What problem does it solve?
Authoring AI agent skills often produces bloated prompt files that mix responsibilities, duplicate rules, and lack verifiable completion criteria. This Skill provides a structured protocol for creating, refactoring, simplifying, and reviewing cs-* skills so each one stays a minimal control surface backed by on-demand context and testable evidence gates.
Core Features & Use Cases
- Shape Selection: Classifies each skill into a typed shape (ThinOperator, ContextualWorkflow, ToolBackedWorkflow, ShimSkill, ReferenceSkill, or NoActiveSkill) using Haskell-style decision contracts before any writing begins.
- Rule Placement: Routes every rule to exactly one canonical home (harness, stage context, project context, deterministic gate, or removal) to eliminate duplication and additive-only bloat.
- Quality Gates & Fixtures: Ships reference standards for review algorithms, regression ladders, runtime conformance testing, and risky routing/checkpoint fixture patterns.
- Use Case: When a new cs-* skill is needed or an existing one has grown unwieldy, invoke this Skill to reclassify its shape, relocate misplaced rules, build a context plan, and produce validation evidence.
Quick Start
Use the build-cs-skill to refactor the cs-feat skill under plugins/codestable/skills into a thin harness with an explicit context plan and evidence gates.