myclaude/skills/do/SKILL.md

name, description, allowed-tools

name	description	allowed-tools
do	This skill should be used for structured feature development with codebase understanding. Triggers on /do command. Provides a 5-phase workflow (Understand, Clarify, Design, Implement, Complete) using codeagent-wrapper to orchestrate code-explorer, code-architect, code-reviewer, and develop agents in parallel.	Bash(.claude/skills/do/scripts/setup-do.py:*) Bash(.claude/skills/do/scripts/task.py:*)

do - Feature Development Orchestrator

An orchestrator for systematic feature development. Invoke agents via codeagent-wrapper, never write code directly.

Loop Initialization (REQUIRED)

When triggered via /do <task>, initialize the task directory immediately without asking about worktree:

python3 ".claude/skills/do/scripts/setup-do.py" "<task description>"

This creates a task directory under .claude/do-tasks/ with:

• task.md: Single file containing YAML frontmatter (metadata) + Markdown body (requirements/context)

Worktree decision is deferred until Phase 4 (Implement). Phases 1-3 are read-only and do not require worktree isolation.

Task Directory Management

Use task.py to manage task state:

# Update phase
python3 ".claude/skills/do/scripts/task.py" update-phase 2

# Check status
python3 ".claude/skills/do/scripts/task.py" status

# List all tasks
python3 ".claude/skills/do/scripts/task.py" list

Worktree Mode

The worktree is created only when needed (right before Phase 4: Implement). If the user chooses worktree mode:

1. Run setup with --worktree flag to create the worktree:

   python3 ".claude/skills/do/scripts/setup-do.py" --worktree "<task description>"
   

2. Use the DO_WORKTREE_DIR environment variable to direct codeagent-wrapper develop agent into the worktree. Do NOT pass --worktree to subsequent calls — that creates a new worktree each time.

# Save the worktree path from setup output, then prefix all develop calls:
DO_WORKTREE_DIR=<worktree_dir> codeagent-wrapper --agent develop - . <<'EOF'
...
EOF

Read-only agents (code-explorer, code-architect, code-reviewer) do NOT need DO_WORKTREE_DIR.

Hard Constraints

1. Never write code directly. Delegate all code changes to codeagent-wrapper agents.
2. Parallel-first. Run independent tasks via codeagent-wrapper --parallel.
3. Update phase after each phase. Use task.py update-phase <N>.
4. Expect long-running codeagent-wrapper calls. High-reasoning modes can take a long time.
5. Timeouts are not an escape hatch. If a call times out, retry with narrower scope.
6. Defer worktree decision until Phase 4. Only ask about worktree mode right before implementation. If enabled, prefix develop agent calls with DO_WORKTREE_DIR=<path>. Never pass --worktree after initialization.

Agents

Agent	Purpose	Needs --worktree
code-explorer	Trace code, map architecture, find patterns	No (read-only)
code-architect	Design approaches, file plans, build sequences	No (read-only)
code-reviewer	Review for bugs, simplicity, conventions	No (read-only)
develop	Implement code, run tests	Yes — use DO_WORKTREE_DIR env prefix

Issue Severity Definitions

Blocking issues (require user input):

• Impacts core functionality or correctness
• Security vulnerabilities
• Architectural conflicts with existing patterns
• Ambiguous requirements with multiple valid interpretations

Minor issues (auto-fix without asking):

• Code style inconsistencies
• Naming improvements
• Missing documentation
• Non-critical test coverage gaps

5-Phase Workflow

Phase 1: Understand (Parallel, No Interaction)

Goal: Understand requirements and map codebase simultaneously.

Actions: Run code-architect and 2-3 code-explorer tasks in parallel.

codeagent-wrapper --parallel <<'EOF'
---TASK---
id: p1_requirements
agent: code-architect
workdir: .
---CONTENT---
Analyze requirements completeness (score 1-10):
1. Extract explicit requirements, constraints, acceptance criteria
2. Identify blocking questions (issues that prevent implementation)
3. Identify minor clarifications (nice-to-have but can proceed without)

Output format:
- Completeness score: X/10
- Requirements: [list]
- Non-goals: [list]
- Blocking questions: [list, if any]

---TASK---
id: p1_similar_features
agent: code-explorer
workdir: .
---CONTENT---
Find 1-3 similar features, trace end-to-end. Return: key files with line numbers, call flow, extension points.

---TASK---
id: p1_architecture
agent: code-explorer
workdir: .
---CONTENT---
Map architecture for relevant subsystem. Return: module map + 5-10 key files.

---TASK---
id: p1_conventions
agent: code-explorer
workdir: .
---CONTENT---
Identify testing patterns, conventions, config. Return: test commands + file locations.
EOF

Phase 2: Clarify (Conditional)

Goal: Resolve blocking ambiguities only.

Actions:

1. Review p1_requirements output for blocking questions
2. IF blocking questions exist → Use AskUserQuestion
3. IF no blocking questions (completeness >= 8) → Skip to Phase 3

Phase 3: Design (No Interaction)

Goal: Produce minimal-change implementation plan.

codeagent-wrapper --agent code-architect - . <<'EOF'
Design minimal-change implementation:
- Reuse existing abstractions
- Minimize new files
- Follow established patterns from Phase 1 exploration

Output:
- File touch list with specific changes
- Build sequence
- Test plan
- Risks and mitigations
EOF

Phase 4: Implement + Review

Goal: Build feature and review in one phase.

Step 1: Decide on worktree mode (ONLY NOW)

Use AskUserQuestion to ask:

Develop in a separate worktree? (Isolates changes from main branch)
- Yes (Recommended for larger changes)
- No (Work directly in current directory)

If user chooses worktree:

python3 ".claude/skills/do/scripts/setup-do.py" --worktree "<task description>"
# Save the worktree path from output for DO_WORKTREE_DIR

Step 2: Invoke develop agent

For full-stack projects, split into backend/frontend tasks with per-task skills: injection. Use --parallel when tasks can be split; use single agent when the change is small or single-domain.

Single-domain example (prefix with DO_WORKTREE_DIR if worktree enabled):

# With worktree:
DO_WORKTREE_DIR=<worktree_dir> codeagent-wrapper --agent develop --skills golang-base-practices - . <<'EOF'
Implement with minimal change set following the Phase 3 blueprint.
- Follow Phase 1 patterns
- Add/adjust tests per Phase 3 plan
- Run narrowest relevant tests
EOF

# Without worktree:
codeagent-wrapper --agent develop --skills golang-base-practices - . <<'EOF'
Implement with minimal change set following the Phase 3 blueprint.
- Follow Phase 1 patterns
- Add/adjust tests per Phase 3 plan
- Run narrowest relevant tests
EOF

Full-stack parallel example (adapt task IDs, skills, and content based on Phase 3 design):

# With worktree:
DO_WORKTREE_DIR=<worktree_dir> codeagent-wrapper --parallel <<'EOF'
---TASK---
id: p4_backend
agent: develop
workdir: .
skills: golang-base-practices
---CONTENT---
Implement backend changes following Phase 3 blueprint.
- Follow Phase 1 patterns
- Add/adjust tests per Phase 3 plan

---TASK---
id: p4_frontend
agent: develop
workdir: .
skills: frontend-design,vercel-react-best-practices
dependencies: p4_backend
---CONTENT---
Implement frontend changes following Phase 3 blueprint.
- Follow Phase 1 patterns
- Add/adjust tests per Phase 3 plan
EOF

# Without worktree: remove DO_WORKTREE_DIR prefix

Note: Choose which skills to inject based on Phase 3 design output. Only inject skills relevant to each task's domain.

Step 3: Review

Step 3: Review

Run parallel reviews:

codeagent-wrapper --parallel <<'EOF'
---TASK---
id: p4_correctness
agent: code-reviewer
workdir: .
---CONTENT---
Review for correctness, edge cases, failure modes.
Classify each issue as BLOCKING or MINOR.

---TASK---
id: p4_simplicity
agent: code-reviewer
workdir: .
---CONTENT---
Review for KISS: remove bloat, collapse needless abstractions.
Classify each issue as BLOCKING or MINOR.
EOF

Step 4: Handle review results

• MINOR issues only → Auto-fix via develop, no user interaction
• BLOCKING issues → Use AskUserQuestion: "Fix now / Proceed as-is"

Phase 5: Complete (No Interaction)

Goal: Document what was built.

codeagent-wrapper --agent code-reviewer - . <<'EOF'
Write completion summary:
- What was built
- Key decisions/tradeoffs
- Files modified (paths)
- How to verify (commands)
- Follow-ups (optional)
EOF

Output the completion signal:

<promise>DO_COMPLETE</promise>