Skills
100,344 packaged capabilities and playbooks for agents. Install any of them with one command.
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Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detect frameworks, configure database adapters, set up route handlers, add OAuth providers, and create auth UI pages. Use when users want to add login, sign-up, or authentication to a new or existing project with Better Auth.
Distill a real boss into an AI skill, or generate a boss skill from a famous entrepreneur archetype such as Elon Musk, Steve Jobs, Jeff Bezos, or Jensen Huang, or build a persona from free public sources (papers, GitHub, Wikipedia) for a mentor or PI. Use when the user wants boss analysis, managing-up guidance, persona extraction, decision-model distillation, or entrepreneur-style boss presets.
Use when starting a new Spring Boot 4 project — scaffolding a service, REST API, or modular backend; picking an architecture (layered, package-by-module, modular-monolith, tomato, DDD-hexagonal); selecting Spring Boot 4 features; or applying the bundled templates and references in this skill. Not for migrating existing projects or for isolated JPA/repository work without broader project-creation context.
Generate a compact five-tier strategy portfolio when the next task is choosing among materially different paths. Implicitly invoke for explicit requests for options, alternatives, trade-offs, reframing, or help escaping repeated failure. A name-only or meta mention does not authorize the portfolio route. Do not activate for direct implementation, single-answer advice, skill analysis/tuning, repository-evidence opportunity mining, or detailed planning ($plan).
Full-funnel Conversion Rate Optimization (CRO) for SaaS and web apps. Covers page CRO, form optimization, signup flow, onboarding activation, popup/modal design, and paywall/upgrade screens. Use when optimizing any part of the conversion funnel.
Reference skill for building production-ready crw integrations. Covers verb selection, call surfaces (CLI/MCP/REST), post-filtering strategies, context-window hygiene, Hybrid RAG patterns, common pitfalls, and crw-specific operational considerations (search backend limits, renderer pool, proxy rotation). Load this when writing application code that embeds crw, designing a multi-step agent workflow, or debugging an integration that isn't behaving as expected.
Crawl an entire website or section and extract content from every page. Use when you need content from many pages under a common URL prefix: "crawl the whole site", "get all docs pages", "scrape every blog post", "download the full docs for RAG", "extract all pages under /api". Async BFS — starts a job and polls for results. Step 4 of the crw workflow ladder.
Coming from Firecrawl? Switch to fastCRW in one line. Use when the user has existing Firecrawl SDK code (firecrawl-py, firecrawl-js, REST calls, or an MCP config) and wants to point it at fastCRW — managed or self-hosted. Covers the exact base_url swap, which endpoints are drop-in, which have gaps, and how to verify the switch worked.
Stand up your own fastCRW API server — single binary, Docker, or docker-compose with a bundled search-backend sidecar. Use when the user wants to run crw locally or on their own infra, configure renderers/proxies/ auth/LLM extraction, or understand the embedded vs proxy MCP modes.
Generate diagrams from declarative text using D2 - modern text-to-diagram language with automatic layouts, themes, and advanced styling. Use when creating architecture diagrams, flowcharts, decision trees, workflow diagrams, sequence flows, or ERDs from text definitions.
Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews. Use when the user wants to set up a structured daily routine, morning briefings, evening reflection prompts, or weekly planning sessions. Triggers include requests for daily schedules, morning briefs, wind-down routines, sleep reminders, weekly reviews, productivity systems, or daily planning automation.
Write and review decision memos for product, strategy, pricing, launch, growth, design, marketplace, operations, platform, and investment choices. Use when a team needs a clear recommendation, options, tradeoffs, evidence, assumptions, risks, decision owner, reversible/irreversible classification, success metrics, and follow-up plan instead of open-ended discussion.
Build a compile-ready LaTeX Beamer deck for an academic talk — conference presentation, seminar/colloquium, invited talk, job talk, thesis defense, or a lecture. Use whenever the user wants actual Beamer code for a presentation: "make me Beamer slides", "turn this paper/section into Beamer", "write the .tex for my conference talk", "I need slides for my seminar", "build lecture slides in Beamer", "generate a Beamer deck from these results". Works in two phases — first a per-slide spec, then compile-ready .tex. For deciding the talk's narrative, pacing, and what to cut, use research-talk-planner first (this skill renders that plan into Beamer). For proposals/progress reports in Beamer use deck-beamer-proposal-report; for PowerPoint/Canva business decks use deck-business-report.
Recover the original logic from code protected by a virtualization obfuscator — VMProtect, Themida/WinLicense, Code Virtualizer, or a custom opcode VM — by locating the VM dispatcher, reverse-engineering the handlers into semantics, extracting the virtual bytecode, and lifting it to a simplified IR with Triton, miasm, or VTIL-based tools. Use when a function became a giant fetch-decode-dispatch loop, when analysis shows a handler table instead of normal code, or after unpacking reveals a virtualized core.
Usare ogni volta che si scrive, modifica, rifattorizza, corregge o revisiona codice in un progetto di Dido, anche per poche righe e su qualunque stack (backend, frontend, script, configurazione, infrastruttura), e quando Dido chiede di analizzare o controllare un repo, un modulo o una cartella ("analizza il repo", "controlla che sia tutto ok", "trova bug").
Explore, analyze, plan, or spec features for the Apify MCP server. Adapts to what the user asks — from quick code exploration to full GitHub issue specs. Use when the user asks to explore code, understand behavior, plan a change, design a feature, or create an issue spec.
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch-strategy. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
Move Django performance-sensitive Python loops into database-side computation with annotations, aggregates, filtered aggregates, F expressions, functions, Subquery, OuterRef, Exists, Window expressions, db_default, and GeneratedField. Use when Django code counts, sums, filters, flags, ranks, or derives values in Python after fetching rows.
Model, migrate, refresh, and verify PostgreSQL materialized views in Django for expensive report or dashboard queries that can tolerate stale data. Use when ORM/index/query rewrites are not enough, the result is read often, freshness can be bounded, and a Django app needs unmanaged models, RunSQL migrations, refresh commands, or concurrent refresh.
Improve Django and Django REST Framework pagination for large querysets using bounded page sizes, stable ordering, indexed ordering, offset limits, keyset pagination, DRF CursorPagination, and count-query tradeoffs. Use when list pages, admin views, APIs, exports, or infinite scroll become slow, inconsistent, or memory-heavy as result sets grow.
Read and compare Django/PostgreSQL query execution plans using QuerySet.explain(), EXPLAIN, EXPLAIN ANALYZE, scan types, joins, estimates, actual timing, buffers, and row counts. Use when one SQL query dominates Django latency or when an index, ORM rewrite, pagination change, or materialized view needs proof from a query plan.
Find the Django ORM code and request path responsible for slow SQL by using APM traces, slow query logs, Django Debug Toolbar, query logging, and local reproduction. Use when a Django database performance issue is suspected but the exact queryset, view, serializer, template, or job causing it is not yet proven.
Use this skill for intelligent document processing and content extraction using LandingAI's Agentic Document Extraction (ADE). Trigger when users need to (1) Parse documents (PDFs, images, spreadsheets, presentations) into structured Markdown with layout understanding, (2) Extract specific structured data from documents using schemas (invoice fields, form data, table data, etc.), (3) Classify and separate multi-document batches by type (invoices vs receipts, statements vs forms, etc.), (4) Process large documents asynchronously (up to 1GB/1000 pages), (5) Get visual grounding (bounding boxes, page numbers) for extracted content — use when users mention bounding boxes, word locations, grounding, highlighting extracted content, or showing where data appears in a document. Use this skill when the task involves understanding document content for a set of documents. In particular this skill can help you write code that run on sets of documents. This will increase speed, and reduce the cost of loading the documents on the Agent context window because you can use a single script to extract the information needed.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
A specialized skill for .NET unit testing fundamentals and the FIRST principles. Use when you need to create unit tests, understand testing fundamentals, learn the 3A Pattern, or master testing best practices. Covers the FIRST principles, the AAA Pattern, Fact/Theory, the test pyramid, and more. Make sure to use this skill whenever the user mentions unit testing fundamentals, FIRST principles, AAA/3A pattern, or wants to learn how to write basic .NET tests, even if they don't explicitly ask for fundamentals guidance. Keywords: unit test, 單元測試, unit testing, test fundamentals, 測試基礎, FIRST principle, FIRST 原則, 3A pattern, AAA pattern, Arrange Act Assert, Fact, Theory, InlineData, 如何寫測試, testing best practices, 建立單元測試
Douyin live-streaming methodology. Use for: (1) planning live scripts and minute-by-minute talk-tracks (creating urgency, closing, retention), (2) diagnosing concurrent viewers, watch time and conversion data against the traffic recommendation algorithm, (3) e-commerce product selection and sequencing. Douyin live-streaming methodology: scripted talk-tracks, algorithm-informed data diagnostics, and e-commerce product sequencing.
Douyin account video batch downloader — enter a Douyin ID and it automatically pulls all works of the account and resolves watermark-free download links, supporting one-click batch download to local storage. Use cases: breaking down and frame-by-frame studying competitor account content, saving all works of a favorite creator to avoid deletion, batch transferring material for secondary editing, saving your own account's works as local backup against loss, stockpiling course/tutorial videos for offline repeated viewing, providing watermark-free source files when a client requires them, and quickly pulling a partner's works for due-diligence analysis before collaboration. Trigger words: Douyin homepage download, Douyin video download, Douyin batch download, Douyin watermark-free download, download Douyin works, Douyin account video extraction, Douyin video saving, Douyin watermark removal, Douyin video backup, competitor video download.
Create 80/20-style unique selling propositions, guarantees, and result-based offers. Use when positioning an offer, strengthening a value proposition, raising prices, creating a guarantee, or making a sales promise more specific and credible.
Development workflow, debugging, and troubleshooting for Electrobun desktop applications. This skill covers debugging the main process (Bun) and webview processes, Chrome DevTools integration, console logging strategies, error handling, performance profiling, memory leak detection, build error troubleshooting, common runtime errors, development environment setup, hot reload configuration, source maps, breakpoint debugging, network inspection, WebView debugging on different platforms, native module debugging, and systematic debugging approaches. Use when encountering build failures, runtime errors, crashes, performance issues, debugging RPC communication, inspecting webview DOM, profiling CPU/memory usage, troubleshooting platform-specific issues, or setting up development workflow. Triggers include "debug", "error", "crash", "troubleshoot", "DevTools", "inspect", "breakpoint", "profiling", "performance issue", "build error", "not working", or "logging".
Helps users integrate and use element-ai-vue components to build AI chat interfaces, Markdown rendering, code highlighting, typewriter effects and other AI interaction features. Triggers when the user mentions AI chat, conversation interfaces, Markdown display, code highlighting, chain of thought, message bubbles, file upload in chat, or any specific component name of element-ai-vue (such as ElAMarkdown, ElABubble, ElASender, ElAThinking, ElATypewriter, etc.). Also use this skill when the user is working in the element-ai-vue project itself and wants to add or modify components. Make sure to proactively use this skill whenever the user mentions any need related to AI conversation, chat interfaces, typewriter effects, Markdown rendering, or display of the thinking process.
ElevenLabs AI music generation - create original music from text prompts via inference.sh CLI. Capabilities: text-to-music, custom duration up to 10 minutes, genre/mood/instrument control, royalty-free commercial use. Use for: background music, soundtracks, jingles, podcasts, video scores, game audio. Triggers: elevenlabs music, eleven labs music, ai music, generate music, music generation, compose music, ai composer, create song, soundtrack, background music, jingle, elevenlabs compose, music ai
Agent-callable ElevenLabs tools — generate spoken audio from text, create sound effects and multi-speaker dialogue, re-voice and clean up audio, transcribe audio and video, design synthetic voices, and manage voices, history, and quota. Use when the user mentions ElevenLabs or wants AI audio work — text to speech, narration, voiceover, transcription, voice changing, or sound design — even if they don't name ElevenLabs explicitly, e.g. "read this aloud", "make an MP3 of this", "transcribe this recording".
Email invoice processor. Filter invoice emails from a mailbox by date range, download PDF/image attachments (including downloads via links), extract invoice fields, and generate an Excel summary with one sheet per buyer. Use this skill when the user needs to process invoices, organize invoices, or extract invoices from email.
Write a complete automated email sequence, every email fully drafted: welcome sequence for new subscribers, ongoing nurture rotation, conversion sequence for an offer, or launch sequence for something new. Use when the user says 'write my welcome emails', 'set up a drip campaign', 'I'm launching X and need emails', 'nurture my list', 'write a sales email sequence', or connects a lead magnet to follow-up — even if they don't know which sequence type they need. Produces a sequence map (per-email purpose and send-day) plus full drafts: subject line, preview text, body, and one CTA per email.
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.