Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
All
ElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe
Quantify realized risk from historical data using volatility estimators, drawdown analysis, and downside risk metrics. Use when the user asks about historical volatility, maximum drawdown, drawdown duration, historical VaR, downside deviation, semi-variance, or tracking error. Also trigger when users mention 'how risky has this been', 'worst decline', 'Parkinson estimator', 'Yang-Zhang', 'peak-to-trough loss', 'recovery time', 'annualized volatility', or ask how to measure past investment risk.
Set up a newsjack monitoring profile for a company so newsjack-detector can run on a schedule. Guides the user through company standing, topics, competitors, proof assets, spokespeople, RSS feed selection, optional X trend monitoring, and optional Slack delivery.
Deep macOS integrations for a native app, such as global hotkeys, menu bar items, floating panels, window control with Accessibility, screen capture and recording, clipboard, Shortcuts and Spotlight, URL schemes, login items, a CLI, and the permissions each one needs. Use when an app must reach outside its own window or control other apps.
Use this skill ONLY when the user explicitly asks for help designing or architecting a process ("help me design", "what's the best structure", "how do I organize this flow?"). For direct execution requests ("create a pipe for X", "build a reimbursement process", or any message with a detailed spec), skip this skill and execute directly using the domain skills (pipes-and-cards, automations, etc.).
Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.
Triage inbound journalist source queries and draft a response only when the user's expertise is a real fit. Runs each query through proven source-request lenses (4-gate fit triage, credential-standing test, deadline read, BLUF/inverted-pyramid drafting), kills weak fits, asks for missing proof, and never auto-sends.
Clone or update https://github.com/vibe-motion/threejs-earth and render the Three.js Earth route animation with Puppeteer frame capture. Use when users ask for 三维地球航线动画, Three.js Earth, 地球飞线, globe route animation, or exporting an Earth GIF/MP4/PNG sequence.
Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/[email protected], plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.
Rebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".
Create a clean, vertical editorial artwork that preserves an uploaded photograph as the original image and pairs it with a restrained, photo-derived abstract memory panel and poetic English title. Use when asked to transform a photo into an abstract editorial diptych, photo-plus-abstraction composition, visual memory panel, or minimalist archival poster without redrawing or stylizing the source photo.
Use this skill when the user wants to analyze an existing pipe for improvement opportunities — automation gaps, manual bottlenecks, missing AI agents, field conditions, or adjacent processes. Acts as a process analyst: investigates, diagnoses, and improves the pipe in progressive rounds — each round delivers visible results.
Use for QMR duties under ISO 13485 5.5.2: management review, quality policy and objectives, quality KPIs and cost of quality. Tracks reviews with management_review_tracker.py and monitors effectiveness with quality_effectiveness_monitor.py.
This skill should be used when developing SAP UI5 applications, including creating freestyle apps, Fiori Elements apps, custom controls, testing, data binding, OData integration, routing, and troubleshooting. Use when building enterprise web applications with the SAP UI5 framework, implementing MVC patterns, configuring manifest.json, creating XML views, writing controllers, setting up data models (JSON, OData v2/v4), implementing responsive UI with sap.m controls, building Fiori Elements apps, writing unit tests with QUnit, integration tests with OPA5, setting up mock servers, handling security (XSS, CSP), optimizing performance, implementing accessibility features, or debugging UI5 applications. Also covers sap.ui.mdc controls and TypeScript control libraries.
Use when generated assets must keep a consistent style, character, or product look and references stop scaling, or when a user asks to train a custom model through the Scenario MCP, fine-tune a LoRA, clone a voice, curate a training dataset, choose a base model, set epochs and sample prompts, estimate training cost, diagnose a trained model that lost its identity or has one epoch, or generate with a trained model. Keywords: custom model, LoRA, dataset curation, epoch previews
Query and edit Sumsub's supported identity documents. READ the built-in catalogue (documentsByCountries) — which document types are supported per country, whether they're double-sided, which OCR fields are default vs. available. EDIT a client's own supported-document overrides (idDocSettings.countryMappings) via the global-settings API. TRIGGER when the user asks "which countries / document types support field X", "what fields can I collect for a passport in DEU", "is the ID card double-sided in France", OR wants to change supported documents / toggle a document type / edit collected fields for a country. SKIP for creating levels or questionnaires (use the dedicated skills).
App-layer SDK guide for building swap and liquidity experiences directly with the Uniswap v4 SDK. Use when user asks about "v4 sdk", "uniswap v4", "v4 swap", "v4 liquidity", "PoolManager", "V4Planner", "StateView", "PositionManager", "pool state", "v4 position", "uniswap sdk", or when building swap/liquidity UX directly with SDKs rather than via the Trading API.
Use when structured YouTube data is needed: pasted video/channel/playlist links, transcripts for analysis, video metadata, channel upload history, search results, or playlist contents — without Google API quotas or OAuth. Triggers on YouTube URLs, creator names, topic research, or any request needing YouTube content, even if not mentioned explicitly. Not for uploads, account management, or written-source-only research.
Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs, metrics, or permissions; manage legacy AI Gateway rate limits (not Unity Gateway); discover Foundation Model API endpoints at runtime; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: Unity Gateway CRUD and management (databricks-unity-gateway), training, MLflow autologging, UC registration, custom PyFunc/ResponsesAgent authoring (databricks-ml-training); no-code document / data agents incl. legacy Knowledge Assistants & Supervisor Agents (databricks-genie-agents); MLflow evaluation (databricks-mlflow-evaluation).
ElevenLabs voice isolator - remove background noise and isolate vocals from audio via inference.sh CLI. Capabilities: noise removal, voice extraction, audio cleanup, background removal. Use for: podcast cleanup, interview audio, music vocals, noisy recordings, audio restoration. Triggers: voice isolator, noise removal, background removal, isolate voice, clean audio, remove background noise, audio cleanup, voice extraction, elevenlabs isolator, eleven labs noise, vocal isolation, denoise, audio restoration, voice separation
Architecture check-in for a growing macOS Swift codebase. Finds hot spots, proposes deeper modules, and refactors one step per commit with behavior proven unchanged. Use at the end of a milestone, before a big feature, when a file passes 600 lines, when one feature touches many files, when bugs repeat in one area, or when the user asks to refactor or clean up the code.
Grid and alignment rules for a macOS SwiftUI app, with three checks that catch misalignment (a lint for off-grid numbers, a layout probe that measures real frames in snapshot mode, and a grid overlay). Use when building or reviewing a custom page, card, row, form, or sheet, after every build that touched layout, or when the user says something looks misaligned, crooked, cramped, or unevenly spaced.
Use when a developer works with the Slack CLI (slack command) to create, run, or manage a Slack app from the terminal: logging in or authenticating (slack login), adding a team or switching workspaces, running locally (slack run), deploying, editing the app manifest, calling Web API methods (slack api), or searching Slack docs (slack docs search).
Add, replace, or remove tags on a Sumsub applicant profile via the public API — `POST /resources/applicants/{applicantId}/tags/add` (additive), `POST .../tags` (overwrite the full set), `DELETE .../tags` (remove), read-back via `GET .../one`. TRIGGER when the user asks to "tag / untag an applicant", "add / remove / clear applicant tags", "label an applicant profile", or "replace an applicant's tag set". SKIP for transaction tags, tag definitions with scoring weights, or applicant risk assessment (use `sumsub-create-kyt-rules`), for automated tagging inside verification workflows (use `sumsub-create-workflow`), and for subscribing to tag-change webhooks (use `sumsub-manage-webhooks`).
Implement Syncfusion React File Manager component for file system navigation and management. Use when users need file browsing, upload/download, file operations (create, delete, rename), multiple views, drag-drop, customization, or accessibility features. Supports local and remote file systems with comprehensive customization options.
Use this skill when users need to apply themes, customize appearance, switch dark mode, use CSS variables, configure icons, or modify visual styling for Syncfusion React components. Covers icon library, size modes, and Theme Studio integration
ATP and WTA tennis data via ESPN public endpoints — tournament scores, season calendars, player rankings, player profiles, and news. Zero config, no API keys. Use when: user asks about tennis scores, match results, tournament draws, ATP/WTA rankings, tennis player info, tennis news, a WTA tournament's entry list, or a WTA player's match history. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news. Don't use for live point-by-point data — scores update after each set/match.
Prioritized backlog of user stories with checkable acceptance criteria (docs/STORIES.md) for a macOS app, built from a brief, research, or screen index. Use after app-brief or clone, or when the user asks for user stories, a backlog, a feature list, or "what do we build first".
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202
ElevenLabs voice changer - transform any voice to a different voice while preserving speech content and emotion via inference.sh CLI. Models: eleven_multilingual_sts_v2 (70+ languages), eleven_english_sts_v2. Capabilities: speech-to-speech, voice transformation, accent change, voice disguise. Use for: content creation, voice acting, privacy, dubbing, character voices. Triggers: voice changer, speech to speech, voice transformation, change voice, voice swap, voice conversion, voice disguise, eleven labs voice changer, elevenlabs sts, transform voice, ai voice changer, voice modifier
Use this skill when the user wants to create, read, update, delete, or troubleshoot AI agents (conversational agents with behaviors). Includes pre-flight validation and pipe-scoped knowledge bases (list, plain text/document/data lookup CRUD, access probe) attached via dataSourceIds. For traditional automations and AI automations, see `pipefy-automations`.
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.
