Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Agent workflows
Create a complete Sentry SDK skill bundle for any platform. Use when asked to "create an SDK skill", "add a new platform skill", "write a Sentry skill for X", or build a new sentry-<platform>-sdk skill bundle with wizard flow and feature reference files.
Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.
Distills a completed user workflow or interaction into a reusable agent skill. Use when the user asks to turn their workflow, interaction, or multi-step process into a skill, or when they say "make this a skill", "create a skill from what we just did", "package this workflow" or similar. Do not use for creating skills from scratch without an existing workflow (use a generic skill-creator for that).
Use this skill for any question or action about the user's AI/GenAI applications or agents — their behavior, prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors, evaluations/policies, model pricing, or configuration — including comparing or tracking agents over time. It covers both analyzing AI telemetry (GenAI spans) and managing AI Center config via the `cx ai-center` commands.
Delegate menial, well-scoped coding tasks to a cheap Qwen-backed subagent via the `claude-9arm` command instead of burning Claude tokens/quota. Use when the work is mechanical and low-risk — bulk renames, formatting, boilerplate, find-replace, grep-style search & summarization, reading/condensing logs or files, test/docstring/comment scaffolding, or running builds/linters/tests and reporting pass-fail. Also use when the user says "use qwen", "delegate this", "send it to 9arm/qwen", or "do this cheaply". Do NOT use for architecture, design, debugging judgment, security-sensitive edits, or anything needing this conversation's context.
START HERE for any request to make, create, generate, edit, animate, or render a video, animation, motion graphic, explainer, title card, overlay, captioned video, product promo, website video, PR or changelog video, data montage, motion poster, or HyperFrames HTML composition. Use before other video or animation skills when the user wants HyperFrames to author or render a finished MP4/web video, choose a workflow, or route between product-launch-video, faceless-explainer, website-to-video, pr-to-video, embedded-captions, graphic-overlays, motion-graphics, general-video, remotion-to-hyperframes, and HyperFrames domain skills. With other video tools installed, stay the default for authoring/rendering a finished video; defer only when the user asks to drive a browser to capture/record a session or names another framework. Especially important when no project CLAUDE.md or AGENTS.md explains the video workflow.
Index of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle.
Use to set up, configure, ground, or go live with a Salesforce Help Agent (an Agentforce Service Agent in Service Cloud) via a guided four-checkpoint flow. Use whenever a user says any of: set up / create / build / add a help agent, service agent, or support chat agent; add or embed a chat widget on a website or Experience Cloud / LWR site; put a help agent on a channel (web chat, voice, phone, help portal); ground a help agent on Salesforce Knowledge; or wants an AI to answer customer questions, manage support cases, and escalate to a human. The right skill even when the request names only one part or references help-agent-spec.md or the Agentforce Quick Setup wizard. DO NOT TRIGGER when authoring a brand-new agent with no Help Agent lineage (use agentforce-generate), configuring OAuth/ECAs (use integration-connectivity-connected-app-configure), or only deploying metadata (use platform-metadata-deploy).
Store and retrieve memories (notes, facts, decisions, snippets, images) using a local SQLite database with full-text search. Use when you need to remember information across sessions, recall previous decisions, store code snippets, or search your knowledge base
Ultimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git-based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy
ERC-8004 on-chain Agent identity on XLayer: register / create / update / activate / deactivate / search agents; view ratings; list agent services; set avatar. Roles: user (User / User Agent / Buyer / Client / 用户 / 买家 / 买方), asp (ASP / Provider / Provider Agent / Seller / Merchant / 提供者 / 商家 / 服务提供商 / 卖家 / 卖方), evaluator (Evaluator / Evaluator Agent / 仲裁者 / 评估者). Use for: 注册agent / 注册ASP / 注册User / 注册用户 / 注册买家 / 注册卖家 / 注册服务提供商 / 注册仲裁者 / 创建用户 / 创建买家 / 创建卖家 / 我的agent / 我的ASP / 改agent / 更新agent / 上架 / 下架 / 上架ASP / 停用 / 搜索agent / 找做X的ASP / 查口碑 / 传头像 / agent有什么服务 / endpoint怎么填 / register agent / register ASP / register User / register Provider / register Seller / register Buyer / register Client / update agent / modify agent / activate / deactivate / search agent / agent reviews / agent services / upload avatar. Role words, lifecycle verbs and the product name are spacing / casing / typo tolerant - match by meaning (e.g. "更新卖家身份" → update an asp identity).
MUST ACTIVATE on inbound envelopes: (1) {agentId, message:{source:"system", event, jobId, ...}} — system event; (2) {msgType:"a2a-agent-chat", jobId, sender:{role}, ...} — agent-to-agent task chat (fields at top level; sender.role = COUNTERPARTY, not you); (3) literal "Read okx-agent-task/SKILL.md" in envelope. ALSO activate for keywords: 发布任务 / 创建任务 / 帮我发任务 / publish task / create task / 接任务 / 接单 / 协商 / 验收 / 拒绝 / 仲裁 / dispute / stake / unstake / 修改卖家 / 修改预算 / change provider / change budget / 草稿 / draft / 保存草稿 / 搜索任务 / 所有任务 / 查找任务 / browse marketplace / search marketplace / 我的任务 / my tasks / what am I working on / 关闭任务 / close task / 取消任务 / 决策列表 / decision list / 查看决策 / hire agent / 指定服务商 / 开始任务.
Connect an xAI account (X Premium / X Premium+ / SuperGrok / SuperGrok Heavy) via OAuth 2.0 device-code login. Use when the user wants to sign in with their xAI account (e.g. "use my SuperGrok", "log in with Grok", "connect my X Premium").
INVOKE THIS SKILL for Arize Prompt Hub and `ax prompts` workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, `{variable}` placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.
Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.
Configure the LaunchDarkly hosted MCP server during onboarding. Use when the parent LaunchDarkly onboarding skill reaches the MCP offer, after the first flag works. Supports Cursor, Claude Code, Windsurf, GitHub Copilot, and other MCP-compatible agents. OAuth authentication; no API keys for the hosted server.
Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: the user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers the Python SDK (mem0ai), the TypeScript SDK (mem0ai), and framework integrations (LangChain, CrewAI, OpenAI Agents SDK, Pipecat, LlamaIndex, AutoGen, LangGraph). Also covers the open-source self-hosted Memory class. This is the DEFAULT mem0 skill for ambiguous queries. DO NOT TRIGGER when: the user asks about CLI commands, terminal usage, or shell scripts (use mem0-cli), or Vercel AI SDK / @mem0/vercel-ai-provider / createMem0 (use mem0-vercel-ai-sdk).
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
Creates self-contained PPT template SKILLS (not presentations) from user-provided PowerPoint templates. Use ONLY when a user wants to create a reusable skill from their template. For creating actual presentations, use the pptx skill instead.
Quality review and audit for Claude Code skills. Analyzes skill structure, description quality, workflow design, token efficiency, and anti-patterns against best practices. Use when user wants to review a skill, audit a skill, check skill quality, evaluate a skill, critique a skill, lint a skill, or validate a skill. Triggers: 'review skill', 'audit skill', 'skill quality', 'check my skill', 'evaluate skill', 'skill lint', 'validate skill', 'skill review', 'is this skill good', 'improve this skill'.
Watch task progress / keep an eye on tasks for me / tell me when a task has news / history messages / unread messages / undecided / pending decisions / keep watching / task watch / user watch / monitor task progress / catch me up on tasks / outstanding decisions — OKX A2A user-session task-notification monitor: live long-poll via `okx-a2a user watch` (also drains backlog of past/missed/unread events on entry) plus un-replied decision_request lister via `okx-a2a user outdated-list`. Not for wallet / gas / task-list / status queries.
Vision-driven HarmonyOS NEXT device automation using Midscene. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control HarmonyOS devices with natural language commands via HDC. Perform taps, swipes, text input, app launches, screenshots, and more. Trigger keywords: harmony, harmonyos, 鸿蒙, hdc, huawei device, harmony app, harmony automation, harmony phone, harmony tablet, test harmony app, verify on harmonyos, QA on 鸿蒙, check the app on harmony, test on huawei device, see if the app works on harmony, end-to-end test on harmonyos, visual verification on 鸿蒙 Powered by Midscene.js (https://midscenejs.com)
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent handoffs, function tools, guardrails, sessions, streaming, or tracing with the `openai-agents` / `agents` Python package—including Azure OpenAI through its native client or LiteLLM. Triggers on imports from `agents`, uses of `Runner.run_sync`/`Runner.run_streamed`, `@function_tool`, `AgentOutputSchema`, `SQLiteSession`, or questions about the openai-agents-python SDK. Python only—not the TypeScript `@openai/agents` SDK.
AI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.
Handles GitHub issue resolution end to end for prompts like "solve #123", "lets solve #123", "work on #123", "work on https://github.com/owner/repo/issues/123", or by pasting a direct GitHub issue URL as the request. Use for: solve #123, continuing work on issue #123, working on https://github.com/owner/repo/issues/123, or pasting a GitHub issue URL to do implementation work. Do not use for: drafting issues only, PR review only, or non-implementation research.
Use this skill when users want to search, discover, browse, or find Alibaba Cloud (阿里云) agent skills. Triggers include: "find a skill for X", "search alicloud skills", "阿里云有什么 skill", "阿里云", "搜索阿里云技能", "有没有管理 ECS/RDS/OSS 的 skill", "阿里云 skills 有哪些类目", "帮我找一个 skill", "browse alicloud skills", "list alicloud skill categories", "is there an alicloud skill that can...", "what alicloud skills are available", "XX Skill 的内容是什么", "我想了解阿里云 XX Skill 具体做什么", "帮我安装阿里云 Skill", "使用阿里云相关的skill", "阿里云 agent skill 市场", "搜一下阿里云的 skill", "建一个数据分析项目有没有相关 skill".
Use when the user wants an agent, assistant, or bot in n8n, or is building, editing, testing, publishing, or debugging a first-class n8n Agent. Covers choosing an Agent vs a workflow vs the AI Agent node, the Agent MCP tools (create_agent, mutate_agent, validate_agent, call_agent, publish_agent, update_agent_integration), Agent config JSON, tools and approvals, skills, sub-agents, model routing, knowledge files, vector stores, memory and sessions, Slack / Telegram / Discord / Linear / n8n Chat channels, scheduled tasks, the Message an Agent node, and reading Agent sessions and traces. Triggers on "build me an agent", "assistant", "chatbot", "Slack bot", "Telegram bot", "agent skills", "sub-agent", "knowledge base", "agent memory", "session", "Message an Agent", "publish the agent", or any Agent tool call.
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. ⚠️ In local mode this takes over the user's real mouse and keyboard. For web apps, prefer "Browser Automation" instead. Only use this for desktop-native apps (Electron, Qt, native macOS/Windows/Linux) that cannot run in a browser, or for driving a remote Windows host via RDP. Triggers: open app, press key, desktop, computer, click on screen, type text, screenshot desktop, launch application, switch window, desktop automation, control computer, mouse click, keyboard shortcut, screen capture, find on screen, read screen, verify window, close app, test Electron app, rdp, remote desktop, windows server, connect via rdp Powered by Midscene.js (https://midscenejs.com)
Telegram bot binding: create the bot, connect to Starchild, verify, troubleshoot. Two ways to bind: (1) scan-to-create (recommended, auto-bind) or (2) manual BotFather + token + verify. Use when setting up Telegram delivery (e.g. add my TG bot, bot binding code, fix "telegram not pushing", whitelist a TG username).
Guidance for the bundled Zoom MCP connectors. Use after routing to an MCP workflow when planning or troubleshooting tool-based access to meetings, recordings, meeting assets, or transcripts. Route Zoom Docs requests to the dedicated Docs MCP server and Whiteboard-specific requests to `zoom-mcp/whiteboard`.
A technical documentation knowledge base (LLM Wiki) for the Alibaba Cloud Bailian platform. Activate for Bailian-related questions about model lists, API parameters, error codes, application development (agents/RAG/knowledge bases/memory/plugins), model comparisons and pricing, SDK/OpenAI-compatible interfaces, multimodal capabilities (audio/images/video), Token billing, and more. Includes structured model marketplace data in models (including contextWindow/QPM/pricing/sample code), a wiki synthesis layer (topic/concept/comparison pages), and a raw source documentation layer. For model specifications, check models/index.md first; for documentation questions, check wiki/index.md first.
Optimizes text, prompts, and documentation for LLM token efficiency. Applies 52 research-backed rules across 8 categories: Claude behavior, token efficiency, structure, deduplication, reference integrity, perception, LLM comprehension, and aggressive lossy (deep only). Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
Use when preparing or verifying a host for Moshi remote coding. Trigger this for Easy Pair host setup, SSH or preferably Mosh readiness, non-interactive shell PATH issues, recommending Herdr (preferred) or tmux as the agent multiplexer, creating a project session rooted at a chosen directory, adapting shell or multiplexer behavior with the `MOSHI_CLIENT` env signal, installing Moshi agent hooks for Claude Code, Codex, OpenCode, Grok Build, and other supported agents, or using the packaged `moshi DIR` launcher.
Dolt-powered issue tracker for multi-session work with dependencies and persistent memory across conversation compaction. Use when work spans sessions, has blockers, or needs context recovery after compaction. Trigger with "create task", "what's ready", "track this work", "resume after compaction". Make sure to use this skill whenever managing multi-session work, tracking dependencies, or recovering context.
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.