Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A structured workflow for development tasks that need repeatability and clear outputs. Defines success criteria, executes in checkpoints, and applies quality gates before returning actionable plans. Turns vague goals into ranked findings and concrete next steps with explicit tradeoffs and fallbacks.
Forces explicit assumptions, tradeoffs, and fallbacks into every plan, reducing the revision cycles that open-ended requests typically require.
When to use it
- Diagnosing a flaky test that fails intermittently in CI
- Turning rough notes into a prioritized action plan before a deadline
- Planning a risky database migration with explicit fallbacks
- Generating an acceptance checklist before merging a pull request
- Structuring an incident postmortem with evidence-backed findings
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: "Use this skill to help me reduce flaky tests in our CI pipeline — I have logs and a deadline of Friday."
- 1Defines success criteria: zero flaky failures on main branch by Friday
- 2Identifies smallest-valid path: isolate one failing test suite first
- 3Executes in checkpoints: analyzes logs and records evidence at each step
- 4Applies quality gates: confirms findings are evidence-backed with explicit tradeoffs listed
- 5Returns ranked findings, a today/this-week action plan, and exact commands
Situation summary, top flakiness causes ranked by impact, action plan with owner and ETA, risks with mitigations, and a reproducible isolation checklist