Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Story structure for screenplays and stage plays (故事结构) — merged from Syd Field's paradigm and plot points, Blake Snyder's Save the Cat beat sheet and board, Robert McKee's Story (event/scene/sequence/act, inciting incident, progressive complications, crisis-climax-resolution, subplots, story triangle), Julian Hoxter's nine-beat model, Neill Hicks' three acts as attraction/anticipation/satisfaction, and Lu Jun's Chinese short-play structure (凤头猪肚豹尾, 起承转合, eight openings, eight endings, 入戏要快/脉络要清/高潮要高/转变要顺/变化要多). Use when outlining a script, placing plot points and midpoint, fixing a saggy second act, designing an opening or ending, diagnosing "nothing happens", choosing between linear and non-linear designs, or converting a premise into beats and cards.
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
Implements and debugs browser Web Neural Network API integrations in JavaScript or TypeScript web apps. Use when adding navigator.ml checks, MLContext creation, MLGraphBuilder flows, device selection, tensor dispatch and readback, or explicit fallback paths to ONNX Runtime Web or other local runtimes. Don't use for model training, server-side ML inference, or cloud AI APIs.
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
Use this skill when writing Ruby gems following Andrew Kane's proven patterns and philosophy. It applies when creating new Ruby gems, refactoring existing gems, designing gem APIs, or when clean, minimal, production-ready Ruby library code is needed. Triggers on requests like "create a gem", "write a Ruby library", "design a gem API", or mentions of Andrew Kane's style.
Expert patterns for 2D/3D camera control including smooth following (lerp, position_smoothing), camera shake (trauma system), screen shake with frequency parameters, deadzone/drag for platformers, look-ahead prediction, and camera transitions. Use for player cameras, cinematic sequences, or multi-camera systems. Trigger keywords: Camera2D, Camera3D, SpringArm3D, position_smoothing, camera_shake, trauma_system, look_ahead, drag_margin, camera_limits, camera_transition
Initiating-coverage report framework — five-step workflow to generate an institutional-grade coverage initiation report: ① company overview ② industry positioning ③ financial modelling ④ valuation analysis ⑤ investment conclusion. Covers business description, competitive advantages, financial health, valuation multiples, price target, and risk factors. Triggers: "首次覆盖", "初始覆盖", "覆盖报告", "研报框架", "投资报告", "建立覆盖", "首次評級", "初始覆蓋", "覆蓋報告", "建立覆蓋", "initiate coverage", "coverage initiation", "first coverage", "equity research report", "investment report", "initiating coverage", "research initiation", "NVDA initiate coverage".
Event-driven investment strategy — identify and analyse corporate events (M&A, spinoffs, buybacks, index rebalancing, lockup expiry) that create pricing dislocations. Framework: event identification → sentiment scoring → historical price reaction → position sizing. Uses Longbridge news / filings / calendar data as signal inputs. Triggers: "事件驱动", "并购套利", "指数调整", "解禁套利", "事件策略", "公司事件策略", "事件投资", "套利机会", "事件驅動", "並購套利", "指數調整", "解禁套利", "事件策略", "公司事件策略", "event-driven", "event strategy", "merger arbitrage", "index rebalancing", "lockup expiry", "event investing", "corporate event trading", "special situation", "spinoff", "buyback catalyst".
Machine-learning prediction strategy framework via Longbridge Securities — walk-forward rolling training with feature engineering (MACD, RSI, Bollinger Band width, volume change rate) and a scikit-learn classifier (Random Forest / Gradient Boosting); retrains every 60 days, predicts 5-day direction probability; evaluates win rate, profit factor, and Sharpe ratio. For reference only — not investment advice. Triggers: "machine learning", "ML strategy", "predictive model", "random forest", "gradient boosting", "walk-forward", "rolling training", "feature engineering", "scikit-learn", "XGBoost".
Quarterly and annual operating data for listed companies via Longbridge Securities — revenue, net income, EPS, ROE, gross margin, and other KPIs broken down by reporting period. Complements longbridge-fundamental with period-by-period trend detail. Note: currently returns data for HK-listed stocks only; US and A-share symbols return empty results. Triggers: "operating data", "quarterly financials", "operating indicators", "quarterly revenue", "quarterly profit", "financial trend by period", "700.HK operating".
Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".
Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers "is my stock becoming relatively cheaper or more expensive vs peers?" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: "valuation rank", "industry rank history", "PE rank trend", "relative valuation rank", "sector ranking over time", "how does AAPL rank in industry PE".
Creates evidence-based learning plans that maximize long-term retention through spaced repetition, retrieval practice, interleaving, and elaboration. Guides through goal definition, material breakdown, review scheduling, and progress tracking. Use when long-term knowledge retention is needed, studying for exams or certifications, learning new job skills or technology, mastering substantial material, combating forgetting, or when user mentions studying, memorizing, learning plans, spaced repetition, flashcards, active recall, or durable learning
Plan and grow an email newsletter. Use when the user says "newsletter strategy", "grow my newsletter", "newsletter content", "email newsletter", "subscriber growth", "newsletter monetization", "Substack strategy", "Beehiiv", or asks about building, growing, or monetizing a newsletter.
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube). Covers content creation, content pillars, hook formulas, repurposing across platforms, platform-optimized graphics/visuals, content calendar, engagement strategy, analytics/ROI analysis, AI-powered content generation, and scheduling best practices. Use for: social media content, LinkedIn post, Twitter thread, Instagram reels, TikTok, content calendar, social scheduling, engagement strategy, social analytics, social media ROI, content repurposing, social graphics, thumbnails, captions, hashtags, viral content, content creator, social media manager, AI content generation, social media audit.
Zig compiler skill for systems programming. Use when compiling Zig programs, selecting optimization modes, using zig cc as a C compiler, reading Zig error messages, or understanding Zig's compilation model. Activates on queries about zig build-exe, zig build-lib, optimize modes, ReleaseSafe, ReleaseFast, ReleaseSmall, zig cc, zig ast-check, or Zig compilation errors.
Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when the user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Runs a structured brand intake interview and then conducts web research to build a comprehensive brand context document. Use this whenever the user says they're working on a new client, wants to build brand context, or says "run brand intake", "conduct brand research" or "build brand context for [brand]". Also trigger when the user starts a creative strategy workflow for a brand that doesn't yet have a context document in the project. This must run BEFORE any Creative Strategy Engine, Hook Writing, or other execution work — it is the prerequisite context layer for all downstream creative strategy.
Analyzes your recent Codex chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
EIDE (Embedded IDE) project build tool for scanning .eide/eide.yml projects, listing build configurations (ConfigName), running build/rebuild/clean, and parsing build logs. Returns artifact paths that can be reused by jlink/openocd. Triggers automatically when users mention EIDE, Embedded IDE, eide.yml, unify_builder, the VS Code EIDE extension, or Cl.eide; also supports explicit /eide calls. Trigger this skill whenever the context involves an EIDE embedded project, even if the user only says "compile with EIDE" or "flash the board with EIDE".
Full-stack form handling for Inertia Rails: create, edit, delete, multi-step wizard, and file upload forms with validation errors and progress tracking. React examples inline; Vue and Svelte equivalents in references. Use when building any form, handling file uploads, multi-step forms, client-side validation, or wiring form submission to Rails controllers. NEVER react-hook-form. Use `<Form>` for simple forms, useForm for dynamic/programmatic control.
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Investment idea generation — systematically surfaces new investment opportunities by combining quantitative screening (low valuation / high momentum / improving fundamentals), thematic research (sector trends / policy catalysts), and pattern recognition (historical analogues), producing a long/short candidate list. Triggers: "投资想法", "选股灵感", "投资机会", "找股票", "发掘机会", "多头机会", "空头机会", "主题投资", "投資想法", "選股靈感", "投資機會", "找股票", "多頭機會", "空頭機會", "主題投資", "investment ideas", "stock ideas", "investment opportunities", "idea generation", "long ideas", "short ideas", "thematic investing", "stock discovery", "find me stocks", "what should I buy".
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
Applies pragmatic OOP, SOLID, object-design rules, and design patterns to NestJS and TypeScript code. Use when writing or refactoring controllers, providers, use cases, entities, value objects, repositories, adapters, factories, strategies, handlers, or tests; when diagnosing god services, primitive obsession, inheritance misuse, duplicated conditionals, or leaky abstractions; and when selecting a pattern without over-engineering. Do not use for pure functional codebases or non-NestJS frontend work. When other skills also apply, reconcile ownership before mutation.
Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.
Run a full technical and on-page SEO audit on any website or page. Use when the user says "audit my site", "SEO check", "technical SEO review", "site health", "check my SEO", "what's wrong with my site", or provides a URL and asks for SEO feedback.
Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.
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.