Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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deps.dev API v3 package metadata lookup. Covers version discovery, default/latest version, deprecation and project-status flags, resolved requirements/dependency graphs, URL encoding. Use when querying package versions, checking latest releases, detecting deprecated versions, or looking up dependency metadata via the deps.dev API. Keywords: deps.dev, api.deps.dev, package versions.
Guide for building DHIS2 custom applications using the DHIS2 App Platform. Use this skill whenever the user wants to create, scaffold, or bootstrap a DHIS2 app, run or start a DHIS2 app, build for production or deploy, fetch data from the DHIS2 API, work with aggregate data, tracker data, metadata, or analytics, write mutations, or handle version differences across DHIS2 instances. Also use it when the user mentions DHIS2, d2, dhis2 app platform, or any DHIS2-specific terminology — even if they don't explicitly say "DHIS2 app."
The art and science of creating AI-powered digital presenters, avatars, and synthetic spokespersons. This skill covers HeyGen, Synthesia, D-ID, Tavus, and the emerging landscape of photorealistic AI humans that can speak any script in any language. Digital humans aren't replacing human presenters—they're enabling scale that humans can't achieve. A product demo in 50 languages. Personalized video messages for thousands of customers. 24/7 customer support with a friendly face. Training videos that can be updated without reshoots. The practitioners of this skill understand both the power and the responsibility. They know when digital humans enhance experiences and when they feel uncanny. They navigate the ethics of synthetic media thoughtfully. They create AI presenters that feel helpful, not deceptive. Use when "digital human, AI avatar, AI presenter, HeyGen, Synthesia, D-ID, Tavus, synthetic, talking head AI, AI spokesperson, personalized video, video at scale, multilingual video, AI actor, digital-humans, avatar, ai-presenter, synthesia, heygen, d-id, synthetic-media, personalization, multilingual" mentioned.
When the user wants to build digital twins, simulate supply chain operations, or create virtual replicas for testing. Also use when the user mentions "digital twin," "simulation modeling," "discrete event simulation," "system simulation," "virtual supply chain," "what-if analysis," "scenario simulation," or "operational testing." For network optimization, see network-design. For forecasting, see demand-forecasting.
Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when: searching library documentation, finding framework guides, looking up API references.
Manage the Grounded Docs MCP Server documentation index. Covers scraping and indexing documentation from URLs or local files, refreshing existing indexes with changed content, removing library versions from the index, and compacting the SQLite store. Use when you need to add, update, or delete indexed documentation, or reclaim disk space after removals.
**[REQUIRED]** For **ALL** document/file extraction, parsing, or processing tasks with Snowflake Cortex AI. Use when: extracting data from PDFs, parsing documents/files, processing invoices/contracts/reports, analyzing charts/blueprints, building document pipelines, reading files from stage, OCR tasks. Triggers: - Documents: document extraction, parse document, documents in stage, docs, paperwork, papers, pages, forms, sheets - Files: file extraction, parse file, files in stage, process files, read PDF, attachments, uploads, assets, blobs, objects, artifacts, staged files, uploaded files - Formats: PDFs, Word docs, Excel files, spreadsheets, slides, presentations, images, scans, screenshots, scanned documents - Business docs: invoices, receipts, bills, statements, quotes, purchase orders, POs, contracts, agreements, policies, claims, reports, manuals, guides, specs, datasheets, applications, certificates, licenses, letters, memos, proposals, work orders, medical scans, lab results, prescriptions, medical records, patient records, healthcare documents, clinical notes, discharge summaries, insurance claims, EOBs, radiology reports, pathology reports - Actions: extract from file, extract info, get data from, pull info from, read text from, OCR, digitize, scrape, capture data, analyze these, parse these - Functions: AI_EXTRACT, AI_PARSE_DOCUMENT, AI_COMPLETE, document AI
Create, audit, or consolidate durable project documentation, including feature rules, contracts, workflows, and runbooks. Use when documentation is the main deliverable; routine code changes can update their owning docs directly.
Convert draw.io diagram files (.drawio, .dio, .xml) to high-resolution PNG images. Use when users ask to "convert drawio to png", "export drawio diagrams", "generate png from drawio", "drawio导出png", "转换drawio图片", "生成高清drawio图片", or need to convert draw.io files to image format for documentation, presentations, or publishing.
Drupal contrib module upgrade triage — Drupal.org issue queue research, local patch creation (git diff), composer-patches workflows, Drupal 11 compatibility via core_version_requirement, Drupal Lenient handling, and upgrade_status analysis. Not for generic Composer dependency management.
Run a design system multi-point inspection — assess a design system across 10 stations (coverage, best practices, accessibility, shared language, testing, orchestration, governance, feedback, machine-readable docs, agent access) and produce a red/yellow/green inspection report with a prioritized work order. Use when the user asks to inspect, assess, audit, or health-check their design system, run the inspection or a specific station, or asks "why is my design system's check engine light on?"
A mental model that takes Duan Yongping's philosophy of benfen (staying true to one's role) and value investing wisdom as its perspective. Use when the user explicitly asks for this figure's perspective, mentions "duanyongping-perspective", or wants to apply its core method to analyze a problem; do not trigger automatically for general questions.
Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash code, managing sandbox lifecycle (create, pause, resume, kill, list, connect), monitoring metrics (CPU, memory, disk), handling lifecycle events, uploading/downloading files, streaming command output, environment variable management, and integrating LLMs with code execution capabilities.
Modern CSS layout patterns for premium web experiences. Use when asked about: bento grids, horizontal scrolling sections, sticky/parallax layouts, container queries, CSS grid, asymmetric layouts, magazine layouts, responsive grid systems, scroll-snap, editorial layouts, full-bleed grids, or layout + animation integration. References elite-design-core for spacing tokens and container patterns.
Emotional description in Chinese web fiction (show don't tell). Use when the user wants to turn sentences that plainly state emotions such as "我很心疼/我好痛苦/他很愤怒" into vivid description, wants readers to feel the emotion themselves, finds the emotion too plain/empty/without immersion, or needs to write emotional scenes such as painful twists/moving/tension. Portray emotion through expressions/actions/physiological reactions/subtext rather than stating it.
Deploy an Encore.ts or Encore.go app to Encore Cloud by pushing to the Encore git remote or a linked GitHub repository, deploy changes again, and fix deploys that fail or never start. Covers which environments a push deploys to and secrets per environment. For linking an app first, see `encore-link-app`.
Power systems engineering covering grid modeling, power flow analysis, energy storage dispatch, demand response, and electricity market economics. Spans transmission/distribution planning to real-time operations. Use when "power flow|load flow|grid model, energy storage|battery dispatch|ESS, demand response|load management|peak shaving, electricity market|LMP|locational marginal price, grid stability|frequency|voltage, capacity planning|resource adequacy, unit commitment|economic dispatch, transmission|distribution|power system, " mentioned.
Expanding Chinese web-novel manuscripts. Use when the user wants to turn an outline/chapter outline into full text, expand a chapter, continue with the next chapter, turn a synopsis into scenes, or "write 3,000 words following this detailed outline". Produces publish-ready web-novel text matching the platform's word count and pacing while keeping characterizations and foreshadowing consistent.
Pre-submission checklist for iOS App Store and Google Play Store. Use this skill whenever the user mentions: app store submission, app store rejection, pre-submission checklist, app review, store guidelines, privacy manifest, data safety section, app permissions, usage descriptions, privacy policy, LGPD, GDPR, data protection, mobile app security check, or any mention of preparing an app for publication in iOS or Android stores. Also trigger when the user asks about app permissions, data collection, or privacy requirements for mobile apps.
Convene a council of AI coding agents before finalizing a plan. The agent you're talking to — whichever CLI is the lead (claude, codex, cursor, gemini, grok, opencode) — drafts a plan, presents it independently to every other agent CLI installed on the machine, each member gives ONE reply per turn, and the lead revises the plan for X turns before answering. Trigger words: council, convene the council, consult the other agents, ask the council, ask codex/cursor/gemini/grok what they think, second opinion from other agents, N turns of deliberation, deliberate before planning.
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.