refactor-slice
Skill18 starsChanged 2 months agoMITView on GitHub
Use to refactor one bounded area for better architecture: extract responsibilities, respect layers, simplify with identical behavior.
In this repository18 other files it gives its agents.
- autopilot-retroSkill
- autopilotSkill
- ci-doctorSkill
- dead-code-sweepSkill
- dedupe-factorSkill
- deps-patrolSkill
- docs-driftSkill
- ds-migrateSkill
- flaky-huntSkill
- harvest-reviewsSkill
- pattern-alignSkill
- perf-fixSkill
- primitives-alignSkill
- security-fixSkill
- test-gap-fillSkill
- todo-reaperSkill
- todoSkill
- ui-reviewSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 6
Read .quota-burner/CONTRACT.md and the configured team context before targeting.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Read .quota-burner/CONTRACT.md and the configured team context before targeting. Standalone invocation follows repository permissions and does not authorize a PR by itself.
Refactor ONE bounded area so it better matches your house architecture, with identical behavior.
Targeting: pick the area that most violates the architecture rules in your guidelines files; if you have an audit or review skill, use its rubric as the selection lens (never execute a full audit).
Done: tests green, no behavior change, the area reads simpler than before.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

