Myclaude 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.
git clone https://github.com/stellarlinkco/myclaude
T=$(mktemp -d) && git clone --depth=1 https://github.com/stellarlinkco/myclaude "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/do" ~/.claude/skills/stellarlinkco-myclaude-do && rm -rf "$T"
skills/do/SKILL.mddo - 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 "$HOME/.claude/skills/do/scripts/setup-do.py" "<task description>"
This creates a task directory under
.claude/do-tasks/ with:
: Single file containing YAML frontmatter (metadata) + Markdown body (requirements/context)task.md
Worktree decision is deferred until Phase 4 (Implement). Phases 1-3 are read-only and do not require worktree isolation.
Task Directory Management
Use
task.py to manage task state:
# Update phase python3 "$HOME/.claude/skills/do/scripts/task.py" update-phase 2 # Check status python3 "$HOME/.claude/skills/do/scripts/task.py" status # List all tasks python3 "$HOME/.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:
-
Run setup with
flag to create the worktree:--worktreepython3 "$HOME/.claude/skills/do/scripts/setup-do.py" --worktree "<task description>" -
Use the
environment variable to directDO_WORKTREE_DIR
develop agent into the worktree. Do NOT passcodeagent-wrapper
to subsequent calls — that creates a new worktree each time.--worktree
# 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
- Never write code directly. Delegate all code changes to
agents.codeagent-wrapper - Parallel-first. Run independent tasks via
.codeagent-wrapper --parallel - Update phase after each phase. Use
.task.py update-phase <N> - Expect long-running
calls. High-reasoning modes can take a long time.codeagent-wrapper - Timeouts are not an escape hatch. If a call times out, retry with narrower scope.
- Defer worktree decision until Phase 4. Only ask about worktree mode right before implementation. If enabled, prefix develop agent calls with
. Never passDO_WORKTREE_DIR=<path>
after initialization.--worktree
Agents
| Agent | Purpose | Needs --worktree |
|---|---|---|
| Trace code, map architecture, find patterns | No (read-only) |
| Design approaches, file plans, build sequences | No (read-only) |
| Review for bugs, simplicity, conventions | No (read-only) |
| Implement code, run tests | Yes — use 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:
- Review
output for blocking questionsp1_requirements - IF blocking questions exist → Use AskUserQuestion
- 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 "$HOME/.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
, no user interactiondevelop - 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>