Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
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This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and troubleshooting steps for ADK or any agent development.
Use this skill when the user wants to “run an evaluation,” “evaluate my agent,” “evaluate my ADK agent,” “write an eval dataset,” “analyze eval failures,” “compare eval results,” “optimize agent,” or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do not use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI animation (scroll, cursor, callouts), or fusing a real image's geometry into a chart. Usually under 10s (up to ~30s), no narration or live-action subject; renders to MP4 or transparent overlay. Longer / narrated / multi-scene → /general-video. Unclear → /hyperframes.
Use when users ask how to write, explain, customize, migrate, secure, or troubleshoot GitHub Actions workflows, workflow syntax, triggers, matrices, runners, reusable workflows, artifacts, caching, secrets, OIDC, deployments, custom actions, or Actions Runner Controller, especially when they need official GitHub documentation, exact links, or docs-grounded YAML guidance.
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
Use when self-hosting OpenClaw on a cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.
Use when setting up, hardening, or reviewing a cloud server for self-hosting, including DNS, SSH, firewalls, Nginx, static-site hosting, reverse-proxying an app, HTTPS with Let's Encrypt or ACME clients, safe HTTP-to-HTTPS redirects, or optional post-launch network tuning such as BBR.
Use when users ask to discover, install, list, check, update, remove, back up, restore, sync, or initialize Agent Skills, mention `bunx skills`, `npx skills`, `skills.sh`, or `skills-lock.json`, ask "find a skill for X", or want help extending agent capabilities with installable skills.
Use when routing Claude Code through a local LiteLLM proxy to GitHub Copilot, reducing direct Anthropic spend, configuring ANTHROPIC_BASE_URL or ANTHROPIC_MODEL overrides, or troubleshooting Copilot proxy setup failures such as model-not-found, no localhost traffic, or GitHub 401/403 auth errors.
Use when a user wants guidance on starting, contributing to, growing, governing, funding, securing, or sustaining an open source project, or asks about contributor onboarding, community health, maintainer burnout, code of conduct, metrics, legal basics, or open source project adoption.
Animate a single still image into a 4-30 second 720p cinematic clip with optional synchronized native audio using ByteDance Seedance 2.5 Image to Video on RunComfy. Documents the four-field schema (prompt, image, duration, generate_audio), the $0.35/s pricing, the fact that output aspect ratio follows the input image, and when to route to the Seedance 2.5 480p, text-to-video, reference-to-video or first-last-frame pages instead. Calls `runcomfy run bytedance/seedance-2.5/image-to-video/720p` through the local RunComfy CLI. Triggers on "seedance 2.5 image to video", "seedance image to video", "seedance i2v", "animate this image with seedance", "bytedance image to video", or any explicit ask to turn a still into video with Seedance 2.5.
Build video clips from reference images, reference videos, and reference audio with Wan-AI Wan 3.0 Prime Reference to Video on RunComfy. Up to 10 reference images, 5 reference videos and 5 reference audio clips are bound to a prompt that names them as "Image 1", "Video 1", "Audio 1", giving character, product and scene consistency across a 2-30 second shot at 480p, 720p or 1080p with a synchronized audio track. Documents the full input schema, the counted-second pricing model (reference videos are billed as duration, images and audio are not), and when to route to Wan 3.0 Prime text-to-video / image-to-video, Wan 2.7 or Seedance 2.0 Pro instead. Calls `runcomfy run wan-ai/wan-3.0-prime/reference-to-video` through the local RunComfy CLI. Triggers on "wan 3 prime reference to video", "wan 3.0 prime", "wan3 prime", "reference to video", "ref2v", "keep the same character across shots", "video from reference images", or any explicit ask to generate video from references with this model.
Generate reference-guided 1080p video with ByteDance Seedance 2.5 Reference to Video on RunComfy via the `runcomfy` CLI. Feed up to 9 reference images, 1-3 reference video clips, and 3 reference audio files into one call and get a 4-30 second 1080p clip with native synchronized audio, identity and style locked to your references. Documents the full input schema (images / videos / audios / aspect_ratio / duration / generate_audio), the counted-seconds billing model ($0.53 per second of reference video duration plus output duration), the 480p draft-then-deliver workflow, and when to route to Seedance 2.5 text-to-video, image-to-video, or Seedance 2.0 Pro instead. Calls `runcomfy run bytedance/seedance-2.5/reference-to-video/1080p`. Triggers on "seedance 2.5", "seedance 2.5 reference to video", "reference to video", "reference-to-video", "seedance 1080p", "ByteDance Seedance 2.5", "consistent character video", "style-locked video", or any explicit ask to generate video from reference images and clips.
Use when work depends on the user's live browser session or visible rendered state rather than static fetches, especially for browser debugging contexts or DevTools-selected elements or requests, logged-in dashboards or CMS flows, localhost apps, forms, uploads, downloads, media inspection, DOM or iframe inspection, Shadow DOM, or browser failures that look like soft 404s, auth walls, anti-bot checks, or rate limits.
Use when tasks involve Xget URL rewriting, registry/package/container/API acceleration, integrating Xget into Git, download tools, package managers, container builds, AI SDKs, CI/CD, deployment, self-hosting, or adapting commands and config from the live README `Use Cases` section into files, environments, shells, or base URLs.
Use when the user needs to create, extract, flatten, list, test, install, script, or troubleshoot `tzst` CLI workflows for `.tzst` or `.tar.zst` archives, including compression levels, streaming mode, extraction filters, conflict resolution, JSON output, or standalone binary setup, even if they describe the archive task without naming `tzst`.
Use this skill when the user wants to send or fetch files through an Xdrop server from the terminal, asks to automate encrypted Xdrop share-link workflows, provides an Xdrop `/t/:transferId#k=...` link to download and decrypt locally, or needs Xdrop CLI flags such as `--quiet`, `--json`, `--expires-in`, `--output`, or `--api-url`, even if they do not explicitly mention the skill name.
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc
Lark Cloud Docs (Docx / Wiki documents): read and edit Lark document content. Use when users provide document URLs or tokens, or need to view, create, edit documents, insert or download document images and attachments. For spreadsheets, multi-dimensional tables, and canvases embedded in documents, first extract the token using this skill and then switch to the corresponding skill. When users provide /docx/ or /wiki/ URLs/tokens from doubao.com, also use this skill directly; routing is based on URL path patterns and tokens, not domain names. Does not handle document comments management, nor data operations for tables or Base. Also use this skill when users explicitly need to work with Lark MindNotes.
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized repro_outputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
Lark Base operations: creating tables, fields, records, views, statistics, formulas/lookup, forms, dashboards, workflows, and role permissions. Use this for Base/multi-dimensional table/bitable or /base/ links. Route file imports to lark-drive and authentication/authorization to lark-shared.
Lark instant messaging: send and receive messages and manage group chats. Send and reply to messages, search chat history, manage group members, upload and download images and files (supports chunked download for large files), manage emoji reactions, send in-app/SMS/phone urgent notifications, send and handle Interactive Cards, listen to card button callbacks (card.action.trigger). Use when you need to send messages, view or search chat history, download files from chats, view group members, search groups, create group chats or topic groups, manage marker data, manage Feed pinning (add/remove/query pinned sessions), manage tag data, and handle card callbacks.
Feishu cloud space (cloud drive/cloud storage): manage Drive files and folders, including upload/download, creating folders, copy/move/delete, viewing metadata, comments/permissions/subscriptions, titles, versions and local file import. Use when the user needs to organise cloud drive directories, handle cloud space resource URLs/tokens, determine link types/real tokens/titles, or import Word/Markdown/Excel/CSV/PPTX/.base into docx/sheet/bitable/slides; doubao.com cloud space URLs/tokens are also routed by resource path and token, without falling back to WebFetch. Not responsible for: document content editing (use lark-doc), data operations within spreadsheets/Base tables (use lark-sheets/lark-base), knowledge space node/member management (use lark-wiki), native Markdown file read/write/patch/diff (use lark-markdown).
Feishu spreadsheets: create and operate spreadsheets. Supports creating spreadsheets, managing worksheets and row/column structure (add/delete, merge, resize, hide, freeze), reading and writing cells (values, formulas, styles, comments, cell images), find and replace, atomic batch updates with multiple operations, and creating and maintaining objects such as charts, pivot tables, conditional formatting, filters, sparklines and floating images. Use when the user needs to create spreadsheets, manage worksheets, batch read/write or edit data, aggregate and visualise data, beautify tables, calculate formulas (including Excel formula migration), or build financial models (DCF, three-statement, budgets, sensitivity analysis, etc.). If the user wants to search for spreadsheet files by name or keyword in cloud space (cloud drive/cloud storage), use lark-drive's drive +search first to locate the resource. When the user provides a doubao.com /sheets/ URL/token, use this skill directly rather than falling back to WebFetch because the domain is not Feishu; routing is based on the URL path pattern and token, not the domain.
Lark Wiki: manage knowledge spaces, space members, and document nodes. Create and query knowledge spaces, view and manage space members, manage node hierarchy, organize documents and shortcuts in the knowledge base. Use when users need to find or create documents, browse knowledge space structure, view or manage space members, or move or copy nodes. When users provide a doubao.com /wiki/ URL/token, use this skill directly without falling back to WebFetch due to domain name; routing is based on URL path pattern and token, not domain name. Not responsible for: uploading files to knowledge base nodes (use lark-drive), editing document/sheet/Base content (use lark-doc / lark-sheets / lark-base).
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription"
Lark Whiteboard: query and edit whiteboards in Lark Cloud Documents. Supports exporting whiteboards as preview images, exporting raw node structures, and updating whiteboard content using multiple formats. Use this skill when users need to view whiteboard content, export whiteboard images, or edit whiteboards. Not responsible for: Lark Cloud Documents content editing (lark-doc), embedded spreadsheets/Base in documents (lark-sheets / lark-base).
Lark Tasks: manage tasks, checklists, and task agents. Create to-do tasks, view and update task status, split subtasks, organize task checklists, assign collaborators, upload task attachments, register or unregister task agents, update task agent homepage data, and write agent task logs. Use when you need to create to-do items, view task lists, track task progress, manage project checklists, assign tasks to others, upload attachment files for tasks, register/unregister task agents, update agent homepage data, or write task logs.
Lark Calendar: manage calendar schedules and meeting rooms. View/search schedules, create/update schedules, manage attendees, check availability and suggest time slots, book meeting rooms. Use when users need to view schedules, create/modify meetings, and query/book meeting rooms. Not responsible for: querying past video conference records (see lark-vc), to-do tasks (see lark-task).
Lark Mail: Use when user mentions drafting emails, writing emails, drafts, sending/replying to/forwarding emails, reviewing emails, viewing emails, searching emails, email folders, email labels, email contacts, listening for new emails, email rules, etc.; use for mail/email intent only. Do not use for docs/sheets/calendar/auth setup/pure contact lookup/IM chat tasks.
Lark Minutes: Search minutes, view minutes basic information, download/upload audio and video, read or edit minutes output content, change titles, replace speakers/keywords. Use when given minute_token or local audio/video files to query/modify/convert minutes output; local audio/video to minutes/transcript should prioritize this skill, do not use ffmpeg/whisper for local transcription. Not responsible for: retrieving meeting-associated minutes or locating minutes by natural language title only.
Lark VC: Search historical meeting records, query meeting notes (summaries/action items/chapters/transcripts), and retrieve attendee snapshots. Use when users query completed meetings, retrieve meeting outputs (notes/minutes), or view attendees; for future schedules, use lark-calendar. Not responsible for: Agent actual meeting entry/exit, real-time in-meeting events (use lark-vc-agent).
Lark/Feishu real-time event listening/subscribing/consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM messages/reactions/chat changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
Lark contacts: resolve names or email addresses to open_id, or look up names, departments, email addresses, contact information, personal status, and signatures by open_id. Use when users mention a person's name for messaging or scheduling follow-ups, or when they have an open_id and want to look up specific information. Does not handle department tree traversal, employee listing by department, or organizational charts; use the native OpenAPI for those needs.
Meeting notes organization workflow: Consolidate meeting notes within a specified time range and generate structured reports. Use when users need to organize meeting notes, generate weekly meeting reports, or review meeting content over a period of time.
Native OpenAPI exploration for Feishu/Lark: discover native OpenAPI interfaces from official documentation that are not wrapped by CLI. Use when user needs cannot be met by existing lark-* skills or lark-cli registered commands and native Feishu OpenAPI lookup and invocation is required.
Assess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).
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.