LabscoMCP early access ↗

Agent Skills

Instruction packs for your AI agent — browse standalone skills, tool add-ons and skills that need setup first.

✦ Standalone skills2,358

Listed for general use, with no separate prerequisite named.

🧰 Tool add-ons426

Listed as skills bundled with a specific tool, with no separate prerequisite named.

🔌 Needs setup first88

Each relies on something you set up separately — such as an app, a command-line tool or an account — and its page names what that is.

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google-labs-code · Development

1,004 standalone skills
github avatar

next-intl-add-language

✓★ 36,202

by github

Add new language to a Next.js + next-intl application

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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noob-mode

✓★ 36,202

by github

Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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nuget-manager

✓★ 36,202

by github

Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versions. It enforces using `dotnet` CLI for package management and provides strict procedures for direct file edits only when updating versions.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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onboard-context-matic

✓★ 36,202

by github

Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
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oo-component-documentation

✓★ 36,202

by github

Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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openapi-to-application-code

✓★ 36,202

by github

Generate a complete, production-ready application from an OpenAPI specification

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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phoenix-cli

✓★ 36,202

by github

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeSetup details
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phoenix-evals

✓★ 36,202

by github

Build and run evaluators for AI/LLM applications using Phoenix.

AI impact score: 2 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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phoenix-tracing

✓★ 36,202

by github

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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php-mcp-server-generator

✓★ 36,202

by github

Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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playwright-automation-fill-in-form

✓★ 36,202

by github

Automate filling in a form using Playwright MCP

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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playwright-explore-website

✓★ 36,202

by github

Website exploration for testing using Playwright MCP

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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playwright-generate-test

✓★ 36,202

by github

Generate a Playwright test based on a scenario using Playwright MCP

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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power-apps-code-app-scaffold

✓★ 36,202

by github

Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
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power-bi-dax-optimization

✓★ 36,202

by github

Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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power-platform-architect

✓★ 36,202

by github

Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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power-platform-mcp-connector-suite

✓★ 36,202

by github

Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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premium-frontend-ui

✓★ 36,202

by github

A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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project-workflow-analysis-blueprint-generator

✓★ 36,202

by github

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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pytest-coverage

✓★ 36,202

by github

Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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python-mcp-server-generator

✓★ 36,202

by github

Generate a complete MCP server project in Python with tools, resources, and proper configuration

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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python-pypi-package-builder

✓★ 36,202

by github

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.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
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quality-playbook

✓★ 36,202

by github

Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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quasi-coder

✓★ 36,202

by github

Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or semi-technical descriptions into production-quality code.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react-audit-grep-patterns

✓★ 36,202

by github

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.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react18-batching-patterns

✓★ 36,202

by github

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.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react18-dep-compatibility

✓★ 36,202

by github

React 18.3.1 and React 19 dependency compatibility matrix.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react18-enzyme-to-rtl

✓★ 36,202

by github

Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react18-legacy-context

✓★ 36,202

by github

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.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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react18-lifecycle-patterns

✓★ 36,202

by github

Provides exact before/after migration patterns for the three unsafe class component lifecycle methods - componentWillMount, componentWillReceiveProps, and componentWillUpdate - targeting React 18.3.1. Use this skill whenever a class component needs its lifecycle methods migrated, when deciding between getDerivedStateFromProps vs componentDidUpdate, when adding getSnapshotBeforeUpdate, or when fixing React 18 UNSAFE_ lifecycle warnings. Always use this skill before writing any lifecycle migration code - do not guess the pattern from memory, the decision trees here prevent the most common migration mistakes.

AI impact score: 3 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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