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Found 62 Skills
Safely refactor code to improve structure, clarity, or testability without changing intended behavior. Use when the user says "refactor it", asks to clean up a module, extract helpers, reduce duplication, or prepare code for a feature — not for product behavior changes (use fix-it) or pure test adds (use test-it). Prefer small steps with tests green between steps.
Builds and stress-tests implementation plans in two modes. Create mode scans code and docs, asks one question at a time with a recommended answer, runs a blindspot pass when the user is new to the area, then writes a plan file. Review mode scores completeness, feasibility, scope, testability, risk, and assumptions, verifies checkable claims, and writes resolutions back until every dimension reaches 5/5. Use when asked to "create a plan", "plan this feature", "I want to build X", "grill me", "think this through", "blindspot pass", "unknown unknowns", "this is new to me", "review my plan", "rubber duck this", "stress test this plan", "is this plan ready", "get this plan to 5/5", "what am I missing", "verify this claim", "prove this plan", "fact-check this plan", "split this into tickets", "break this down into slices", "this is too big for one plan", or when the user explicitly wants a plan artifact before implementation. For code review use pr-reviewer; for architecture briefs use codebase-architecture.
HarmonyOS ArkUI MVVM architecture skill. Use for Model/ViewModel/View layering, directory planning, component responsibilities, data flow, and MVVM refactoring. Trigger for V1 or V2 state-management MVVM development, ViewModel extraction, state-ownership fixes, and testability improvements.
ALWAYS USE for test work that requires changes: write, add, generate, repair, or strengthen tests for existing code in xUnit, MSTest, NUnit, pytest, Vitest/Jest, Go, or another framework. Includes regression cases, failing or flaky tests, coverage-driven additions, and audit-then-fix requests. Focused work stays direct; broad or multi-stage work invokes test-engineer. DO NOT USE for only running tests, analysis-only audits, framework/platform migrations, a test blocked on a missing production seam (testability-obstacle), or MSTest API/configuration corrections that do not design new cases (writing-mstest-tests). Within an active test-engineer pipeline, reuse supplied guidance and do not re-enter this skill.
Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.
This skill should be used when the user asks to "implement dependency injection in Python", "use the dependency-injector library", "decouple Python components", "write testable Python services", or needs guidance on Inversion of Control, DI containers, provider types, and wiring in Python applications.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Identify codebase deepening opportunities based on the domain language in CONTEXT.md and decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Shared vocabulary for designing deep modules. Suitable for users who want to design or improve module interfaces, identify deepening opportunities, decide where to place seams, make code easier to test or more navigable for AI, or when other skills require vocabulary for deep modules.
Design shared vocabulary for deep modules. Use this when you want to design or improve a module's interface, identify opportunities for deepening, decide where to place seams, make code more testable or navigable by AI, or when other skills require vocabulary for deep modules.