Explore MCP Servers & Agent Skills

io.github.github/awesome-copilot/react18-dep-compatibility

React 18.3.1 and React 19 dependency compatibility matrix.

io.github.github/awesome-copilot/react18-batching-patterns

Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.

io.github.github/awesome-copilot/react-audit-grep-patterns

Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade. Use this skill whenever running a migration audit - for both the react18-auditor and react19-auditor agents. Contains every grep pattern needed to find deprecated APIs, removed APIs, unsafe lifecycle methods, batching vulnerabilities, test file issues, dependency conflicts, and React 19 specific removals. Always use this skill when writing audit scan commands - do not rely on memory for grep syntax, especially for the multi-line async setState patterns which require context flags.

io.github.github/awesome-copilot/react18-legacy-context

Provides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consumers to be updated together. Use it before touching any contextTypes or childContextTypes code, because migrating only the provider without the consumers (or vice versa) will cause a runtime failure. Always read this skill before writing any context migration - the cross-file coordination steps here prevent the most common context migration bugs.

io.github.microsoft/typespec/python-sdk-spector-mock-api-tests

Writes TypeSpec http-client-python generator mock API tests (azure/unbranded/shared) from a Spector case. Use when given a Spector case link or a PR link that modifies Spector cases under http-specs/azure-http-specs.

io.github.UnicomAI/wanwu/frontend-dev

Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations.

io.github.github/awesome-copilot/python-pypi-package-builder

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.

io.github.quarkusio/quarkus/writing-build-steps

Patterns for creating and modifying Quarkus @BuildStep methods, build items, and recorders in extension deployment modules.

io.github.openai/plugins/netlify-deploy

Deploy projects to Netlify with the Netlify CLI. Use when the user wants to link a repo, validate deploy settings, run a deploy, or choose between preview and production flows.

io.github.Mybono/ai-orchestrator/kubernetes-operations

Kubernetes operations including manifests, Helm charts, operators, troubleshooting, and resource management

io.github.MemPalace/mempalace/init

Initialize a new MemPalace — guided setup for your AI memory palace with ChromaDB backend.

io.github.rcarmo/piclaw/mcp-adapter

Use the bundled pi-mcp-adapter to connect MCP servers through .pi/mcp.json.

io.github.alibaba/page-agent/git-cleanup

Clean up local git branches and remotes accumulated from PR reviews. Use when the user asks to clean branches, remove stale remotes, or tidy up the local git state.

io.github.ruvnet/ruflo/agentdb-advanced

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

io.github.millionco/expect/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.HKUDS/CLI-Anything/skills

Command-line interface for n8n workflow automation platform. Manages workflows, executions, credentials, variables, and tags. Based on n8n Public API v1.1.1 (n8n >= 1.0.0).

io.github.dotnet/core/review-release-notes

Review `features.json` scores and draft release notes against the editorial examples and the shared `editorial-scoring` rubric. Use it to identify over-scored, under-scored, or missing features before publishing release notes. DO NOT USE FOR: generating `changes.json` or writing the first draft.

io.github.openai/codex/codex-bug

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

io.github.TanStack/db/react-db

React bindings for TanStack DB. useLiveQuery hook with dependency arrays (8 overloads: query function, config object, pre-created collection, disabled state via returning undefined/null). useLiveSuspenseQuery for React Suspense with Error Boundaries (data always defined). useLiveInfiniteQuery for cursor-based pagination (pageSize, fetchNextPage, hasNextPage, isFetchingNextPage). usePacedMutations for debounced React state updates. Return shape: data, state, collection, status, isLoading, isReady, isError. Import from @tanstack/react-db (re-exports all of @tanstack/db).

io.github.mergisi/awesome-openclaw-agents/sql-explainer

Paste a SQL query and get a plain English explanation of what it does.

io.github.timescale/pg-aiguide/design-postgres-tables

Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.

io.github.timescale/pg-aiguide/design-postgis-tables

Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications

io.github.bonny/WordPress-Simple-History/sql

Runs SQL queries against the WordPress development database. Use when inspecting tables, checking event data, or debugging database issues.

io.github.streamlit/streamlit/improving-python-coverage

Runs Python unit tests with coverage, analyzes coverage reports, and implements meaningful tests to increase coverage by ~0.2%. Use when you want to systematically improve Python test coverage with high-value test cases.