Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Document accessibility decisions and the reasoning behind them so they survive team changes, redesigns, and time. Use when making accessibility tradeoffs, choosing between approaches, or when a decision needs to be recorded for future reference. Triggers on: accessibility decision, why did we, tradeoff, decision record, ADR, architecture decision, accessibility rationale, why is it like this, document the decision, decision log.
Extract a single Figma component (or any node) as a full recursive tree to N levels deep — every child's layout, fills/strokes/effects, typography, resolved bound variables (token names + code syntax), INSTANCE mainComponent references, prototype reactions, and annotations. Use when you need maximum-fidelity data to generate production code for ONE component — triggers: 'get the full component tree', 'deep extract this component', 'give me everything about this node for code gen', 'resolve all the tokens in this component', 'what instances does this component nest', 'extract reactions/prototype links', 'high-fidelity component spec'. Resolves bound variables to token names on ANY plan. Far deeper than the native MCP's get_design_context / get_metadata.
Generate correct code for whole-slide image (WSI) analysis using TIAToolbox and foundation models (H-optimus-0, UNI, Prov-GigaPath). Triggers on requests involving whole-slide images, WSI, digital pathology, histopathology, SVS/NDPI/pyramidal TIFF, tissue segmentation, patch extraction, stain normalization, H-optimus-0, TIAToolbox, CAMELYON16/17, SlideGraph, MIL aggregation, HoVer-Net, PanNuke, or SageMaker deployment of pathology models. Produces deterministic commands and Python snippets for slide-info inspection, tissue masking, tile extraction at specified mpp, foundation-model feature embedding, slide-level aggregation, and regulated cloud inference.
Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.
This skill should be used when the user needs to convert documents between formats (Office to PDF, PDF to images, image to PDF), perform PDF operations (merge, split, rotate, encrypt, decrypt), or run OCR on scanned documents. Uses local free tools — LibreOffice, ghostscript, pdftk, tesseract, and imagemagick — with no API key required. Trigger when the user says "convert this document", "export to PDF", "merge PDFs", "split PDF", "rotate PDF", "OCR this scan", "convert PPTX to PDF", "convert DOCX to PDF", or any document format conversion request.
Primary router skill for broad .NET work. Classify the repo by app model and cross-cutting concern first, then switch to the narrowest matching .NET skill instead of staying at a generic layer. USE FOR: general .NET requests without a narrower framework; C# implementation, debugging, review, or refactoring; routing to framework and tooling skills. DO NOT USE FOR: unrelated stacks; tasks already covered by a narrower .NET skill. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
Get a rigorous read-only second opinion on finished work through the host's available reviewer capabilities, preferably from a different model provider. Falls back to a fresh same-provider agent only when necessary and labels the reduced independence. Every review includes a mandatory scope-fidelity check against the original requirements — unrequested additions, unrequested removals, and deleted or weakened tests. Use when asked to double-check, verify, cross-check, or get a second opinion, and before shipping high-stakes or complex work.
Excel template filling skill based on Alibaba EasyExcel (com.alibaba:easyexcel:4.0.3). Covers simple object filling, list filling ({.}+forceNewRow), horizontal multi-column combination filling (FillWrapper+WriteDirectionEnum.HORIZONTAL), complex filling (with total rows/statistics rows, fill then write), Spring Boot integration, template design conventions, escape characters, differences between 03 and 07 formats, and performance optimization (batched fill, file caching). Use this skill when the user needs to fill Java objects or Map data into a pre-made .xlsx template (variable syntax {var}, {.}, {prefix.}) to generate reports (payslips/contracts/statements/invoices/financial statements/statistics tables/summary tables); not for "programmatically generating Excel" scenarios that don't use a template (use easyexcel-write instead).
Prepares a complete EB-1A (extraordinary ability, E11) self-petition package in a local case folder — free evaluation against all ten 8 CFR 204.5(h)(3) criteria from a Google Scholar profile or CV, evidence checklist and citation pipeline, the Kazarian two-step Petition Letter with a Final Merits section, support letters, the intent-to-continue-work statement, an I-140 field guide, filing-package assembly, and a full RFE/NOID response workflow (including for petitions filed elsewhere). Use when the user mentions EB-1A, EB-1, extraordinary ability, E11, I-140 self-petition, RFE response, Request for Evidence, NOID, 补件, 杰出人才, 杰出人才绿卡, or preparing a U.S. green-card petition from their research record. Document preparation only, not legal advice.
This skill should be used when the user asks to "edit an image", "modify a photo", "inpaint", "outpaint", "extend an image", "replace object in image", "add element to image", "resize image for social media", "crop image", "adapt image for Twitter", "convert image to OG format", or needs AI-powered image editing with masks.
Provides comprehensive guidance for Elasticsearch including indexing, mappings, query DSL, aggregations, analyzers, cluster management, and ELK Stack integration. Use when the user asks about Elasticsearch, needs to implement search functionality, work with Elasticsearch queries, or manage Elasticsearch clusters.
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs
Provides comprehensive guidance for Express.js framework including routing, middleware, request handling, templating, and API development. Use when the user asks about Express, needs to create Express applications, set up routes, implement middleware, or build REST APIs.
Build and debug Fabric.so HTTP or TypeScript SDK integrations for resources, search, uploads, and developer memory bases. Use for explicit Fabric.so API work; use fabric-cli for terminal operations. Not Microsoft Fabric, Python Fabric SSH, Fabric.js, or the unrelated Fabric prompt framework.
Structures the human review experience for factory-mode builds with dashboard-style audit trail summaries (slice counts, rework rates, gate failure distribution), PR digests (per merged PR with gate results), retrospective synthesis (recurring rework causes, pair effectiveness, domain hotspots), quality trend tracking (session-over-session comparison), escalation review (rework history with resolve/override/send-back options), and autonomy tuning interface. Use during Phase 3 human review of factory-mode builds or when assessing autonomous build quality. Triggers on: "review the build", "factory review", "audit trail", "quality trends", "escalation review", "PR digest", "autonomy tuning", "rework rate". NOT for: running the pipeline (use pipeline), individual code reviews (use code-review).
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
Complete fal.ai text-to-video system. PROACTIVELY activate for: (1) Kling 2.0/2.5/2.6 Pro video generation, (2) Sora 2 for creative videos, (3) LTX Video with audio, (4) Runway Gen-3 Turbo for fast iteration, (5) Luma Dream Machine, (6) Video duration and aspect ratio, (7) Motion prompt engineering, (8) Camera movement keywords. Provides: Model endpoints, quality tiers, prompt structure, duration options. Ensures cinematic video generation with proper motion description.
Train custom AI models (LoRA) on fal.ai — personalize image generation for specific people, styles, objects, or video generation. Use when the user requests "Train model", "Train LoRA", "Fine-tune", "Custom model", "Train on my images", "Portrait training".
Banuba Face AR SDK skill for three use cases: sales, developer documentation, and integration workflows. Use when working on anything Face AR: capability and compliance questions (sales), documentation lookup, CV concepts, and troubleshooting (dev), and building Web integrations such as AR masks, face filters, beautification, virtual background, and AR Cloud (integration). Trigger with "Face AR", "AR mask", "face filter", "virtual background", "AR makeup", "beautification", "face landmarks", "AR Cloud", "can the SDK", "how does", "explain", "add", "set up", "integrate", "build". Web, Android, iOS, Desktop (C++), Flutter and React Native have full code generation support. macOS gets the GitHub sample + code assistance. Unity gets the sample link only. For Video/Photo Editor SDK use build-video-editor, build-photo-editor, or explain-video-editor-photo-editor-docs.
Apply when deciding, designing, or implementing FastStore component overrides in src/components/overrides/. Covers getOverriddenSection API, component replacement, props overriding, and custom section creation. Use for any FastStore storefront customization beyond theming that requires changing component behavior or structure.
Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, LinuxDo/IDCFlare/Discourse, Feishu/Lark, KDocs, FlowUs, Youdao Note, Zhihu, Bilibili (with subtitle transcription), Xiaoyuzhou podcasts, Ximalaya podcasts, Telegram, HackerNews, Medium, Reddit, Weibo, Douyin, Zsxq (Knowledge Planet), RSS, 300+ paywall news sites, and any web page. Use when user provides a URL and wants its content extracted.
Build, edit, and deploy Salesforce Data Capture Flows (processType DataCaptureFlow) — Field Service mobile / offline forms. Use when authoring flow-meta.xml with runtime_service_fieldservice:dc* components, Repeater loops (.AllItems), master-detail child record persistence, visual polish (gradient banners, progress bars, callouts), supporting objects with FLS/permsets, debugging DataCaptureFlow deploy errors, or troubleshooting why a deployed form doesn't appear on the FSL Mobile Forms tab (DDC/WorkPlan OWD + AssignedResource sharing prerequisites).
Derive a Field Service mobile app color scheme from a brand source (URL, hex codes, brand-guide paste, or color description), validate WCAG AA contrast in both light and dark mode, and apply the 14-field scheme to the org-default FieldServiceMobileSettings record. Trigger phrases include 'brand the mobile app', 'apply branding to Field Service mobile', 'update the mobile app colors', 'use this brand guide for the app', 'set the color scheme for the mobile app'. Do NOT use this skill for Dispatcher console / Gantt branding, Experience Cloud BrandingSet records, or scheduling policy colors — out of scope.
Set up Voice to Form on Field Service Mobile end-to-end against a Salesforce org, covering both variants: Voice to Record Edit (voice-fills any record-edit screen) and Voice to Form Data Capture (voice-fills Discovery Framework / Data Capture forms). Discovers existing DC forms and asks which to enable, hands off to fs-data-capture-form-deployer to create them if none exist, assigns every permission a mobile user needs, and walks the admin through the Einstein generative AI base setup. TRIGGER when the user asks to enable, configure, install, or set up Voice to Form, V2F, Voice to Record Edit, V2RE, the microphone on the mobile app, or voice-fill on Field Service Mobile. DO NOT TRIGGER when the user wants Pre-Work Brief, wants to author a brand-new Data Capture form, or wants to build a generic Agentforce agent.
Use when the user says 'figma to divi', 'build this figma design in divi', or hands over a Figma frame to rebuild in WordPress on a Divi site. Maps the Figma node tree to native Divi sections, rows, columns and modules (Divi 5 blocks or Divi 4 shortcodes, auto-detected) and writes to a draft, so nothing live is touched.
Use this skill to locate Compose semantics nodes from a UI test using `onNodeWithTag`, `onNodeWithText`, `onNodeWithContentDescription`, `onAllNodes*`, and `onRoot`. Covers the count contract (single-node finders fail on 0 or >1 matches; collection finders never throw on 0), the merged-vs-unmerged tree distinction, and why tagging in production beats text-matching from tests. Use when the developer reports "no node matched", "multiple nodes matched", "tag not found", "useUnmergedTree", "Modifier.testTag", or asks how to find a Button/Text/Icon in a Compose test. If the developer mentions onNodeWithText, onNodeWithTag, onNodeWithContentDescription, onAllNodesWithTag, onRoot, or merged tree vs unmerged tree, use this skill.
Use when completing work on a feature branch, preparing to merge, or cleaning up after development is done. Triggers: branch work is complete, user says "merge", "create PR", "finish branch", "done with this branch", ready for code review.
A portable, framework-agnostic architecture style for any React or React Native frontend. Organizes apps into feature modules with page/screen directories, a strict server-state vs UI-state split, barrel-only cross-module imports, co-located styles, and clear component-promotion rules.
Create distinctive, production-grade web frontend interfaces with high design quality. Use when the user explicitly asks to build or substantially redesign a web component, page, or application. Only applies when repository inspection confirms that the visual surface is a browser-rendered web UI. Do not use for native or GPU-rendered graphics, shaders, games, terminal UIs, or other non-web visual systems. Ignore incidental mentions and traces.
Invoke when the user needs to plan a development sprint, break down tasks, schedule game work, or organize a sprint with cross-discipline dependencies. Triggers on: "sprint plan", "task breakdown", "development planning", "scheduling", "sprint backlog". Do NOT invoke for scope evaluation (use game-scope-check) or retrospectives (use game-retrospective). Part of the AlterLab GameForge collection.
Git Context Controller (GCC) v2 — Lean agent memory backed by real git. Stores hash + intent + optional decision notes instead of verbose markdown. Auto-bridges to aiyoucli vector memory when available. Dual mode: git-backed (lean index.yaml) or standalone (markdown fallback). Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.
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.