Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Create and edit Omni Analytics semantic model definitions—views, topics, dimensions, measures, relationships, query views, composite topics, and aggregate tables (materialized_query)—using YAML through the Omni CLI. Use this skill whenever someone wants to add a field, create a new dimension or measure, define a topic, set up joins between tables, modify the data model, build a new view, add a calculated field, create a relationship, edit YAML, work on a branch, promote model changes, or any variant of "model this data", "add this metric", "create a view for", or "set up a join between". Also use for migrating modeling patterns, since Omni's YAML is conceptually similar to other semantic layer definitions. For the data itself, such as a label or computed column on each row of a result, use omni-query; this skill is for requests that name a field, measure, or other part of the model.
Assess SSL/TLS server configurations using the sslyze Python scanning library to evaluate supported protocol versions, cipher suite strength, certificate chain validation, HSTS enforcement, OCSP stapling, and known vulnerabilities such as Heartbleed and ROBOT. Use when conducting a security assessment of a server's TLS configuration or verifying remediation of cipher/certificate weaknesses.
Enforces Flutter/Dart project scaffolding where the layout makes defects greppable — a single-package app by default (feature-first under lib/features/, shared foundation split by role in core/ data/ services/ routing/ theme/ l10n/, a thin main.dart that calls bootstrap(), no lib/src in the app), extracting a generically-named pure-Dart package only when a body of logic earns it (public barrel over private lib/src/ for PACKAGES only, meta-only deps as the compile firewall, resolution:workspace member, downward-only dependency DAG), with pubspec treated as the audit artifact and no utils/helpers/common/misc/grab-bag-shared junk-drawer folders. Use when creating any .dart file or directory, deciding where a repository/Notifier/MethodChannel/value-type/token belongs, authoring or fixing a pubspec.yaml, adding a workspace member, writing an import directive, mirroring a test under test/, or reviewing a diff for organisation.
Search, validate, and save cloud drive resources via PanSou aggregation API and local Quark desktop APP integration. Use when the user wants to find and download resources from cloud drives (网盘资源搜索下载), especially when they mention keywords like “搜资源”, “找片”, “下载”, “网盘”, “夸克”, “quark”, “panso”, or “盘搜”. Requires Quark desktop APP running and logged in with membership.
Video title generation and saving workflow. Use when the user asks for a title for a finished or planned video, especially Douyin/Xiaohongshu video titles, 视频标题.md, the same directory as the finished video, common patterns in benchmark titles, two-part titles, titles based on the video topic, titles after rewriting, or replacing generic dbs-xhs-title for video titles. It first identifies the actual video theme, studies benchmark title patterns when provided, generates 8–12 theme-first, two-part candidates, recommends/selects one, and writes 视频标题.md next to the final MP4 when requested.
Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API, using intent-ranked web results and parsed page content as the retrieval/ingestion layer for an LLM or vector store. Use when the user wants to “build a RAG pipeline,” “add web search to my LLM/agent,” “ground my model in live web data,” “build a search engine over the web,” “ingest web content into a vector DB / knowledge base,” or “give my chatbot retrieval.” Covers both live retrieval (Discover at query time as a web-grounded retriever) and ingestion (Discover → chunk → embed → vector store → retrieve). Built on the `discover-api` skill. For a one-off written report use `live-research`; for raw markdown of specific known URLs use `scrape`.
Use Rozenite for Agents to inspect React Native DevTools data and Rozenite plugins on a live app target, either through shell-driven `rozenite agent` commands or programmatic `@rozenite/agent-sdk` usage. Trigger this skill for any task that needs live app inspection, debugging, or plugin interaction through Rozenite.
Expert sales enablement strategist for building high-performing sales teams. Use when designing sales training programs, onboarding and ramp plans, sales playbooks, coaching frameworks, certification programs, or competitive intelligence distribution. Covers content strategy, tool adoption, performance measurement, and continuous learning systems. Use for building sales academies, creating enablement content, and optimizing sales productivity.
Test security features and verify implementation before deployment. Use this skill when you need to test CSRF protection, rate limiting, input validation, verify security headers, run security audits, or check the pre-deployment security checklist. Triggers include “test security,” “security testing,” “verify security,” “security checklist,” “pre-deployment,” “test CSRF,” “test rate limit,” “security verification”
GLSL shader development: ray marching, SDF modeling, fluid simulation, particle systems, procedural generation, lighting, and post-processing. Official MiniMax skill for creating real-time visual effects in WebGL and creative coding contexts (ShaderToy-compatible techniques).
Render, preview, validate, and burn consistent production subtitles from QC-passed real-timestamp caption artifacts. Use for AI-video production, washed-video production, IndexTTS2 explainers, practical long-form videos, talking-head edits, Kimi-style dark rounded captions, warm-white translucent captions, subtitle styling, subtitle overlays, or fixing caption size, position, shadow, drift, and 4K scaling. Always pair with ra-audio-to-subtitles when final word timestamps do not already exist.
When the user needs to build a LinkedIn authority system, create a social content strategy, define content pillars, write posts, or establish thought leadership positioning. Activate on “LinkedIn strategy,” “content pillars,” “what should I post,” or “build my personal brand”
De-risk product decisions with UX research: method choice, study design, findings synthesis and research operations (interviews, usability tests, surveys, research repository and consent practice), backed by a library of reference guides and templates.
Turn SRT subtitles into whiteboard hand-drawn animation on a warm beige paper background: read subtitles → output illustration strategy → after confirmation generate unified-style line art → annotate regions by narrative semantics → adjust in preview panel → render MP4. The orchestration reuses regional mask reveal (annotation.json / sequence / startMs / protectedRegions), but the strokes within each region are replaced by the stream's continuous handwriting (skeleton/grid ink→color). Triggered when the user provides SRT subtitles and requests "subtitles into whiteboard hand-drawn/streaming handwriting video", "generate whiteboard animation from SRT", or "draw hand-drawn storyboards by subtitle".
Score the PATH an agent took (tool choice, ordering, retries, repeatability, grounding) — not just its final answer — to catch "corrupt success" (right answer via a bad/unsafe path) and flakiness. Deterministic trace schema + pass^k repeatability + config-driven rule checks (forbidden tool, out-of-order, retry-storm, excessive steps, edited-without-read grounding). Parses canonical traces.json, hooklib.audit / code-logger events.jsonl, OR a full Claude Code session transcript (--transcript, richest source: recovers retrieval args + observation + per- step ok). Trigger when the user says "grade the trajectory", "score the path not the answer", "did it cheat / take a bad path", "did it look before it acted / grounding", "corrupt success", "is this flaky / does it repeat", "pass^k", "grade a session transcript", "trace grader", or invokes /trace-grader.
Tushare is a professional financial data platform offering A-share market quotes, historical K-lines, financial data, macroeconomic data, index data, and more, with broad coverage and high data quality. Use when users mention Tushare, retrieving A-share data, querying financial statements, downloading macroeconomic data, or needing high-quality, multidimensional financial data. Unlike baostock (free but limited) and jqdatasdk (registration required with a points threshold), tushare offers the most comprehensive data but requires registration to obtain a Token. Free alternatives include baostock or akshare.
Advanced TypeScript patterns for strict mode development. Covers type utilities (Pick, Omit, Partial, Record, Awaited), generics with constraints and inference, type guards and narrowing, discriminated unions, conditional and mapped types, template literal types, const assertions, the satisfies operator, module patterns, and modern JavaScript idioms (eslint-plugin-unicorn). Use when building type-safe APIs, preventing runtime errors through types, working with strict TypeScript configuration, debugging complex type errors, or enforcing modern JS idioms. Use for generics, type guards, utility types, strict mode, type inference, narrowing, type safety, const assertions, satisfies, module augmentation, unicorn, for-of, modern-js
Use this skill when users need to search across multiple platforms, including GitHub (repositories, code, issues), Reddit (posts, subreddits, users), Xiaohongshu, Douyin, Bilibili, YouTube, Twitter, WeChat (official account articles), Google, Tavily, Metaso Search, Volcano Engine, and general search engines (DuckDuckGo, Brave, Yahoo, Bing, Wikipedia, Anna's Archive), or download images from 18 image platforms (Baidu, Bing, Google, Pixabay, Unsplash, Volcano Engine, and others). Provides a unified search interface with structured output formats, result filtering and sorting, automatic response archiving, and batch image downloads with metadata preserved.
Local user-profile maintenance skill for Codex, Claude Code, OpenClaw, OpenCode, and other agent harnesses. Use only when the user explicitly invokes $user-profile-keeper to create, initialize, update, query, correct, delete, export, or audit a local persistent user profile. It can extract durable collaboration preferences, requirement-expression habits, capability boundaries, recurring omissions, risk preferences, privacy boundaries, and typical events from the current session into auditable, confirmable, retractable local profile data. Do not auto-invoke, upload profile data, or replace task-clarifier's normal clarification flow
Provides structured guidance for Vant of Vue 3.0. Use when the user needs Vant with Vue 3, asks about mobile UI components such as Button, Cell, Form, Dialog, Toast, Popup, ConfigProvider, theme customization, project setup, or wants to implement mobile-first interfaces with vant or van- components.
Implement on-chain encryption using vetKeys (verifiable encrypted threshold key derivation). Covers key derivation, IBE encryption/decryption, transport keys, and access control. Use when adding encryption, decryption, on-chain privacy, vetKeys, or identity-based encryption to a canister. Do NOT use for authentication — use internet-identity instead.
Edit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/<endpoint>` through the local RunComfy CLI. Triggers on "video edit", "edit video", "restyle video", "swap video background", "motion control", "outfit swap video", or any explicit ask to transform a video.
Run a structured 5-pass finishing audit on any website before launch, scoring visual polish, technical foundation, UX completeness, content quality, and cross-device readiness out of 100. Use for: pre-launch final validation; post-redesign checks; client handoff proof of readiness; quarterly reviews to catch accumulated debt; or a single-pass focus, such as running only Pass 2 after a performance sprint
Use WeChat on macOS Apple Silicon or Windows x64: query sessions, contacts and history, listen for messages, and send authorized text. Select the host-specific backend first. Windows has a standalone experimental CLI/MCP package with no system Python requirement; macOS uses the managed WeChat 4.1.9 clone and supports HTTP Bridge/Wechaty.
Complete Windows file path troubleshooting knowledge for Claude Code on Git Bash and Windows environments. PROACTIVELY activate for: (1) file path errors on Windows, (2) backslash vs forward slash issues, (3) Edit/Write/Read tool failures, (4) MINGW path resolution, (5) cross-platform path conversion, (6) MSYS_NO_PATHCONV usage, (7) double-slash escape patterns (//c/foo), (8) UNC and long path limits, (9) WSL vs native Windows interop. Provides: path-conversion rules, troubleshooting flowchart, MSYS env-var recipes, double-slash escape patterns, and Windows file-operation best practices.
Generates wireframes from natural language descriptions, outputting machine-readable JSON (.wireframe.json) and a self-contained interactive HTML preview with drag-and-drop reordering and undo/redo. Needs Python 3 and a browser, no design tool accounts.
Onboard a repository to agent-driven development by creating or refreshing a complete AGENTS.md or CLAUDE.md through behavior-focused discovery, structured interviewing, drift-aware updates, conflict-aware synthesis, proportional updates, and preview-before-write review. Use when the user wants to create, replace, refresh, import, restructure, append to, dry-run, or review AGENTS.md or CLAUDE.md guidance, mentions agent behavior, instructions, guardrails, workflow, Claude Code conventions, package-level agent files, or monorepo inheritance, or asks how to tell an AI coding agent how to behave in a project. Also use it when the user wants behavior rules kept separate from `openspec/config.yml` or `openspec/config.yaml` project DNA. Do not use it for OpenSpec config onboarding, architecture docs, or one-line AGENTS.md or CLAUDE.md edits that do not require discovery, synthesis, or section-level review.
Preview, submit, inspect, and manage Alpaca paper-trading orders across US equities, options, and crypto. Use this skill when you want your AI agent to take a strategy signal — from a backtest, manual idea, or automated system — and execute it safely in your Alpaca paper-trading environment. This generic version works with any Alpaca SDK, REST API call, or agent tool that can reach the Trading API.
Plan and create Amazon Sponsored Products campaigns end-to-end via the Hyper MCP. Use when the user wants to launch Amazon Ads, set up Sponsored Products, manage keyword targeting and bids, configure ASIN or category product targeting, add negative keywords, automate budget rules, analyze ACoS / ROAS, or generate Sponsored Products reports. Also triggers on amazon ppc, amazon campaign, amazon keywords, or amazon report
AscendC operator end-to-end development orchestrator. Use when the user needs to develop a new operator, implement a custom operator, or complete the full process from requirements to testing. Keywords: operator development, end-to-end, complete process, workflow orchestration, create a new operator.
Server-side authentication primitives for TanStack Start: session cookies (HttpOnly, Secure, SameSite, __Host- prefix), session read/issue/destroy via createServerFn and middleware, OAuth authorization-code flow with state and PKCE, password-reset enumeration defense, CSRF for non-GET RPCs, rate limiting auth endpoints, and session rotation on privilege change. Pairs with router-core/auth-and-guards for the routing side.
Optional, advanced pipeline between Blockbench and Adobe Substance 3D (Designer, Painter and the Substance Automation Toolkit command lines). Use only when the user has Substance installed and asks for it — render .sbsar procedural materials to Blockbench-sized PBR maps with sbsrender, cook .sbs graphs with sbscooker, bake AO/curvature/normal/position/ID maps from a Blockbench export with substance3d_baker, drive Substance 3D Painter over its remote-scripting HTTP API to paint a Blockbench model and export Bedrock MER or glTF maps, and pack results into texture_set.json. Triggers on Substance, Substance 3D, Substance Designer, Substance Painter, SAT, Substance Automation Toolkit, sbsar, .sbs, sbsrender, sbscooker, sbsmutator, sbsupdater, sbsbaker, substance3d_baker, pysbs, bake AO for Blockbench, Painter export to Blockbench. Not needed for ordinary painting, generated textures or derived normal maps.
Audit NFR evidence for performance, security, reliability, and maintainability. Use when implementation evidence exists and the user says "audit NFR evidence", "audit NFRs", or "evaluate non-functional requirements"
This skill should be used when the user asks to "migrate to Buildkite", "convert pipelines from Jenkins", "convert GitHub Actions workflows", "convert CircleCI config", "convert Bitbucket Pipelines", "convert GitLab CI", "migrate CI/CD to Buildkite", "switch from Jenkins to Buildkite", "move from GitHub Actions", "plan a CI migration", "convert my CI config", "bk pipeline convert", or "what's the Buildkite equivalent of". Also use when the user mentions migration planning, CI conversion, pipeline conversion, converting workflows, or asks about translating CI/CD configuration from another provider to Buildkite.
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.