Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build Litestar responses with typed return values, explicit Response containers, layered response classes, headers, cookies, status-code control, redirects, files, streams, server-sent events, ASGI app returns, and background tasks. Use when shaping outbound HTTP behavior, correcting response contracts, or choosing the right Litestar response primitive. Do not use for request parsing, validation, or authentication policy design.
Configure Litestar stores and the store registry for caching, server-side sessions, rate limiting, and other key-value state with explicit backend selection, bytes-safe data handling, TTL and renewal policy, namespacing, registry wiring, and lifecycle cleanup. Use when a Litestar app depends on `MemoryStore`, `FileStore`, `RedisStore`, `ValkeyStore`, or `StoreRegistry`. Do not use for relational persistence, domain repositories, or response-caching policy details that belong in database or caching-focused skills.
Image OCR, text recognition, extract text from image, scan document, read image text, invoice OCR, receipt OCR, contract recognition, table extraction, business card OCR, ID recognition, screenshot text extraction, document digitization. Runs locally on Windows using the GLM-OCR model, supports mixed Chinese/English text, prioritizes Intel iGPU inference, no cloud API calls.
Set up a Markdown-based local ticket management system in a project. Create task, bug, and chapter tickets in the .local/ticket/ directory and track progress as checklists. Easy to use casually since it is not tracked by Git. Any language or framework. Use when requested: "チケットシステムを導入", "タスク管理を Markdown で", "ローカルチケット管理をセットアップ", "チケットを作成", "バグチケットを作成", "チャプターを作成", "epic を作成", "local ticket system", "setup ticket management".
Create research-backed product and technical solution plans from a user's requirement. Use when the user asks for detailed feasibility analysis, technology selection, architecture, implementation roadmap, library/vendor comparison, "解决方案", "技术方案", "产品方案", "选型", "调研分析", or a Lovstudio.ai / 手工川工作室 branded solution. Prioritize modern popular open-source DIY options over legacy libraries, from-scratch builds, commercial APIs, and commercial products.
Write multi-chapter books (technical, tutorial, monograph, etc.) end-to-end. Handles outline planning, per-chapter drafting that stays coherent across long manuscripts, chapter review, and final HTML/PDF build. Trigger when user mentions "写书", "写一本书", "出书", "技术书", "book writing", "逐章写作", "O'Reilly", "mdbook", or wants to author a multi-chapter book.
lyt-series skill for summarizing competitor and Top-store main-image samples. Use after the user provides multiple competitor main images, Top-store main images, high-selling product card screenshots, image-folder paths, links, or sample tables. Organize sample boundaries, label main-image expression patterns, summarize recurring patterns, and derive testable main-image formulas and image-revision briefs. Only summarize sample expressions and testing hypotheses; do not directly attribute clicks or conversions to the main image based on sales, rankings, or Top status. Triggers: /lyt-image-patterns, /主图样本归纳, /Top主图分析, /竞品主图分析, “总结这些主图打法”, “提炼主图公式”
lyt-series skill for diagnosing product main images and detail pages. Use after the user uploads their product main images, secondary images, long detail-page images, product page first screens, product card screenshots, competitor pages, before-and-after versions, or related business data. Assess whether the page helps users quickly understand the product, gives them reasons to click and buy, builds trust, and resolves concerns. Provide page attribution, revision priorities, and a single-variable validation plan only when the evidence is sufficient. For TikTok Shop and cross-border e-commerce product pages; not for generating detail pages from scratch, selecting products from scratch, validating product feasibility, summarizing batch patterns in Top/competitor main images, or reviewing a whole store's data. Triggers: /lyt-page-diagnosis, /商品页诊断, /主图诊断, /详情页诊断, “帮我看看这张主图”, “详情页哪里有问题”
Use this skill when the user asks to "create a changelog", "generate a changelog", "update my changelog", "fill in the changelog", "add a changelog", "CHANGELOG is missing entries", "changelog is out of date", "what's missing from my changelog", "changelog from git history", "write changelog", "release notes", or says "my project needs a CHANGELOG"
Use this skill for "format manuscript", "prepare for submission", "journal formatting", "Word", "DOCX", "reference DOCX", "LaTeX template", "submission checklist", "format references", "BibTeX", "author guidelines", "page limits", "format for Nature", "format for IEEE", or when the user wants to format a manuscript for journal submission.
Applies Material Design 3 icon guidelines using Material Symbols — Google's variable font icon system. Use this when working with icons, Material Symbols, icon sizing, icon accessibility, or when the user asks to apply Material Design 3 icon guidelines.
Applies Material Design 3 Expressive layout, spacing, and size hierarchy principles including grid systems, responsive design, and elevation. Use this when working on page layouts, spacing, grids, responsive design, or when the user asks to apply Material Design 3 layout guidelines.
Analyze the effective toolbox file set to produce a Dependency Manifest — classify all transitive dependencies as included, product, add-on, or external-unresolved, then present resolution options with tradeoffs. Use after matlab-define-toolbox-api when the spec is approved.
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
Deep single-matter briefing — current posture, what changed, next milestone, open questions and a risk re-assessment check, suited to reporting to a legal lead or preparing for an outside counsel call. Use when the user says "brief [matter]", "what's the status of this matter", or needs to get up to speed on a specific matter.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Expert guidance for building MCP (Model Context Protocol) servers using the TypeScript SDK. Use when developing MCP servers, implementing tools/resources/prompts, or working with the @modelcontextprotocol/sdk package. Covers server initialization, request handlers, Zod schemas, error handling, and JSON-RPC patterns.
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.
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.
Grade whether a change's complexity and blast radius are actually worth the benefit it delivers, using an itemized ROI receipt and rankings among solutions already raised. Use on an existing PR, a local diff, or an idea still being discussed before any code exists. Trigger on "is this worth it", "ROI on this fix", "are we overengineering this bugfix", "worth the blast radius", or when a small fix seems to be touching shared systems, adding state, or expanding scope out of proportion to what it fixes.
Use when a PMM wants to audit, test, or improve their product messaging. Trigger on: 'test our messaging', 'audit our copy', 'is our messaging working', 'message-market fit', 'messaging too generic', 'stakeholders keep changing the messaging', 'message testing sprint', 'does our messaging resonate', 'check our website copy', 'score our messaging', 'messaging by committee', 'which message angle should we use', or 'are we talking to the right persona'.
Register, update, or re-sync data sources for MFS so they become searchable — postgres / mysql / mongo / snowflake / bigquery, github / jira / linear / notion / hubspot / zendesk, slack / discord / gmail / feishu, s3 / gdrive / web / file. Use whenever the user wants to ADD a new data source to MFS, change an existing connector's config, re-ingest / re-index a source, list registered connectors, or troubleshoot a sync that's not picking up data. Trigger phrases include "add X to MFS", "ingest my [postgres/slack/github/etc]", "register this repo / database / workspace", "make X searchable", "re-sync Y", "update the slack token", "what connectors do I have". Do NOT use for: searching / finding / reading content (use `mfs-find`); raw mutation of the source itself (MFS only reads).
Design a microservices decomposition for a monolith or new system, defining service boundaries, ownership, communication patterns, and migration plan. Use when asked to decompose a monolith, define service boundaries, design a microservices architecture, or plan a strangler-fig migration. Produces a bounded context map, service inventory table, communication pattern decisions, data ownership matrix, migration roadmap, and risk register.
Creates interactive educational MicroSims, routing to the best-matched generator - p5.js, Chart.js, Plotly, Mermaid, vis-network, timelines, maps, Venn, causal-loop/feedback-loop diagrams (CLD), concept-classifier sorting quizzes, infographic overlays with callout labels, Docker Python labs (runnable code blocks), and fact-verified statistics posters (every numeric claim checked against a cited source before rendering). Generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.
Search and cite Microsoft 365 Message Center, Microsoft 365 Roadmap and Azure Updates announcements from mc.merill.net. Use when answering questions about Message Center IDs, Roadmap items, Azure updates and retirements, Microsoft 365 change announcements, rollout dates, services, or archived posts.
MiniMax spreadsheet production system. Engage for any task that involves tabular data, numeric analysis, or spreadsheet generation. Supports XLSX/XLSM/CSV through Python 3 (openpyxl + pandas) for workbook construction, formula recalculation via recalc.py (LibreOffice headless), and the MiniMaxXlsx CLI (C#/.NET) for structural validation, formula auditing, and pivot table synthesis.
Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Use this skill when the user needs to improve ad performance, reduce CPA, select bidding strategies, or allocate budget across platforms — even if they say 'our ads aren't working', 'reduce our cost per acquisition', 'Google vs Facebook ads', or 'improve our ROAS'.
Mobile-first design and engineering doctrine for iOS and Android apps. Covers touch interaction, performance, platform conventions, offline behavior, and mobile-specific decision-making. Teaches principles and constraints, not fixed layouts. Use for React Native, Flutter, or native mobile apps.
Scaffold backend features using a modular layered architecture (route → controller → service → repository) where each feature is a self-contained module. Use when creating a new API/backend feature, refactoring into a clean structure, or enforcing separation of concerns.
Molten OS Core — manage agent skills with the skills.sh CLI (`npx skills`). Use to install, add, update, upgrade, remove, list, or find skills, restore from a lockfile, or scaffold a new skill. Trigger when the user mentions skills.sh, the skills CLI, `npx skills`, or asks to add/install/update/remove/list skills.
Build live video, audio, and real-time data apps with Media over QUIC (MoQ). Use when adding live streaming, conferencing, voice AI, or real-time pub/sub to an app; when integrating the @moq/* npm packages, moq-* Rust crates, or the Python/Kotlin/Swift/Go/C/Dart bindings; or when running a moq-relay server or a gateway (RTMP, SRT, WebRTC, HLS, OBS, GStreamer, ffmpeg).
Synchronize state between players in Decentraland using CRDT networking (syncEntity), MessageBus, fetch, signedFetch, and WebSocket. Use when the user wants multiplayer, synced entities, shared world state, real-time networking, or player-to-player communication. Do NOT use for server-authoritative multiplayer with anti-cheat (see authoritative-server). Do NOT use for screen UI (see build-ui).
Guide for migrating MSBuild tasks to multithreaded mode support, including compatibility red-team review. Use this when converting tasks to thread-safe versions, implementing IMultiThreadableTask, adding TaskEnvironment support, or auditing migrations for behavioral compatibility.
Interact with Narrative Lion — generate notes from YouTube, search your knowledge base, chat with notes, produce AI video shot pipelines, generate short-form video scripts, and export. Use when the user wants to "create a note from this video", "search my notes", "chat with my notes", "create a filmwork project", "generate a reel/short script", or "export my notes".
Negotiate job offers and produce an Offer Negotiation Pack (success-conditions asks, tradeoff matrix, negotiation strategy, scripts, optional contract/part-time proposal). Use for salary negotiation, equity negotiation, offer negotiation, comp negotiation. Category: Career.
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.