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Found 1,272 Skills
Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.
This skill should be used when the user wants to write, review, or refactor TypeScript code to follow industry best practices. Common triggers include "follow ts best practices", "review this typescript", "fix the typescript style", "make this idiomatic typescript", "apply typescript conventions", and "audit this ts file". Bakes in branded types, discriminated unions, ts-pattern for multi-branch logic, JSDoc on exports, kebab-case file naming, and *Params/*Options object-arg conventions. Skip when the user wants pure functional refactors (use ts-best-practices-functional) or is writing framework components (React/Vue/Svelte have different conventions).
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
Relentlessly critiques code against classic software engineering principles (SOLID, separation of concerns) to prevent "clever process shenanigans" and spaghetti code. Use before finalizing a feature or opening a PR.
Performance and scalability analysis specialist. Identifies algorithmic inefficiencies, N+1 queries, memory leaks, and concurrency issues. Use when reviewing loops, database queries, file I/O, or high-concurrency code.
Discourse 패턴으로 다관점 리뷰를 수행한다. Tech Spec 리뷰와 에픽 통합 코드 리뷰를 모두 처리하며, 쟁점 해소 프로토콜에 따라 합의/미합의를 분리한다.
Enforce consistent React component naming conventions using domain + role patterns. Use when creating, reviewing, or refactoring components.
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
Triage and orchestrate code reviews. Analyzes PR intent, identifies touched surfaces, assesses risk, and routes to specialist skills. Does NOT perform detailed review - delegates to specialists. Supports full pipeline with "Review PR <number>" command.
[Review & Quality] Review all uncommitted changes before commit
Routes human attention to decisions that matter in agent-generated code. Active during planning, implementing, fixing. Defines when and how to place DECISION markers in code comments. Also applies when reviewing a diff/PR on request.
Use when working with performance testing review multi agent review