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SkillHub ClubDesign ProductFull StackDesigner

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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
2,471
Hot score
99
Updated
March 19, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install cexll-myclaude-do

Repository

cexll/myclaude

Skill path: skills/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.

Open repository

Best for

Primary workflow: Design Product.

Technical facets: Full Stack, Designer.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: cexll.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install do into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/cexll/myclaude before adding do to shared team environments
  • Use do for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: do
description: 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.
allowed-tools: ["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:

```bash
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:

```bash
# 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:
   ```bash
   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.

```bash
# 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.

```bash
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.

```bash
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:
```bash
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):

```bash
# 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):

```bash
# 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:

```bash
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.

```bash
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>
```
do | SkillHub