Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Spin up an isolated cloud sandbox — a full root Ubuntu VM with its own kernel (default 4 vCPU / 8 GB / 51 GB disk) — to run code, builds, installs, or shell commands off the user's machine. $0.036/h, billed per second, from a $20/mo plan; Docker and every major toolchain preinstalled. Use whenever work should not touch the host filesystem.
Conducts comprehensive code quality reviews including code smells detection, maintainability assessment, complexity analysis, design pattern evaluation, naming conventions, code duplication, technical debt identification, and best practices validation. Produces detailed review reports with specific issues, severity ratings, metrics analysis, and actionable improvement recommendations. Use when reviewing code quality, analyzing code maintainability, detecting code smells, checking coding standards, measuring code complexity, identifying technical debt, or when users mention "code quality review", "code quality check", "maintainability analysis", "code smells", "clean code", "refactoring candidates", or "technical debt assessment".
Generate a tailored code review checklist for any pull request based on the language, type of change, and risk level. Use when asked to review code, check a PR, review a pull request, or generate a code review checklist. Produces a focused checklist with language-specific checks, risk-level-appropriate depth, and a clear approve/request-changes recommendation.
Apply a disciplined engineering workflow to any code change. Use whenever implementing a feature, fixing a bug, or refactoring — before writing code, not after. Walks orient → baseline → smallest change → test → verify → self-review, and enforces language-agnostic hard gates (don't mass-reformat, keep the linter and type-checker clean, keep the build and tests green, make interface changes additive, protect security invariants).
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
CodeRabbit PR loop: audit findings, fix, wait for CI, merge. Pass `cli` to put `@coderabbitai ignore` in the PR description (disables the GitHub bot) and review with the CodeRabbit CLI instead. Use when: resolving CodeRabbit comments, merging a reviewed PR, or reviewing via CLI to skip the PR-side bot. Keywords: CodeRabbit, PR review, merge, CLI, @coderabbitai ignore, --bulk
Drive a GitHub pull request through ChatGPT Codex's online PR review to a clean merge: trigger a review, poll for the verdict (findings vs clean), fix each finding with local verification, and merge only after TWO consecutive clean reviews on the same commit. Use when iterating a PR against Codex review comments, or when asked to "run the Codex review loop", "handle Codex review findings", or "get this PR clean and merge it". Precondition: the repo has ChatGPT Codex's GitHub integration enabled (bot: chatgpt-codex-connector[bot]); also needs `gh` (authenticated) and `jq`.
Configure .claude/settings.json (permissions, marketplace enrollment, enabledPlugins) and GitHub Actions workflows to use the laurigates/claude-plugins marketplace. Use when onboarding a new project to Claude Code plugins, setting up claude.yml and claude-code-review.yml workflows, adding the laurigates/claude-plugins marketplace to a repo, or merging plugin permissions into existing settings. Natural triggers: "set up claude plugins", "add claude marketplace", "install claude.yml workflow".
Formats commit messages using the Conventional Commits specification. Use when creating commits, writing commit messages, or when the user mentions commits, git commits, or commit messages. Ensures commits follow the standard format for automated tooling, changelog generation, and semantic versioning.
Use when the user says "copilot review", "review with copilot", "delegate to copilot", "have copilot fix this", "copilot agent task", "set up copilot", "generate copilot instructions", "bootstrap copilot for this repo", or invokes `/copilot`. Three modes: `review` (run a code review on a PR and route fixes to Copilot via inline `@copilot fix this` comments), `delegate` (create a `gh agent-task`, poll until the coding agent opens a PR, optionally hand off to review), and `setup` (one-time bootstrap that writes `.github/copilot-instructions.md` and the per-role `.github/instructions/*.instructions.md` files). `review` and `delegate` are routine; `setup` is a one-time repo bootstrap loaded on demand from `references/setup.md` only when the user explicitly asks. Do NOT use for plain GitHub PR work — that is `/gh`'s job.
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for", "improve this copy", "rewrite this page", "marketing copy", "headline help", or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.
Queries dollar exchange rates in Argentina using DolarAPI. Use when the user asks for "dolar hoy", "dolar blue", "dolar oficial", "dolar bolsa", "MEP", "CCL", "dolar tarjeta", "dolar mayorista", "dolar cripto", or wants to compare buy/sell rates and rate updates. Also use when the user asks for euro, Brazilian real, Chilean peso or Uruguayan peso quotes with the /v1/cotizaciones endpoints.
Chooses the right FORMAT for instructions on Claude.ai — project instructions, a skill, or a standalone prompt — and gives the format-specific structure once chosen. Use when the question is which container an instruction belongs in ("should this be a skill or project instructions", "where do I put this", "how do I set up this project", "is this worth a skill"), or when someone has instructions and does not know how to package them. For the writing principles that apply inside any of the three formats, use writing-instructions. For building, testing and packaging a complete skill directory, use creating-skill.
Create a new tech blog post on 聆.tw (琳聽智者漫談), your AI-driven tech blog. Use when the user wants to write a new blog post, create an article, draft a tech article, or publish content on 聆.tw. Triggers on requests like "write a blog post", "create an article about X", "draft a post on 聆.tw", or "help me write about X for the blog". This skill handles the full workflow: repo setup, content creation, following strict editorial guidelines, build check, and submitting a pull request.
Extracts and converts BrowserMCP accessibility tree snapshots into clean, high-fidelity Markdown documents with correct structures (headings, lists, tables, blockquotes, code blocks, formatting, and links). Use when the user asks to create a Markdown document from a webpage; especially if they ask to do it with BrowserMCP.
Professional, skeptical communication style. Never over-enthusiastic, verifies before agreeing, challenges constructively, proposes instead of asking preferences. Expert peer who coaches, not serves. Triggers on: composing responses, agreeing with user, making recommendations, giving feedback.
Set up and operate customer workspaces: route customer updates, record meetings, track questions and actions, manage workstreams, and prepare handoffs. Use when creating or maintaining a customer workspace, processing meeting notes or updates, reviewing next actions, or preparing a handoff. Triggers: customer workspace, 顧客ワークスペース, inbox 追加, 議事録管理, 案件更新, 宿題管理, 引き継ぎ.
Channel Dan Koe's philosophy and advice style. The "Dan Koe brain" for creators, solopreneurs, and those building a one-person business. TRIGGERS: - When user wants advice on one-person business, creator economy, or solopreneurship - When user asks about content creation, writing, or building an audience - When user needs help with positioning, finding their niche, or personal branding - When user wants guidance on escaping the 9-5 or building freedom - When user asks about AI for creators - When user is struggling with multiple interests or feeling stuck - When user asks about focus, productivity, or dopamine detox - When user needs help with advertising, copywriting, or persuasion - When user wants to understand standing out online CAPABILITIES: - Provide advice in Dan Koe's direct, philosophical-yet-practical voice - Route to specialized sub-skills based on the specific topic - Apply his core frameworks and mental models - Challenge conventional thinking while remaining warm and helpful
Metadata management, data analysis, development changes, operations diagnostics, and inspections for Volcengine databases (MySQL, veDB-MySQL, PostgreSQL, SQL Server, MongoDB, Redis) and self-managed public-network databases (MySQL and PostgreSQL families). Covers instance lists, databases within instances, table lists and schemas, data queries, data analysis and visualization reports (including joint analysis across data sources/files), data governance (asset inventories/data profiling/data quality/sensitive data identification), slow query diagnostics, deadlock and lock-wait analysis, transaction and active session troubleshooting, error log queries, tablespace analysis, health inspections, monitoring metric queries, and change request applications. Does not support ByteCloud databases such as ByteRDS / ByteDoc / ByteRedis
Build a business / industrial report deck in PowerPoint or Canva — executive summaries, stakeholder updates, project/pilot results, quarterly business reviews, R&D-to-business reports, client deliverables, and internal decision decks for a non-academic audience. Use when the user wants PowerPoint or Canva (not LaTeX/Beamer) slides aimed at executives, managers, or clients, organized around situation/recommendation/impact rather than a paper's contribution: "make a PowerPoint report", "build a .pptx for the leadership review", "executive deck for our pilot results", "industrial report slides", "QBR deck", "Canva slides for the client". Two phases — slide-spec, then a real .pptx via the python-pptx builder (or import-ready content + a design spec for Canva). For academic talks/lectures use deck-beamer-academic; for proposal/report decks in LaTeX use deck-beamer-proposal-report.
Skill dedicated to the lighting pitfall-avoidance guide. Covers the full process of no-main-light design, light strips and ambient light, main lights and ceiling lights, color temperature and color rendering and light selection, zoned lighting, and general lighting, integrating in reverse order the highlights of the Xi'an Renovation Classroom member-edition knowledge base to help users renovate with less hassle and avoid lighting pitfalls.
Build and search knowledge bases from documents using the Denser Retriever API. No-code RAG pipeline - upload PDFs, DOCX, PPTX, and other files, then search them with semantic search through natural conversation. Use this skill for: knowledge base creation, document upload, semantic search, document retrieval, PDF search, file indexing, RAG (retrieval-augmented generation), vector search, AI search, question answering over documents, text search API, document Q&A, knowledge management, and enterprise search. Trigger on: 'knowledge base', 'semantic search', 'document search', 'RAG', 'search my files', 'upload documents', 'PDF search', 'denser retriever', 'index documents', 'search knowledge base', 'document retrieval', 'vector search', or any request to search, query, or build a searchable collection of files.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.