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craftwork

9 engineering disciplines for AI agents — TDD, debugging, code review, planning, and multi-agent coordination. Build software like it matters.

gaurangbhattspaceo0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install gaurangbhattspaceo/craftwork

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Skill instructions

Craft — Engineering Discipline for AI Agents

9 skills that turn AI agents into disciplined software engineers. Battle-tested on a 4-agent team shipping production software.

Skills

Skill What It Enforces
craftwork:test-driven-development No production code without a failing test first
craftwork:systematic-debugging No fixes without root cause investigation
craftwork:verification-before-completion No "done" claims without fresh evidence
craftwork:brainstorming No code without exploring approaches first
craftwork:writing-plans No implementation without exact file paths, code, and tests
craftwork:subagent-driven-development One subagent per task, structured review between each
craftwork:dispatching-parallel-agents Safe parallel execution for independent tasks
craftwork:requesting-code-review Structured diff review with security and spec checklist
craftwork:receiving-code-review Technical rigor over performative agreement

Install

clawhub install craftwork

Philosophy

Agents are fast but sloppy. They skip tests, guess at fixes, claim "done" without checking, and agree with every review comment. These skills add guardrails — not to slow agents down, but to make their speed count.

Every skill follows the same pattern: stop, verify, then act.

Source information

Source
github
Repository
openclaw/skills
Path
skills/gaurangbhattspaceo/craftwork
Version
1.0.0
Commit
ca219f8071e262d62bf34bc8add545b594c29033
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Craft — Engineering Discipline for AI Agents

9 skills that turn AI agents into disciplined software engineers. Battle-tested on a 4-agent team shipping production software.

## Skills

| Skill | What It Enforces |
|-------|-----------------|
| `craftwork:test-driven-development` | No production code without a failing test first |
| `craftwork:systematic-debugging` | No fixes without root cause investigation |
| `craftwork:verification-before-completion` | No "done" claims without fresh evidence |
| `craftwork:brainstorming` | No code without exploring approaches first |
| `craftwork:writing-plans` | No implementation without exact file paths, code, and tests |
| `craftwork:subagent-driven-development` | One subagent per task, structured review between each |
| `craftwork:dispatching-parallel-agents` | Safe parallel execution for independent tasks |
| `craftwork:requesting-code-review` | Structured diff review with security and spec checklist |
| `craftwork:receiving-code-review` | Technical rigor over performative agreement |

## Install

```bash
clawhub install craftwork
```

## Philosophy

Agents are fast but sloppy. They skip tests, guess at fixes, claim "done" without checking, and agree with every review comment. These skills add guardrails — not to slow agents down, but to make their speed count.

Every skill follows the same pattern: **stop, verify, then act.**

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