- name
- craftwork
- description
- 9 engineering disciplines for AI agents — TDD, debugging, code review, planning, and multi-agent coordination. Build software like it matters.
- version
- 1.0.0
- metadata
- openclaw
- emoji
- 🔨
- homepage
- https://github.com/gaurangbhatt/craft
- os
- always
- false
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 craftworkPhilosophy
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.