Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Manage flow lifecycle — publish, test, batch operations, and inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows. Inventories page large environment lists and state which environments were covered.
Pre-publication manuscript audit producing a section-level refactoring report with citation hygiene and submission-readiness checks. Triggers on: "review my paper", "check before submission", "is this ready to submit", "pre-pub checklist", "refactor my paper", "check my references", "does the abstract work"
Expert-level microservices architecture, patterns, service mesh, and distributed systems. Use when the user mentions distributed systems, service mesh, or architecture, or when the task involves Microservices Principles, Architecture Patterns, Communication, or Data Management.
Use when reviewing ML system design docs, ML/AI project repos, design-doc PRs, RAG/LLM/foundation-model architectures, agentic AI workflows, or production ML readiness. Applies the ML System Design framework by Kravchenko and Babushkin to grade designs, compare docs with code, find critical gaps and low-hanging fruit, and give specific non-cringy praise.
Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.
AI notary for real estate law, inheritance, gifts, family law, and corporate law in France. Legal copilot for preparing deeds, wealth planning advice, fee calculations, and compliance checks. Covers notary fee calculations (DMTO, emoluments, disbursements, CSI), real estate capital gains, inheritance and gift taxes, split ownership, marriage contracts, PACS, SCI, and drafting deed projects (preliminary agreements, articles of association, wills). Triggers: notaire, frais de notaire, acte de vente, compromis, succession, donation, héritage, testament, PACS, contrat de mariage, SCI, plus-value immobilière, droits de mutation, DMTO, usufruit, nue-propriété, partage successoral, réserve héréditaire, viager, donation-partage, PER, plan épargne retraite, assurance-vie succession, diagnostics immobilier, droit de préemption, acte notarié, droit immobilier
Notion API integration with managed OAuth. Query databases, create and update pages, manage blocks. Use this skill when users want to interact with Notion workspaces, databases, or pages. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
This skill provides comprehensive guidance for using OpenCode, the open-source AI coding agent. Use this skill when working with OpenCode CLI commands, keyboard shortcuts, agents (build/plan), slash commands, tools, skills, MCP servers, or configuration. Automatically triggered when OpenCode-specific questions or tasks are detected.
Build and govern the token + library foundation of a Penpot design system: primitive/semantic/component token tiers, themes (light/dark), and inferring a token system from an existing hardcoded design. Use BEFORE building components or screens, or when a design has raw values that should become tokens. Triggers: 'set up design tokens', 'create a token system', 'build the design system foundation', 'add dark mode tokens', 'infer tokens from this design', 'tokenize this file', 'create semantic tokens', 'apply tokens to these shapes'.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Designs social-platform-native visuals (Feed, Story, Reel, Carousel formats) for Instagram, TikTok, Facebook, Pinterest, RedNote, LinkedIn, X/Twitter and other social platforms — with platform-correct dimensions, safe zones, industry visual DNA, engagement hooks, and cross-slide consistency. Use when the user says "social post", "Instagram post", "IG post", "TikTok post", "Facebook post", "Pinterest pin", "social carousel", "feed post", "story post", "make a post", "design a social visual", "社媒帖", "做一个社媒图", or any underspecified social-media visual request. Routed from `product-shots` for the organic-social branch (non-ad).
Bridges asset requirements from motion design specs to production-ready assets. Parses specs for required assets, recommends free/paid sources, provides format conversion guidance, generates validated import code, and offers asset preparation checklists. Use when preparing assets for Remotion projects or when asked "where to get assets", "how to prepare assets", "asset formats for Remotion".
Performs deep codebase analysis to generate 11 comprehensive documentation files. Adapts output based on the selected route -- Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical implementation (tech-prescriptive). Step 2 of 6 in reverse engineering. Use when asked to reverse engineer the codebase, extract business logic, or generate comprehensive documentation.
Review an existing web app and report what is actually wrong with it—security holes checked against the OWASP Top 10, search and AI discoverability that has drifted out of date, and anything the app claims that it no longer does. Use when the user asks to review, audit, or check an app; wants a security review or vulnerability check of a whole codebase rather than a diff; asks whether their sitemap, robots.txt, or llms.txt are still correct; or suspects their landing page, docs, or privacy policy have fallen behind the product. Reviews the app as it stands today, not a pull request or a build sheet, so it catches what was already wrong before the current branch. Read-only by default; gathers evidence once, runs independent lenses over it in parallel, re-checks anything uncertain with a command, and names every check it could not perform rather than implying it passed
Check the evidence, biases, alternative explanations, and reporting limits required by research conclusions before execution or submission. Use when the user asks “审我的研究设计”, “当严格审稿人”, “攻击这个结论”, or requests the rw-research-referee workflow. Runs without a private local workspace or preset research lab; use user-provided material and bundled public-source methods
Create Claude skills from book content (markdown files). Transforms long-form book knowledge into structured, context-efficient skill packages with granular reference files, workflows, and use-case guidelines. Use this skill when: - Converting a book (markdown) into a reusable Claude skill - Creating knowledge bases from technical books, guides, or documentation - Building skills that need progressive disclosure of large content - Structuring book knowledge for efficient context loading
Generates professional infographics with various layout types and visual styles. Analyzes content, recommends layout and style, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".
Playwriting for banqiang-system Chinese opera (板腔体：京剧、豫剧、越剧、秦腔、评剧、沪剧、淮剧、川剧弹戏), where sung passages are paired seven- or ten-character lines varied by metre (板式) rather than filled into fixed tune patterns. Covers genre (唱工戏／做工戏／武戏), the main line, technical structure and 排场, how 行当 and a named star decide the writing, 程式, lyric craft (唱词：上下句、重点句、垛句、辙口), 宾白 and the sung/spoken seam, duets, what the writer marks on the page (Peking-opera vs Yue-opera style), the interface with actors and musicians, restoring old plays, and three contemporary routes including 现代戏. Sources; 范钧宏、翁偶虹、刘吉典、樊尚林、张庚郭汉城、罗怀臻、陆军, plus full scripts (锁麟囊／沙家浜／白蛇传／朝阳沟／潘金莲). Use when writing or revising 唱词, choosing 板式, writing for a performer or role-type, adapting a traditional play, writing a 现代戏, judging a project's genre, marking 锣鼓, or drawing the boundary before general dramaturgy skills apply. Not for 元杂剧/传奇/昆曲, which are the qupai system; see sw-chinese-opera-qupai.
Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills. Handles both high-level requests (“build me a voice AI assistant”) and specific ones (“integrate ConversationRelay with my OpenAI backend”).
List, select, and install Volcengine skills from the volcengine-skills marketplace. Use when a user asks which Volcengine skill or plugin handles a task, wants to browse every available skill, needs an optional skill that is not currently installed, or asks to install or check the installation status of a Volcengine skill. Also use to discover any core skill, including this finder. Use as a fallback during a Volcengine operation when the currently loaded or installed skills cannot cover the required product, tool, or workflow; inspect the full catalog, select the missing capability, and install it.
Use when deploying a local project or codebase to Zeabur. Use when the user says "deploy this", "deploy to Zeabur", "deploy from GitHub", "search my repos", or "find my repository". Default to direct deploy unless the user explicitly asks for Git-based deployment.
Creates user-specific one-click action templates that execute email operations when clicked in the chat interface. Use when the user wants reusable actions for their specific workflows (send payment reminders to ACME Corp, forward bugs to engineering, archive old newsletters from specific sources)
Use when migrating frontend code from manual API client calls (`api.get`, `api.create`, `api.surveys.get`, `api.dashboards.list`, `new ApiRequest()`) and handwritten TypeScript interfaces to generated API functions and types. Triggers on files importing from `lib/api`, files with `api.get<`, `api.create<`, `api.<entity>.<method>`, manual interface definitions that duplicate backend serializers, or any frontend file that constructs API URLs by hand. Covers the full replacement workflow: finding the generated equivalent, swapping imports, adapting call sites, and removing dead manual types.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Design partition schemes, select partition keys, create GSI, and write SQL for PolarDB-X 2.0 Enterprise Edition AUTO mode databases, handling PolarDB-X vs MySQL differences (partitioned tables, GSI, CCI, Sequence, table groups, TTL, pagination, etc.). Use when designing partition schemes, selecting partition keys, converting single tables to partitioned tables, creating GSI/CCI indexes, writing or migrating SQL for PolarDB-X, or diagnosing slow queries on PolarDB-X. Triggers: "PolarDB-X SQL", "PolarDB-X create table", "partitioned table", "partition design", "partition scheme", "partition key", "GSI", "CCI", "Sequence", "MySQL migrate to PolarDB-X", "PolarDB-X compatibility", "single table to partitioned table", "convert to partitioned table", "large table", "table sharding", "distributed table", "AUTO mode", "pagination query", "Keyset pagination", "Range partition", "auto add partition", "PolarDB-X slow query", "full-shard scan"
Manage Alibaba Cloud ESA — deploy HTML/static sites via Pages, manage Edge Routines (ER) for serverless edge functions, use Edge KV for distributed key-value storage, handle site management, DNS records, cache rules, and query traffic analytics via OpenAPI/SDK. Use when working with ESA, edge deployment, edge functions, Pages, ER, KV storage, DNS, cache, site configuration, traffic analytics, bandwidth trends, or top-N rankings
Use when debugging 'file not syncing', 'CloudKit error', 'sync conflict', 'iCloud upload failed', 'ubiquitous item error', 'data not appearing on other devices', 'CKError', 'quota exceeded' - systematic iCloud sync diagnostics for both CloudKit and iCloud Drive
Use when writing raw SQL queries with GRDB, complex joins, ValueObservation for reactive queries, DatabaseMigrator patterns, query profiling under performance pressure, or dropping down from SQLiteData for performance - direct SQLite access for iOS/macOS
Use when integrating ANY iOS system feature - Siri, Shortcuts, widgets, IAP, camera, photo library, audio, ShazamKit, haptics, localization, privacy, alarms, calendar, reminders, contacts. Covers App Intents, WidgetKit, StoreKit, AVFoundation, ShazamKit, Core Haptics, Spotlight, EventKit, Contacts
Use when needing Vision framework API details for hand/body pose, segmentation, text recognition, barcode detection, document scanning, or Visual Intelligence integration. Covers VNRequest types, coordinate conversion, DataScannerViewController, RecognizeDocumentsRequest, SemanticContentDescriptor, IntentValueQuery
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.