Agent Skills

io.github.agents-inc/skills/web-animation-css-animations

CSS Animation patterns - transitions, keyframes, scroll-driven animations, @property, GPU-accelerated properties, accessibility with prefers-reduced-motion

io.github.nWave-ai/nWave/nw-database-technology-selection

Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

io.github.nWave-ai/nWave/nw-pbt-typescript

TypeScript/JavaScript property-based testing with fast-check framework and arbitraries

io.github.mindfold-ai/Trellis/python-design

Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.

io.github.TanStack/router/react-router

React bindings for TanStack Router: RouterProvider, useRouter, useRouterState, useMatch, useMatches, useLocation, useSearch, useParams, useNavigate, useLoaderData, useLoaderDeps, useRouteContext, useBlocker, useCanGoBack, Link, Navigate, Outlet, CatchBoundary, ErrorComponent. React-specific patterns for hooks, providers, SSR hydration, and createLink with forwardRef.

io.github.polarsource/polar/vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

io.github.sickn33/antigravity-awesome-skills/sqlmap-database-pentesting

Provide systematic methodologies for automated SQL injection detection and exploitation using SQLMap.

io.github.code-yeongyu/oh-my-openagent/github-triage

Read-only GitHub triage for issues AND PRs. 1 item = 1 background task (category: quick). Analyzes all open items and writes evidence-backed reports to /tmp/{datetime}/. Every claim requires a GitHub permalink as proof. NEVER takes any action on GitHub - no comments, no merges, no closes, no labels. Reports only. Triggers: 'triage', 'triage issues', 'triage PRs', 'github triage'.

io.github.OpenCoworkAI/open-cowork/pdf

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

io.github.iOfficeAI/AionUi/testing

Testing workflow and quality standards for writing and running tests. Use when: (1) Writing new tests, (2) Adding a new feature that needs tests, (3) Modifying logic that has existing tests, (4) Before claiming a task is complete.

io.github.meshery/meshery/api-doc

Document REST API endpoints and GraphQL operations in the Meshery server.

io.github.math-inc/OpenGauss/writing-plans

Use when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.

io.github.math-inc/OpenGauss/mcporter

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

io.github.langflow-ai/langflow/component-refactoring

Refactor high-complexity React components in Langflow frontend. Use when manual complexity assessment shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.

io.github.langflow-ai/langflow/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `src/backend/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

io.github.langflow-ai/langflow/frontend-code-review

Review frontend code (.tsx, .ts, .js files) for quality, performance, and correctness against Langflow's frontend conventions. Supports pending-change reviews and file-targeted reviews.

io.github.langflow-ai/langflow/frontend-query-mutation

Guide for implementing Langflow frontend query and mutation patterns with Axios and TanStack React Query v5. Trigger when creating or updating API hooks in controllers/API/queries, consuming UseRequestProcessor in components, deciding whether to use useQuery or useMutation, handling conditional queries, cache invalidation, mutation error handling, or migrating legacy API calls to the query hook pattern.

io.github.vladkesler/initrunner/kubernetes

Diagnose and fix Kubernetes pods, services, networking, storage, and rollout failures with kubectl. Safety-first, read-only by default.

io.github.gsd-build/gsd-2/react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

io.github.microsoft/agent-framework/python-samples

Guidelines for creating and modifying sample code in the Agent Framework Python codebase. Use this when writing new samples or updating existing ones.

io.github.modelcontextprotocol/kotlin-sdk/mcp-docs

Fetch live MCP specification and docs from modelcontextprotocol.io. Training data may be outdated — default to using this skill when the query touches MCP protocol in any way. Trigger for: implementing or debugging MCP features (sampling, elicitation, completion, tools, resources, prompts, transports); SEPs or spec requirements; MCP transport behavior (SSE, Streamable HTTP, reconnection, retry); authorization/OAuth; conformance test failures; capability negotiation; message schemas. Skip only for pure Kotlin, build system, or refactoring tasks with zero MCP protocol dependency. When in doubt, trigger.

io.github.Galaxy-Dawn/claude-scholar/writing-anti-ai

This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.