run Issues sequentially
Sprint with multiple independent Issues	/zen:sprint:team-execute to run Issues in parallel with worktrees

Question Management

Key Principle: Always apply question_self_check (see references/common-principles.md) before asking questions. Most questions can be avoided through context inference and using sensible defaults.

When Questions Are Necessary

Ask immediately (do not defer) when:

• Blockers: Issues that prevent further progress
• Security-related: Decisions affecting security
• Destructive operations: Actions that cannot be undone
• External impacts: Changes affecting users or external systems

Work Memory Integration

If questions arise during work, record them in the work memory comment under "要確認事項" (Items to Confirm):

### 要確認事項

1. [ ] {confirmation_item_1}
2. [ ] {confirmation_item_2}

Expected Question Frequency by Phase

Phase	Typical Questions	Notes
Issue Start (Phase 1.3)	0-1 questions	Only for score C/D Issues with insufficient information
Implementation (Phase 5)	0 questions	Use defaults and infer from context; record ambiguities in work memory
PR Review (review/fix loop)	0-1 questions	Only for critical architectural decisions

Target: Minimize questions through context inference and sensible defaults. Record non-blocking questions in work memory for batch review.

Session Start Auto-Detection

Automatically detect work state at session start and notify if interrupted work exists.

See references/session-detection.md for details.

Quick Reference

1. Extract Issue number from branch name ({type}/issue-{number}-* pattern)
2. Fetch work memory comment from the Issue
3. Extract and display phase information

See references/phase-mapping.md for phase list.

See references/work-memory-format.md for work memory format.

AI Coding Principles (Summary)

Principles to avoid common failure patterns in AI coding agents.

Principle	Summary	When to Apply
assumption_surfacing	Surface assumptions explicitly and confirm before proceeding	Implementation planning & coding
confusion_management	Stop and confirm when contradictions or unknowns are detected	Issue quality check & planning
push_back_when_warranted	Push back when problems are found	PR review
simplicity_enforcement	Avoid excessive complexity	Implementation
scope_discipline	Only change what was requested	Implementation
dead_code_hygiene	Identify and confirm removal of dead code	Implementation
inline_planning	Present plan before implementing	Implementation planning
issue_accountability	Always address discovered issues; never dismiss as "out of scope"	All phases

See references/coding-principles.md for details.

Note: The question_self_check principle has been consolidated into Common Principles. See the section below.

Common Principles (AskUserQuestion Reduction)

Principles to reduce excessive AskUserQuestion usage.

Principle	Summary	When to Apply
question_self_check	Self-check whether the question is truly necessary	All phases
default_value_usage	Use defaults when clearly available instead of confirming	Configuration lookup
context_inference	Infer from context instead of asking	All phases

See references/common-principles.md for details.

gh CLI Safety Rules

All gh commands that accept --body or --comment parameters MUST use safe patterns to avoid shell injection:

• Use --body-file with mktemp for multi-line content
• Reference: See references/gh-cli-patterns.md for detailed safe patterns

Never pass user-generated content directly via --body or --comment flags.

Integration

This skill works with:

• All /zen:* commands
• GitHub CLI operations
• Git operations