Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Vercel AI SDK v6 development, for projects already on ai@6. Use when building or maintaining AI agents, chatbots, tool integrations, streaming apps, or structured output in a v6 codebase. New projects and ai@7 code use ai-sdk-7; an unknown version goes through ai-sdk. Covers ToolLoopAgent, useChat, generateText, streamText, tool approval, provider tools, MCP integration, and Output patterns.
Alibaba Cloud PolarDB Database AI Assistant. For PolarDB MySQL/PostgreSQL cluster management, instance inspection, performance diagnostics, parameter explanation and change assessment, SQL/log analysis, backup, security audit, HA/DR, event analysis, and other PolarDB O&M operations. Use when user questions involve PolarDB, cluster IDs starting with pc-, PolarDB kernel/proxy versions, parameters, primary-standby switchover, IMCI columnar storage, or PolarDB console operations. This Skill is PolarDB-only.
Anime.js adapter patterns for HyperFrames. Use when writing Anime.js animations or timelines inside HyperFrames compositions, registering animations on window.__hfAnime, making Anime.js seek-driven and deterministic, or translating Anime.js examples into render-safe HyperFrames HTML.
Generate App Store and Google Play screenshot assets using each::sense AI. Create device-framed screenshots, feature highlights, localized versions, and promotional visuals optimized for iOS App Store and Google Play Store requirements.
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters). Built-in adapters for X/Twitter, YouTube transcripts, Hacker News threads, and generic pages via Defuddle. Handles login/CAPTCHA via interaction wait modes. Use when user wants to save a webpage as markdown.
Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools
This skill should be used when the user asks to “add an annotation”, “upload artifacts from a step”, “share data between steps”, “upload pipeline dynamically”, “request an OIDC token inside a step”, “acquire a distributed lock”, “get or update a step attribute”, “redact a secret from logs”, “retrieve a cluster secret at runtime”, or “debug environment variables in hooks”. Also use when the user mentions buildkite-agent annotate, buildkite-agent artifact upload/download, buildkite-agent meta-data set/get, buildkite-agent pipeline upload, buildkite-agent oidc request-token, buildkite-agent step, buildkite-agent lock, buildkite-agent env, buildkite-agent secret get, buildkite-agent redactor add, buildkite-agent tool sign/keygen, buildkite:webhook, raw webhook payloads, or any buildkite-agent subcommand used inside a running job step
This skill should be used when the user asks to "create a challenge funnel", "build a 5-day challenge", "bootcamp funnel", "challenge launch", or mentions challenges, bootcamps, or multi-day engagement funnels. Creates challenge funnels that activate prospects, build community, and convert to core offers.
Multi-ecosystem hackathon resource advisor for Colosseum builders. Use when a builder needs project-specific sponsor tools, SDKs, RPC providers, frameworks, wallets, infrastructure, or build paths from Colosseum’s published resource index
Autonomously achieve a goal. Use when the endpoint, acceptance criteria, or budget is clear; when iterating until completion; or when starting work after “grill me.” Don’t use for planning and implementing a single feature (cs-feat), end-to-end breakdown of a large request (cs-epic), bug diagnosis and fixes (cs-issue), behavior-preserving refactors (cs-refactor), external documentation (cs-docs), or pure design, roadmaps, brainstorming, or audits without an implementation endpoint.
BDD testing with Cucumber and Gherkin for Ruby and Rails applications. Use when writing feature files (.feature), step definitions, hooks, or implementing Behaviour-Driven Development in Ruby/Rails projects. Covers Gherkin keywords (Feature, Scenario, Given/When/Then, Background, Scenario Outline, Rule), Ruby step definition patterns, Cucumber Expressions, hooks (Before/After/BeforeAll/AfterAll), tags, data tables, doc strings, World modules, and Capybara integration. Triggers on cucumber, gherkin, BDD, feature files, step definitions, acceptance testing, executable specifications
Motion and interaction design expert with two modes: build interactive components with purposeful motion, or audit existing animations for AI-slop patterns. Audit emits a branded HTML report with looping CSS demos per finding. Based on Emil Kowalski (restraint), Jakub Krehel (production polish), and Jhey Tompkins (creative experimentation), with lenses weighted to project context. Works with React, Framer Motion, CSS, and HTML.
Provider-independent workflow for AI agents producing documentary-style montages, archive-driven timelines, interview-supported sequences, nonprofit or advocacy shorts, historical explainers, and hybrid generated/archive edits. Use for editorial thesis development, research/source logs, fact-checking, archive rights, synthetic reenactment disclosure, chronology, interview selects, lower thirds, generated b-roll direction, music restraint, captions, sensitive subjects, review escalation, delivery variants, and documentary QA.
Trace on-chain money flow via the Etherscan API V2 and write a single Etherscan Flow Case JSON file (nodes + edges). Input: a tx hash, a wallet/contract address, a business/entity scope (“show ENS DAO as a business”), pasted notes/draft, or a user-typed link (gist, tweet/X, article) with addresses and flow claims verified live. Two modes: strict trace for tx/address investigation, and business/entity profile for income/spending/treasury questions. Use when the user says “trace this tx”, “visualize this transaction”, “follow the money”, “build a case for this scam”, “show this DAO's income and spending”, or pastes a 0x hash/address. Output is JSON only; every address, amount and txhash comes from a live API response, never invented. Ethereum by default, other EVM chains supported. Security cases also reconstruct an evidence-backed incident mechanism, confidence, losses, and alternatives. Transport priority: official etherscan CLI, Etherscan MCP, inline apikey=, then other HTTP key sources
Create, animate, review and render videos in code with fframes (Rust, SVG scenes, ffmpeg encoding, Skia GPU rendering). Use whenever the user wants a video, animation, motion graphic, explainer, promo, social clip, title card, podcast visual, lyric/caption video or any rendered .mp4/.webm made programmatically, or asks to change, fix, speed up or check an fframes video. Covers installing fframes, creating a project, designing good-looking motion, 3D shots (`fframes::three_d`, three.js style scenes), sound (music, voice, SFX, loudness), watching it in a real-time preview window, and checking the result without watching it: frames and contact sheets as PNG, automatic problem detection, loudness numbers, fast draft and range renders
Find an open-source, reverse-engineered tool for a closed app, API, device, protocol, file format or game, then read or fetch it. Use when a task needs to talk to something that has no official API, SDK, driver or spec, or only a limited one. Examples include "control my Tuya plug locally", "read a .psd or .dwg file", "unofficial WhatsApp, Instagram or Bilibili client", "Bambu printer protocol", "talk to my car's API", "Garmin or CGM data", "decompilation of a game" and "OpenAI-compatible proxy for a web chatbot". The skill searches a curated index of 17,000+ verified projects ranked by stars, language, license and activity.
Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to `investigating-replay`. Do NOT use when the user already has a recording/session ID (use investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).
Scan the agent-framework frontier over the past 30 days and compare overstack across 8 axes (frontier-gap-scan runbook) — invoke instantly, not as a cron job. Run 5 WebSearches, rate Ahead/Close/Behind, diff against the previous period, raise issues for new gaps or update existing ones, and update the report. Triggers: 'frontier scan', 'quét đối thủ', 'scout tuần', 'chúng ta thua gì', '/frontier-scan'.
Go interface design patterns: implicit interfaces, consumer-side definition, interface compliance verification, composition, the accept-interfaces-return-structs principle, and common pitfalls. Use when designing interfaces, decoupling packages, defining contracts, reviewing interface usage, or refactoring for testability. Trigger examples: "design interface", "accept interfaces return structs", "interface compliance", "consumer-side interface", "interface composition". Not for: HTTP handler patterns (go-api-design), general review (go-code-review)
Godot Expert Analyst: Anara. Visionary project scoring and certification for Godot 4.7+ architecture. Use when evaluating project health, modernity, scalability, dependency graphs, or generating Visionary Certificates. Keywords: analyst, Anara, scoring, certification, architecture audit, ResourceLoader.get_dependencies, typed Dictionary, folder-by-feature, Visionary Certificate, Godot 4.7.
Develop and optimize custom operators using AscendC programming language. Analyze operator performance bottlenecks and conduct optimization validation. Based on AscendC and CANN toolkit Use this skill when the user wants to: (1) optimize performance-critical operators on Ascend NPU, (2) develop custom operators for specific workloads, (3) improve model inference performance through operator optimization Trigger: user mentions "AscendC", "operator optimization", "custom operator", "performance", "NPU optimization", "Ascend operator", "算子优化", "自定义算子", "算子开发", "AscendC算子", "性能优化"
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. 30c5c8d (Update humanizer plugin to upstream v2.2.0)
Handle media-heavy Hotwire features: image/video/audio uploads, previews, playback controls, progress tracking, and third-party media integrations (for example WaveSurfer, Swiper, Picture-in-Picture, Blurhash). Prefer this skill when the core problem is media rendering, playback state, or media library integration. Use hwc-realtime-streaming for server-pushed Turbo Stream updates, hwc-navigation-content for non-media pagination/tab/lazy-navigation flows, hwc-forms-validation for form validation and inline-edit behavior, hwc-ux-feedback for generic loading/transition patterns, and hwc-stimulus-fundamentals for Stimulus primitives not specific to media.
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Guide for the Infisical Gateway and Relay — reaching private network resources (VPC-only databases, on-premises directories, internal APIs, HSMs) from Infisical without any inbound firewall rules. Covers the gateway/relay architecture using SSH reverse tunnels, exact ports and egress allowlist requirements (TCP 2222 to the relay, TCP 443 to Infisical, TCP 8443 platform-to-relay), deployment with `infisical gateway start` and `infisical gateway systemd`, Infisical-managed vs self-deployed relays, Gateway Pools for high availability, health checks and heartbeat intervals, and which features and App Connection types can be routed through a gateway. Use this skill when someone asks about: Infisical Gateway, relay server, accessing a private database from Infisical, dynamic secrets for a database with no public endpoint, gateway pools, or 'Infisical cannot reach my internal resource'. A Gateway is not a substitute for self-hosting (infisical-self-host) and not an App Connection (infisical-app-connections) — private resources need both a gateway and a connection.
Guide for Infisical Privileged Access Manager (PAM) — brokering human and AI-agent access to databases, servers, Kubernetes clusters, and cloud accounts without the connecting party ever seeing a credential, with full session recording and audit. Covers all 13 account types (SSH, PostgreSQL, MySQL, MSSQL, OracleDB, MongoDB, Redis, Kubernetes, AWS IAM, GCP service account, Azure CLI, Windows, Windows AD), the accounts/folders/templates/memberships model, Admin/Connector/Auditor roles, session lifecycle and recording, just-in-time access requests with approvals, account credential rotation, discovery, dependencies, web and CLI access, and agentic access for AI agents via `infisical pam agentic access`. Use this skill when someone asks about: Infisical PAM, privileged access, session recording, just-in-time database access, brokered SSH access, giving an AI agent database access safely, access requests and approvals for infrastructure, or 'how do I let someone into production without giving them the password'. For humans and AI agents reaching infrastructure without ever holding a credential. Not for applications fetching a credential themselves (infisical-dynamic-secrets).
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Quickly assess management backgrounds, incentives, capital allocation, governance quality, and potential red flags to judge whether management deserves the benefit of the doubt. Suitable for corporate governance research, long-term stock screening, and pre-research risk checks.
Extract text from images and PDFs using Mistral OCR API. Convert scanned documents to Markdown, JSON, or plain text. No external dependencies required. Use when you need OCR, extract text from images, convert PDFs to markdown, or digitize documents.
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
Enforces one app-wide GoRouter in lib/routing/ wired via MaterialApp.router, deep-linkable identity in path params never state.extra, context.go-vs-context.push discipline, redirect guards as pure functions driven by a Riverpod refreshListenable, StatefulShellRoute.indexedStack for branch-state-preserving BottomNavigationBar/NavigationRail shells, CustomTransitionPage transitions that respect reduced motion, PopScope (canPop/onPopInvokedWithResult) for unsaved-changes interception, and an errorBuilder 404 route. Use when adding routes, GoRoute, redirect, auth/onboarding gates, deep links, ShellRoute or nested navigation, bottom-nav/rail tab shells, page transitions, back-button/unsaved-changes handling, notification-payload-to-location mapping, typed routes, go_router_builder, or wiring go_router into app.dart.
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.