pattern-detection
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
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350 skills found
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Ensures project modularity by leveraging existing dependencies instead of reinventing functionality.
Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Scaffold and generate new GitHub Copilot Agent Skills. Provides templates, directory structures, and instructions to build specialized AI capabilities with bundled resources.
Analyzes OpenAPI specifications to generate TypeScript interfaces, API service patterns, and implementation guidance for backend-integrated frontend development.
Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
Expert guidance for Shopify app development, including CLI setup, Remix framework architecture, OAuth flows, app extensions, and production deployment on platforms like Cloudflare Workers.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.