12 Official AI Skills & Trusted Tools | AI Agent Skills

expo

Set up Tailwind CSS v4 in Expo with react-native-css and NativeWind v5 for universal styling

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Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.

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Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (useLoaderData).

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Guidelines for creating API routes in Expo Router with EAS Hosting

expo

`@expo/ui/jetpack-compose` package lets you use Jetpack Compose Views and modifiers in your app.

expo

`@expo/ui/swift-ui` package lets you use SwiftUI Views and modifiers in your app.

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Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs.

expo

Build and distribute Expo development clients locally or via TestFlight

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REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

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C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

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Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

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Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

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Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.

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Translate visa application documents (images) to English and create a bilingual PDF with original and translation

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Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

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Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

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Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.

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Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.

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iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.

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Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.

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Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.

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Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.

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Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.

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A comprehensive verification system for Claude Code sessions.

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Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.

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Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

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Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

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PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

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Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

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SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.

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Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

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Continuous-learning is a skill that automatically evaluates Claude Code sessions to extract reusable patterns and saves them as learned skills for future use.

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agent-harness-construction is a developer skill for designing and optimizing AI agent action spaces, tool definitions, and observation formatting. It focuses on core constraints like action space quality and recovery quality to achieve higher completion rates for agents like Claude.

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nanoclaw-repl is a zero-dependency, session-aware REPL built on Claude for operating and extending the NanoClaw v2 AI agent. It features persistent markdown-backed sessions, dynamic skill loading, session branching, history compaction, and export capabilities to MD, JSON, and TXT formats.

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agentic-engineering is an AI agent skill for engineering workflows that uses an eval-first execution loop, decomposes work into agent-sized units, and routes model tiers by task complexity to enforce quality and risk controls.

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ai-first-engineering is an operating model for development teams where AI agents generate a significant portion of code implementation. It focuses on process design, review methodologies, and architecture requirements specifically optimized for AI-assisted development workflows with tools like Claude Code.

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Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

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docker-patterns is a skill that automates Docker containerization for AI coding workflows, enhancing productivity for developers.

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django-tdd is a skill that provides Django testing strategies with pytest-django, TDD methodology, and testing tools for Django REST Framework APIs.

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continuous-learning-v2 is a cutting-edge AI agent skill that enables instinct-based learning, creating atomic instincts with confidence scoring for efficient coding.

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database-migrations is a skill that provides best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across multiple databases and ORMs.

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agent-eval is a CLI tool for head-to-head comparison of coding agents on reproducible tasks, providing systematized evaluation and data-backed insights.

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android-clean-architecture is a skill that implements Clean Architecture patterns for Android and Kotlin Multiplatform projects, covering module structure, dependency rules, and data layer design.

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architecture-decision-records is a skill that captures and records architectural decisions made during coding sessions, providing a transparent and structured approach to decision-making.

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Blueprint is a construction plan generator that creates step-by-step workflows for coding tasks, utilizing AI to automate the planning process.

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bun-runtime is a fast all-in-one JavaScript runtime and toolkit that includes a runtime, package manager, bundler, and test runner, designed to simplify and accelerate development workflows.

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crosspost is a skill that distributes content across multiple social platforms, adapting it for each platform's native conventions and limitations.

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data-scraper-agent is a production-ready AI-powered data collection agent for scraping, enriching, and storing public data from various sources, including job boards, prices, news, and GitHub.

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deep-research is a skill that utilizes firecrawl and exa MCPs to synthesize findings from multiple sources, delivering comprehensive reports with source attribution.

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fal-ai-media is a unified media generation skill, creating images, videos, and audio using fal.ai models and MCP.

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flutter-dart-code-review is a library-agnostic Flutter/Dart code review checklist, covering widget best practices, state management patterns, and performance optimization.

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prompt-optimizer is a specialized AI agent skill that optimizes draft prompts for Claude Code, ensuring efficient and effective coding workflows.

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Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.

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Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

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kotlin-testing is a skill that provides comprehensive Kotlin testing patterns for writing reliable, maintainable tests following TDD methodology.

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Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.

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Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

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Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.

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Video-editing is a skill that utilizes AI-assisted workflows to edit, cut, and structure real footage, enhancing video content creation.

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videodb is a media analysis AI agent skill that enables ingestion, transcription, and editing of video and audio content

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agent-payment-x402 is a skill that enables AI agents to make autonomous payments using the x402 protocol and MCP tools, providing per-task budgets, spending controls, and non-custodial wallets.

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git-workflow is a skill that enables efficient Git version control and collaborative development through branching strategies, commit conventions, and conflict resolution.

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Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.

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Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.

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customs-trade-compliance is a specialized AI agent skill that automates customs operations, including tariff classification, duty calculations, and trade compliance.

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tdd-workflow is a skill that automates test-driven development, ensuring thorough test coverage and streamlined testing processes for developers.

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Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.

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Benchmark is a performance measurement tool that helps developers detect regressions, measure performance baselines, and compare stack alternatives for optimal code performance.

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Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.

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Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

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perl-patterns is a skill that provides modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable applications.

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token-budget-advisor is a skill that enables users to choose response depth and detail before receiving an answer from Claude, streamlining the development process.

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quality-nonconformance is a specialized AI agent skill for managing non-conformances in regulated manufacturing environments.

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Interactive agent picker for composing and dispatching parallel teams

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backend-patterns is a skill that provides Node.js developers with optimized backend architecture patterns, API design, and database optimization techniques.

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Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.

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Use this skill to validate the why before building, run product diagnostics, and convert vague ideas into specs.

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Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.

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Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines

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logistics-exception-management is a specialized AI agent skill for managing freight shipment exceptions, including delays, damages, and disputes.

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skill-stocktake is a code quality audit AI agent skill that evaluates and enhances Claude skills and commands using AI holistic judgment.

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strategic-compact is a Claude Code AI agent skill that enables manual control over context compaction, optimizing workflow efficiency and context preservation.

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laravel-verification is a comprehensive AI agent skill for verifying Laravel project integrity and readiness for deployment.

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perl-testing is a skill that provides comprehensive testing patterns for Perl applications using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.

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Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

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laravel-security is a skill providing comprehensive security guidance for Laravel applications to protect against common vulnerabilities.

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Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.

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ai-regression-testing is a skill that enables automated testing strategies for AI-assisted development, leveraging sandbox-mode API testing and automated bug-check workflows.

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x-api is a Twitter API integration skill for posting, reading, searching, and analytics, utilizing OAuth auth patterns and rate limits for seamless interactions.

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Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.

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PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

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Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

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project-guidelines-example is a Claude Code AI agent skill designed to provide a structured approach to project development, enhancing productivity and efficiency for developers.

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e2e-testing is a skill that utilizes Playwright for end-to-end testing, ensuring stable and maintainable test suites.

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frontend-slides is a presentation automation skill that utilizes AI agents to streamline slide creation and editing.

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exa-search is a powerful AI agent skill designed for advanced querying and searching within Claude Code workflows.

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kotlin-exposed-patterns is a skill that provides comprehensive database access patterns using JetBrains Exposed ORM.

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anthropics

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists work to avoid copyright violations.

anthropics

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of Word doc, word document, .docx, or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a report, memo, letter, template, or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

anthropics

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

anthropics

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

anthropics

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \the xlsx in my downloads\) — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

anthropics

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

anthropics

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

anthropics

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

anthropics

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \deck,\ \slides,\ \presentation,\ or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

anthropics

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like make me a GIF of X doing Y for Slack.

anthropics

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

anthropics

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists work to avoid copyright violations.

anthropics

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

anthropics

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

anthropics

Applies Anthropics official brand colors and typography to any sort of artifact that may benefit from having Anthropics look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

anthropics

skill-creator is a technical skill for creating, improving, and optimizing AI agent skills, utilizing claude-with-access-to-the-skill for testing and evaluation.

anthropics

claude-api is a skill that allows developers to build LLM-powered applications using the Claude API or Anthropic SDK.

obra

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

obra

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

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Use when implementing any feature or bugfix, before writing implementation code

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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

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subagent-driven-development is a technique that leverages fresh subagents for independent tasks, ensuring spec compliance and code quality through a two-stage review process.

obra

using-superpowers is a mandatory AI agent skill that ensures developers invoke relevant skills before taking any action, optimizing workflow automation with Claude Code.

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

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executing-plans is a specialized AI agent skill for automating task execution based on predefined plans, enhancing development productivity and accuracy.

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writing-skills is a technique for applying test-driven development to process documentation, helping developers create effective skills for AI agents.

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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

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writing-plans is a skill that generates comprehensive implementation plans for multi-step tasks, assuming zero context and questionable taste, to help developers work efficiently.

obra

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

huggingface

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

huggingface

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

huggingface

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.

huggingface

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

huggingface

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

huggingface

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

huggingface

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

huggingface

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

huggingface

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

huggingface

transformers-js is a JavaScript library for running machine learning models, supporting NLP, computer vision, and audio tasks with pre-trained models from Hugging Face Hub.

huggingface

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens

huggingface

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward mod

huggingface

huggingface-paper-publisher is a skill that enables AI researchers to publish and manage research papers on Hugging Face Hub, supporting paper creation, model/dataset linking, and authorship management.

huggingface

Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.

huggingface

huggingface-papers is a skill that enables users to access and summarize AI research papers from Hugging Face and arXiv.

huggingface

huggingface-trackio is a Python library for logging and visualizing ML training metrics, supporting real-time dashboard visualization and alerts.

huggingface

huggingface-community-evals is a skill for running local evaluations of Hugging Face models using inspect-ai and lighteval.

huggingface

huggingface-gradio is a Python library for building interactive web UIs and ML demos, allowing developers to create custom Gradio apps and chatbots with ease.

huggingface

huggingface-datasets is a skill for executing Hugging Face Dataset Viewer API workflows, enabling dataset exploration and extraction capabilities.

huggingface

hf-cli is a command-line tool for interacting with the Hugging Face Hub, providing a seamless way to manage models, datasets, and Spaces.

google-labs-code

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

google-labs-code

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

google-labs-code

Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.

google-labs-code

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays

google-labs-code

stitch-loop is an AI agent skill that implements an autonomous iterative build pattern for website creation. It uses a baton file (`.stitch/next-prompt.md`) to pass tasks between iterations, generating pages with Stitch MCP tools and integrating them into the site structure.

google-labs-code

react:components is a skill that leverages system-level networking and AST-based validation to generate modular Vite and React components from Stitch designs.

google-labs-code

taste-design is a Semantic Design System Skill for Google Stitch that generates agent-friendly DESIGN.md files with strict typography, calibrated color, and asymmetric layouts.

google-labs-code

stitch-design is a unified entry point for Stitch design work, handling prompt enhancement, design system synthesis, and high-fidelity screen generation/editing.

cloudflare

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.

cloudflare

Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

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cloudflare

Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare

Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare

building-ai-agent-on-cloudflare is a Cloudflare Agents skill that allows developers to build stateful, persistent AI services with real-time interactions and WebSocket-based communication.

langgenius

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 `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

langgenius

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

langgenius

Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, o

langgenius

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

langgenius

frontend-query-mutation is a Dify frontend skill for implementing contract-first query and mutation patterns with TanStack Query and oRPC.

getsentry

Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.

getsentry

Security code review for vulnerabilities. Use when asked to security review, find vulnerabilities, check for security issues, audit security, OWASP review, or review code for injection, XSS, authentication, authorization, cryptography issues. Provides systematic review with confidence-based reporting.

getsentry

Warden skill: evaluates first-pass findings and proposes deterministic lint rules that could permanently catch the same patterns. Requires Wardens multi-pass pipeline (phase 2).

getsentry

Alias for sentry-skills:pr-writer. Use when users explicitly ask for create-pr or reference the legacy skill name. Redirects to the canonical PR writing workflow.

getsentry

Django performance code review. Use when asked to review Django performance, find N+1 queries, optimize Django, check queryset performance, database performance, Django ORM issues, or audit Django code for performance problems.

getsentry

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to simplify code, clean up code, refactor for clarity, improve readability, or review recently modified code for elegance. Focuses on project-specific best practices.

getsentry

Take a list of projects and their related documentation, and organize them into the SRED format for submission.

getsentry

Write copy following Sentry brand guidelines. Use when writing UI text, error messages, empty states, onboarding flows, 404 pages, documentation, marketing copy, or any user-facing content. Covers both Plain Speech (default) and Sentry Voice tones.

getsentry

Alias for sentry-skills:skill-writer. Use when users explicitly ask for skill-creator or reference the legacy skill name. Redirects to the canonical skill authoring workflow.

getsentry

Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.

getsentry

Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

getsentry

Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: IDOR, access control, authorization, Django permissions, object permissions, tenant isolation, broken access.

getsentry

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

getsentry

Write, review, and improve blog posts for the Sentry engineering blog following Sentrys specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions blog post, blog draft, write-up, announcement post, engineering post, deep dive, postmortem, or asks for help with technical writing for Sentry. Even if the user just says help me write about [feature/topic] — if it sounds like it could become a Sentry blog post, use this skill.

getsentry

GitHub Actions security review for workflow exploitation vulnerabilities. Use when asked to review GitHub Actions, audit workflows, check CI security, GHA security, workflow security review, or review .github/workflows/ for pwn requests, expression injection, credential theft, and supply chain attacks. Exploitation-focused with concrete PoC scenarios.

getsentry

ALWAYS use this skill when creating or updating pull requests — never create or edit a PR directly without it. Follows Sentry conventions for PR titles, descriptions, and issue references. Trigger on any create PR, open PR, submit PR, make PR, update PR title, update PR description, edit PR, push and create PR, prepare changes for review task, or request for a PR writer.

getsentry

skill-scanner is a security analysis tool for AI agent skills, identifying potential threats and vulnerabilities to ensure secure skill adoption.

getsentry

This skill should be used when the user asks to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

getsentry

ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.

getsentry

presentation-creator is a skill that creates interactive, data-driven presentation slides using React, Vite, and Recharts, with a focus on Sentry design and single-file HTML output.

getsentry

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to create a skill, write a skill, synthesize sources into a skill, improve a skill fro

getsentry

Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.

getsentry

Create a git branch following Sentry naming conventions. Use when asked to create a branch, new branch, start a branch, make a branch, switch to a new branch, or when starting new work on the default

getsentry

gh-review-requests is a GitHub review request fetcher skill for AI agents, helping teams and developers stay on top of their PR reviews.

vercel-labs

find-skills is a skill that helps users discover and install agent skills, enabling them to extend their AI coding capabilities.

n8n-io

Fetch and display the full transcript from a Loom video URL. Use when the user wants to get or read a Loom transcript.

n8n-io

Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.

n8n-io

Used to download images/attachments. Typically pre-installed.

n8n-io

Quick reference for n8n patterns. Full docs /AGENTS.md

n8n-io

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n8n-io

create-skill is a customizable AI agent skill for automating specific workflows, utilizing markdown and scripts to enhance development efficiency.

n8n-io

Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to creat

n8n-io

create-issue is a GitHub issue creation skill that automates ticketing for developers and teams, using AI-powered workflow automation.

n8n-io

node-add-oauth is a skill that automates OAuth2 credential setup for n8n nodes, enabling seamless integration with third-party services.

n8n-io

spec-driven-development is a methodology that ensures implementation and specs remain in sync, facilitating efficient development and reducing errors.