Install Claude Code Skills: Setup to PRs

Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.

by mksglu/context-mode

• Verification
• Git & PRs

Ensures work happens in an isolated workspace using native worktree tools or git worktree fallback, with detection and safety checks. Directly supports the Git & PRs facet.

by obra/superpowers

• Git & PRs

Verifies tests, detects environment, presents merge/PR/keep options, and cleans up when finishing a development branch. Directly supports the Git & PRs facet.

by obra/superpowers

• Git & PRs

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

by obra/superpowers

• Debugging
• Git & PRs

Executes implementation plans by dispatching a fresh subagent per task with task review and a final whole-branch review. Directly supports agentic implementation workflows.

by obra/superpowers

Loads a written implementation plan, reviews it critically, executes tasks with verification checkpoints, and reports completion. Directly supports plan execution in agentic coding.

by obra/superpowers

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

by obra/superpowers

• Git & PRs

Reviews Spec Kit code changes for positive and negative test coverage, regression evidence for bug fixes, and consistent repository terminology. Use when reviewing a diff or pull request. Do not use for implementing changes or posting GitHub review actions.

by github/spec-kit

• Git & PRs

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

by openai/skills

Restructures code while preserving behavior, defining a behavior-preservation boundary and establishing verification before structural edits.

by juliusbrussee/caveman

Optimizes agent context setup, covering rules files, specs, source files, and error output for better agent output quality. Supports agent workflow configuration.

by addyosmani/agent-skills

• Project setup
• Verification
• Git & PRs

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

by obra/superpowers

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.

by anthropics/skills

Comprehensive guidance for Playwright test development, covering E2E, component, API, visual, and accessibility testing, plus debugging flaky tests.

by currents-dev/playwright-best-practices-skill

• Skills & hooks

Tests in real browsers via Chrome DevTools MCP, covering DOM inspection, console errors, network requests, and performance profiling.

by addyosmani/agent-skills

• Debugging
• Skills & hooks

Needs (stated): MCP server

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.

by obra/superpowers

• Implementation

|- Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

by anthropics/skills

• Implementation

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), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).

by microsoft/skills

• Skills & hooks

Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.

by openai/skills

Scaffolds per-repo configuration for engineering skills, setting up issue tracker, triage labels, and domain doc layout. Supports project setup for agent workflows.

by mattpocock/skills

• Project setup
• Implementation

Inspects local AI-agent activity across Claude Code, Codex, Cursor, and others, covering sessions, tokens, cost, and health checks.

by jane-o-o-o-o/agent-pulse-skill

> Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

by anthropics/skills

Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

by openai/skills

Wires dependency-cruiser into a TypeScript repo so each package is a deep module with hidden implementation. Supports project structure setup.

by mattpocock/skills

• Verification

Browser automation CLI for AI agents, covering navigation, extraction, screenshots, form filling, and session management. Useful for browser-based verification tasks.

by browser-act/skills

Needs (stated): Python

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

by multica-ai/andrej-karpathy-skills