Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Generate videos using Wan models. Supports text-to-video, image-to-video, first+last frame, reference-based role-play, and video editing (VACE). TRIGGER when: user wants to create, generate, or edit video content, mentions video generation/animation/video clips/Wan models, or explicitly invokes this skill by name (e.g. use qwencloud-video-generation). DO NOT TRIGGER when: user wants to generate images (use qwencloud-image-generation), understand/analyze existing videos (use qwencloud-vision), text-only tasks.
Configure authentication (API keys, endpoints). TRIGGER when: setting up QWEN_API_KEY, troubleshooting 401/auth errors, when another skill reports missing credentials, or user explicitly invokes this skill by name (e.g. use qwencloud-ops-auth). DO NOT TRIGGER when: non-auth Qwen tasks, general API usage questions.
This skill should be used when the user asks to "make an animated infographic", "create an infographic video", "build an infographic animation", "animate an explainer infographic", "do a sequenced reveal of icons and stats", "animate icons with key numbers and connectors", or "lay out a designed infographic that animates in sequence". Covers infographic layout & visual hierarchy, staggered element reveals, animating icons/pictograms, key-number counters, connectors/flow, and section pacing. For heavy charting (bar chart race, charts from a CSV) use the chart-animation skill instead.
Create and manage tickets at every level — slice an initiative into epics, break an epic into stories, write or refine a ticket, and run the board (publish, ready, move, assign, status, cancel). Use when the user says "Create a new initiative", "slice this", "split this up", "break this into stories", "incept this epic", "make a ticket", "refine this ticket", "what's ready", "status of a story", "publish ticket changes".
Recall protocol for MemPalace — search the palace before answering about past work, people, projects, or prior decisions. Apply when the user asks what was decided, what happened before, who someone is, what was discussed last time, or anything that may already be filed in their memory palace; or when mempalace-recall is invoked. Complements the mempalace setup skill and requires the mempalace-mcp server.
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'
Audit TypeScript and Python tests for assertions that cannot fail or check nothing, and guide test authoring with a contract and regression gate. Use when writing or changing tests to avoid low-value coverage, or cleaning redundant, tautological, duplicated, or AI-generated tests. Cleanup runs bundled deterministic scanners; authoring guidance needs no scan during red-green TDD.
Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients
Audit and update an existing GitHub Issue tree. Use for requests such as “audit the tree” or “update the issue tree.” Receive the root tracking issue number, recursively retrieve the entire tree with the sub_issues API, then reassign open issues left under closed parents, reposition orphans, create new Phase parents, and sync phase labels. Preserve the existing root issue body, updating only the Phase tables and audit-history management blocks. For creating a new tree, see create-issue-tree; for implementing issues, see implement-issue-tree.
Build a personalised voice profile inside a Codex or Claude project from a short interview plus 3 to 5 sample pieces of writing. Works for any content format: LinkedIn posts, newsletters, essays, emails, blog posts, tweets, or any other published writing. Use this skill at the start of any project where the user wants the assistant to learn who they are and how they write before drafting new content. Trigger whenever the user says "build my voice", "learn my voice", "set up my content system", "onboard me", "train on my writing", "train on my posts", "I want Claude to sound like me", or drops a batch of writing samples into chat at the start of a project. Also trigger for first-time users who need a voice foundation before writing anything. Always produces two files (about-me.md and voice.md) saved into the project root.
Use when building React components under react/ or configuring store blocks in store/ for VTEX IO apps. Covers interfaces.json, contentSchemas.json for Site Editor, VTEX Styleguide for admin apps, and css-handles for storefront styling. Use for creating custom storefront components, admin panels, pixel apps, or any frontend development within the VTEX IO react builder ecosystem.
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). Use when the user asks to “integrate a HuggingFace model into TAO,” “add an HF model to TAO Toolkit,” “wire a HuggingFace ViT/DETR/ SegFormer into tao-pytorch,” “build a TAO trainer + deploy pipeline for an HF CV model,” or pastes a HuggingFace model URL/ID and wants it turned into a TAO model. Covers the full 7-phase loop: prerequisites check, HuggingFace inspection and validation, codebase exploration, tao-core configuration and native trainer implementation, ONNX export plus TensorRT deploy integration, packaging and L0 testing, container-based end-to-end validation, and (conditional) accuracy/latency tuning. Supports classification, object detection, semantic / instance / panoptic segmentation, zero-shot detection, and depth estimation.
Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud detection/fraud rings, agentic memory/chatbot context across sessions, recommendations, identity resolution, Gremlin/openCypher/SPARQL queries, supernodes/slow traversal, Neo4j to Neptune migration/APOC compatibility, Neptune Database vs. Analytics engine selection, PageRank/community detection, GraphRAG, and connectivity from Lambda/EC2/applications. Creates and modifies Neptune Database clusters/instances and Neptune Analytics graphs only with explicit user confirmation; blocks destructive operations (delete, reset-graph, failover, major upgrade) and redirects to change control.
Optimize an app's store listing for maximum visibility and downloads — keyword strategy, title and subtitle optimization, screenshots, preview videos, rating and review management, and A/B testing on the App Store (iOS) and Google Play (Android). Use when the user says "ASO", "app store optimization", "optimize my app listing", "improve app store ranking", "app store keywords", "app store screenshots", "app store rating", "Google Play optimization", "app visibility", "increase app downloads", "app store SEO", "app store conversion", "my app isn't getting downloads", or wants to improve how their app appears and converts in the App Store or Google Play.
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Animate objects, cameras, lights, and properties in Blender — keyframes, F-curves, easing (Bezier, Linear, Sine, Bounce, Elastic), shape keys (morph targets / blendshapes / visemes), drivers (Python expressions on properties), NLA actions for reuse and layering. Use whenever the user asks to “animate this”, “make it move / rotate / scale over time”, “add keyframes”, “loop / oscillate”, “shape key / morph / blendshape”, “visemes for lip sync”, or any time-based property change. Make sure to use this skill even if the user does not say “animate” — also covers “spin it slowly”, “make it wave”, “fade in / out”, “pulse”, “facial expression”.
Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.
Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".
Use when auditing content quality, E-E-A-T, or publish readiness; runs a typed 80-item CORE-EEAT profile with evidence coverage, veto checks, and a fix plan. Not for structural tags/headers alone — use on-page-seo-checker; not for domain/citation trust — use domain-authority-auditor. 内容质量/EEAT评分
Game asset engineer that creates pixel art sprites, animated characters, and visual entities for browser games. Use when a game needs better character art, enemy sprites, item visuals, or any upgrade from basic geometric shapes to recognizable pixel art.
Set up the initial file system for a new sandbox. Fetches the account's organizations and artists via the Recoup CLI and scaffolds the folder structure. Use when a sandbox has just been created and has no existing file system. Before running, check if the sandbox already has an orgs/ directory—if it does, this skill is not needed.
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".
Use this when you need to define acceptance criteria, write requirements, scope work, or create a definition of done for AEM Edge Delivery Services (EDS) tasks such as new blocks, variants, behavior modifications, CSS-only changes, or bug fixes. Covers analyzing development requirements, producing task breakdowns, identifying edge cases, and documenting the analysis.
Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants to "create video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT", "video QA", "chain-of-thought", "video captioning pipeline", "video distillation".
A skill for searching WeChat Official Account articles. Uses WeChat search to retrieve article lists covering Chinese-language topics such as technology/AI, social affairs, finance, education, and careers. Search by keyword and return titles, summaries, publication times, source accounts, and links. Use when users need to find WeChat Official Account articles, compile references, or quickly get article information
Surface the 20 most relevant stories in a niche from the last 7 days using available live research tools. Verified dates, real links, shareable angles. Use available browser or web search tools to inspect dated source material. Use this skill whenever the user says "research my niche", "what's trending", "find stories", "this week's news", "content research", or drops a niche and asks what's happening in it. Requires live source access for current research.
Find the mistakes agents keep repeating in this repo and make each one impossible. Try architecture first, then types, then a lint whose error names the fix, then a test, and write docs last. Prove each check fails on a real past mistake. Repeat this each time the operator corrects you. Use for /correct.
Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.
Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check. MUST use this skill whenever the user wants to produce, modify, or format a Word document — including when they say "write a report", "draft a proposal", "make a contract", "fill in this form", "reformat to match this template", or any task whose final output is a .docx file. Even if the user doesn't mention "docx" explicitly, if the task implies a printable/formal document, use this skill.
Prevent and remove generic AI-generated design defaults, incoherent visual choices, and established UI defects while creating, revising, or reviewing websites, apps, screenshots, mockups, and design code. Use as a passive quality gate during UI work or for an explicit anti-slop cleanup; preserve the chosen art direction instead of forcing a neutral redesign
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no API calls. Works with odds from any source: ESPN (American odds), Polymarket (decimal probabilities), Kalshi (integer probabilities). Use when: user asks about bet sizing, expected value, edge analysis, Kelly criterion, arbitrage, parlays, line movement, odds conversion, or comparing odds across sources. Also use when you have odds from ESPN and a prediction market price and want to evaluate whether a bet has positive expected value. Don't use when: user asks for live odds or market data — use polymarket, kalshi, or the sport-specific skill to fetch odds first, then use this skill to analyze them.
Builds and reviews Ionic Framework UI in Capacitor apps (Ionic 9 current, Ionic 8 still common) - page structure (`ion-header`/`ion-content`/`ion-footer`), lists, modern form syntax (`label`/`labelPlacement` on `ion-input`/`ion-select`), sheet modals, tabs + `ion-router-outlet`, CSS variable theming, dark palettes (`palettes/dark.system.css`, `.ion-palette-dark`), iOS vs MD mode, and Ionic 8 -> 9 breaking changes (React Router 6, Vue Router 5, Angular 18-22 zoneless, removed `ion-picker-legacy`, boolean `autocorrect`, `npx @ionic/migrate`). Use when writing Ionic components, theming an Ionic app, fixing platform-mode styling, or upgrading @ionic/react, @ionic/vue, @ionic/angular. Do not use for Konsta UI (konsta-ui), Tailwind setup (tailwind-capacitor), raw safe-area CSS (safe-area-handling), keyboard resize (capacitor-keyboard), or Ionic Appflow/Enterprise migrations (ionic-appflow-migration, ionic-enterprise-sdk-migration).
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.
Routes reverse engineering, exploitation, penetration testing, malware, mobile, firmware, browser automation, documentation, and security tasks to the appropriate specialist skill. Use when a task spans modules or the correct reverse-skill entrypoint is unclear.
Build a single sprint or release test plan. Covers feature decomposition into testable scenarios, requirements-to-test coverage mapping, effort estimation by test type, prioritization matrices (risk × effort), resource allocation, and scheduling with buffers. Use when: “sprint test plan,” “release test plan,” “what to test this sprint,” “test estimation,” “coverage mapping.” Not for: multi-quarter strategy—use `test-strategy`. Not for: ranking areas by risk—use `risk-based-testing`. Not for: the go/no-go decision itself—use `release-readiness`. Related: test-strategy, risk-based-testing, release-readiness.
Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API. Create rich-text announcements, marketing updates, and team notifications. Trigger phrases: "post to feishu", "feishu message", "lark message", "feishu webhook", "lark webhook", "send to feishu", "send to lark", "feishu bot", "lark bot", "飞书", "飞书机器人"
Use when the user wants to generate music, songs, or audio tracks. Triggers on requests involving music creation, songwriting, lyric generation, audio production, or covers. Also triggers when users provide lyrics to turn into a song or describe a mood or scene and want background music. Supports multilingual triggers—match equivalent phrases in any language. Do not use for playing existing music files, music theory questions, or music recommendations without generation.
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.