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Found 9,575 Skills
Creating and developing startup hooks for Claude Code. Use when the user wants to set up a repository for Claude Code, create a SessionStart hook to ensure their project can run tests and linters during sessions (CLI, web, or API).
Validates SKILL.md files against Claude Code skill best practices. Checks conciseness, description quality, progressive disclosure, workflow structure, and common anti-patterns. Use when reviewing or auditing skills before shipping.
Independence-validated parallel fleet that runs each worker (claude -p or codex exec) in its own git worktree. Use when tasks touch non-overlapping files and you need merge-safe isolation (each worker on its own branch). For DAG-ordered one-shot workers with budgets, use dag-fleet. For headless iteration with a reviewer loop, use iterative-fleet.
This skill should be used when a developer wants to capture learnings from a difficult session, record what Claude got wrong, save implementation gotchas, or update the steering docs with hard-won knowledge — for example "let's reflect", "capture what we learned", "that was painful, save this", "update the steering docs with what went wrong", "I need to debrief", "what went wrong today", "log this lesson", "save this gotcha", "document this mistake", "I want to write this down before I forget", "add this to the steering docs", or when prompted by the intervention tracker after multiple corrections. Routes each learning into the right steering doc (TECH, QA, DESIGN, or VISION) under a "Hard-Won Lessons" section.
End-to-end Claude Design handoff to pull request: imports a handoff bundle from claude.ai/design, generates Storybook stories and Playwright tests, runs diff-aware browser verification, and opens a PR with the bundle URL, before/after screenshots, and coverage delta embedded in the body. The one-shot 'design URL in, reviewable PR out' workflow. Use when a designer or PM hands you a Claude Design URL and you want a PR back without intermediate steps.
Discover session files for a repo across Claude Code, Codex, and Cursor, and extract session metadata (timestamps, branch, cwd, size, platform). Invoked by session-research agents — not intended for direct user queries.
Generate and install a custom Claude Code status line with selectable columns (model, context, effort level, git, dir, worktree, vim) and a color theme. Context and effort elements color-change based on level. Triggers on "status line", "statusline", "customize status", "status bar", "effort level display", "状态栏", "ステータスライン", or similar.
Diagnose and fix MCP server connection issues between Claude Code, Claude Desktop, and MCP servers. Covers Windows argument parsing, authentication failures, transport issues, and platform-specific debugging. Use when Claude Code or Claude Desktop fails to connect to an MCP server, when MCP tools don't appear in sessions, on "cannot attach the server" errors, when a working connection has stopped, or when setting up MCP on a new machine.
Generate a /goal mega prompt for Claude Code or Codex CLI by interviewing the user about their task. Use when the user wants to define a long-horizon autonomous goal — migration, refactor, feature build, optimization loop, test fixing, research project, learning system, or any task where the agent should run end-to-end without hand-holding. Trigger on: "help me write a goal", "I want Claude to keep working until...", "run this autonomously", "set a /goal", or any request that implies sustained agentic execution toward a non-trivial outcome. The skill conducts a structured interview (one question at a time) to extract outcome, context, success criteria, constraints, and quality bar — then outputs a filled-in mega prompt ready to paste into Claude Code or Codex.
AI-assisted TradingView chart analysis and automation via Chrome DevTools Protocol for Claude Code
Claude Code skills for analytics and data engineers working with dbt, Snowflake, and data pipelines
Best Practice Advisor for AGENTS.md / CLAUDE.md. It is used when users ask about the format, structure, and best practices of agents markdown, AGENTS.md, CLAUDE.md, Claude Code memory, and AI coding agent instruction files; it also supports reviewing, diagnosing, rewriting, optimizing, or creating agent instruction files such as AGENTS.md, CLAUDE.md, CLAUDE.local.md, and .claude/rules from scratch. It is not suitable for general README writing unless the goal is to provide project context for AI coding agents.