execute

Execute tasks with velocity and quality. Use when ready to implement after clarity and prioritization are complete. This is the fourth system in the 5-system framework.

181 stars

Best use case

execute is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Execute tasks with velocity and quality. Use when ready to implement after clarity and prioritization are complete. This is the fourth system in the 5-system framework.

Teams using execute should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/4-execute/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/4-execute/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/4-execute/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How execute Compares

Feature / AgentexecuteStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Execute tasks with velocity and quality. Use when ready to implement after clarity and prioritization are complete. This is the fourth system in the 5-system framework.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Execution System

> **Purpose:** Do the work at high quality with velocity.
> **When to trigger:** After clarity is established and priorities are set.

## Pre-Flight Checklist

Before writing any code, verify:

- [ ] **Clarity exists** - active-context.md is current with clear success criteria
- [ ] **Task is prioritized** - This is the right thing to work on now
- [ ] **Success criteria defined** - I know exactly what "done" looks like
- [ ] **Boundaries set** - I know what NOT to do

If any are missing → Return to appropriate system.

## Execution Protocol

### 1. Track Progress Visibly

Use TodoWrite at the start:
```
1. [ ] Step one of implementation
2. [ ] Step two of implementation
3. [ ] Validation step
```

Update status as you go. The user should always know where you are.

### 2. Make the Smallest Viable Change

- Don't over-engineer
- Don't add features that weren't requested
- Don't refactor unrelated code
- Don't add "nice to haves"
- Solve the exact problem, nothing more

### 3. Validate Continuously

After every significant change:
```bash
npx tsc --noEmit  # Catch type errors immediately
```

Don't let errors accumulate. Fix as you go.

### 4. One Thing at a Time

- Complete one task before starting another
- Don't context-switch mid-implementation
- If blocked, acknowledge it rather than switching
- Mark complete immediately when done

### 5. Parallel When Independent

Use subagents (Task tool) for truly independent work:
- Research while implementing
- Multiple unrelated fixes
- Exploration while writing

But NOT for dependent steps - those must be sequential.

## Quality Gates

Before marking any task complete:

### Code Quality
- [ ] Types pass (`npx tsc --noEmit`)
- [ ] No lint errors
- [ ] Follows existing patterns in codebase
- [ ] No unintended side effects

### Functionality
- [ ] Works for the happy path
- [ ] Edge cases considered
- [ ] Error states handled
- [ ] Loading states present (if UI)

### Integration
- [ ] Doesn't break existing functionality
- [ ] Works with existing data
- [ ] API contracts maintained

### Documentation (if applicable)
- [ ] Complex logic commented
- [ ] API changes noted in SOURCE_OF_TRUTH.md
- [ ] Breaking changes flagged

## Velocity Principles

**Do:**
- Edit existing files over creating new ones
- Use existing patterns and utilities
- Ask early if blocked (don't spin)
- Ship incrementally
- Commit working states frequently

**Don't:**
- Invent new patterns when existing ones work
- Gold-plate solutions
- Wait until everything is perfect
- Make changes outside the task scope

## Output Tracking

During execution, maintain:
1. **Todos** - Current task breakdown with status
2. **Active context** - Updated if scope changes
3. **Issues** - Any new problems discovered → Identity System

## Completion Criteria

A task is ONLY complete when:
1. All acceptance criteria from clarity are met
2. All quality gates pass
3. Type check passes
4. Functionality verified
5. No regressions introduced

## Handling Blocks

If you hit a wall during execution:

1. **STOP** - Don't keep trying the same failing approach
2. **DOCUMENT** - What was attempted, what failed
3. **TRANSITION** - Go to Reset System if blocked, or ask user

Never mark something complete that isn't actually done.

## Transition

After execution:
- Success → Mark complete, update SOURCE_OF_TRUTH.md if significant
- Partial success → Document what remains, continue or handoff
- Failure → Proceed to **Reset System**
- New issues discovered → Log to **Identity System**

**Capture Learning:** If something important was learned (new pattern, gotcha, or insight), add one line to `learnings.md`. Keep it brief - this is memory, not documentation.

---

*This is System 4 of 5: Clarity → Identity → Priority → Execution → Reset*

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