Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Structures development tasks into checkpoint-based plans with quality gates and rollback options. Takes a desired outcome, constraints, and available artifacts, then returns a ranked action plan with explicit risks and next steps. Best suited for refactors or changes where reversibility and evidence matter.
Forces explicit tradeoffs and a fallback plan upfront, reducing unplanned rollbacks compared to informal planning.
When to use it
- Planning a database schema migration with rollback checkpoints
- Refactoring legacy auth code before a scheduled deploy
- Breaking messy notes into a risk-ordered implementation checklist
- Scoping a feature rewrite under time and tooling constraints
- Getting a fallback plan for a high-risk dependency upgrade
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Plan a refactor of our payment service before the end of the sprint
- 1Identifies measurable success and failure criteria for the refactor
- 2Maps the smallest valid execution path given sprint constraints
- 3Defines checkpoints with required evidence at each step
- 4Applies quality gates: reversible changes, explicit assumptions, clear ownership and ETA
- 5Returns a ranked action plan with risks, mitigations, and exact commands
A structured plan with today/this-week actions, ranked risks with mitigations, and a fallback if the primary approach fails