Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
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Review frontend UI for design quality, consistency, and taste. Use when the user asks to review, QA, audit, or check the design/UI/UX of a page, component, or app. Captures screenshots, extracts the project's design system, applies opinionated taste rules, and produces a severity-ranked report with file references and fix suggestions.
Unified design skill for ALL design work — websites, apps, presentations, animations, prototypes, infographics, branding. Creates or updates DESIGN.md (Google format) when establishing or changing the project's visual identity. Routes to cinematic-ui or practical engines based on task. This skill MUST be used for any design task. MUST trigger on: 設計, design, 原型, prototype, PPT, 投影片, slides, 動畫, animation, 簡報, deck, landing page, website, UI, mockup, MP4, GIF, infographic, branding, logo, 評審, critique, film-inspired, cinematic.
Mechanical implementation invariants for frontend design: token architecture, typography hierarchy, loading order, FOUT prevention, chrome stability, motion timing, color semantics. Use with design when building components, pages, or design systems.
Generates desktop browser workflow documentation by exploring the app's codebase, then walking through the live app with the user step-by-step via Playwright to co-author verifications. Use when the user says "generate desktop workflows", "create desktop workflows", "update desktop workflows", or "generate browser workflows".
Converts desktop workflow markdown into a self-contained Playwright test project with authentication scaffolding and CI workflow. Use when the user says "convert desktop workflows to playwright", "translate desktop workflows to CI", "generate desktop playwright tests", or wants to promote desktop workflows to automated CI tests.
Deploys and operates Falco with the modern eBPF driver in Kubernetes and Docker, covering driver selection, Helm installation, output channels, and the built-in ruleset that detects container escape, namespace abuse, privileged mounts, and anomalous syscalls. Use when standing Falco up on a cluster, choosing between the eBPF and kernel-module drivers, routing Falco alerts into a SIEM or Falcosidekick, or upgrading an existing deployment. Keywords: Falco, modern_ebpf, kernel module, Helm, Falcosidekick, runtime security, syscall. Do not use for authoring individual escape rules - use detecting-container-escape-with-falco-rules.
Design and audit developer tools, APIs, SDKs, CLIs, libraries, platforms, dashboards, docs, examples, onboarding, quickstarts, pricing, usage limits, telemetry, changelogs, support, and community growth. Use when building developer-facing products, improving developer experience, launching APIs/SDKs, or reviewing docs-to-activation funnels.
Use when facing 2+ independent tasks without a written plan, with no conflicting shared mutable state or sequential dependencies, where parallel delegation beats inline cost; otherwise inline. Planned tasks use subagent-driven-development.
This skill should be used when the user asks to "set up unfold admin", "django admin", "customize admin", "admin dashboard", "htmx admin", "unfold theme", or mentions Django admin customization, admin dashboards, or Unfold configuration. Provides Unfold admin patterns with 1-admin-per-file organization and HTMX customization.
Create an Architecture Decision Record (ADR) - Layer 5 of the SDD flow, documenting one architecture decision with Context-Decision-Consequences. Use after BDD when an architectural choice needs recording. Single-document authoring primitive; for end-to-end or batch generation the autopilot (`doc-adr-autopilot`) drives this skill.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
When the user wants to optimize dock door assignments, schedule truck arrivals, or minimize yard congestion. Also use when the user mentions "dock scheduling," "door assignment," "yard management," "truck scheduling," "cross-dock optimization," or "appointment scheduling." For cross-docking operations, see cross-docking. For yard management, see yard-management.
Docker containerization. Covers Dockerfile, images, and best practices. Use for containerizing applications. USE WHEN: user mentions "dockerfile", "docker build", "docker run", "containerize", "docker image", "multi-stage build", asks about "how to dockerize", "container security", "docker optimization", "image size", "docker layers" DO NOT USE FOR: docker-compose multi-service setups - use `docker-compose` skill instead, Kubernetes orchestration - use `kubernetes` skill instead
Create a Dockerfile for the current project to deploy with haloy. Use when the user says "dockerize", "create a Dockerfile", "containerize my app", "make this deployable", or "prepare for haloy". This skill creates optimized, production-ready Dockerfiles without docker-compose. Not for multi-container setups requiring docker-compose, local development environments with multiple services, or Kubernetes manifests.
Generates and updates README.md and API reference docs by reading your codebase's functions, routes, types, schemas, and architecture. Uses graphify to build a knowledge graph first, then writes accurate docs from it. Use when asked to write docs, generate a README, document an API, update stale docs, create an API reference from code, add an architecture section, or document a project in any language. Trigger when a user says their docs are missing, outdated, or wants to document their codebase without writing it manually.
Use when the user wants to generate technical documentation for ADVPL/TLPP code on TOTVS Protheus -- Protheus.doc header blocks (@type, @param, @return, @author, @since, @history), complete routine documentation (tables read/written, MV_* parameters, entry points, execution flow, dependencies), or REST API endpoint documentation (path/query parameters, request/response JSON, status codes). Also triggers on Portuguese phrasing like "documentar rotina", "gerar cabecalho Protheus.doc", "documentar endpoint", "documentar API REST", or requests to add documentation to legacy/undocumented code.
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
Fetches the DORA metrics Deployment Frequency and Lead Time for Changes, per project and per repo, from the provider's API (GitHub, GitLab, Bitbucket, or Azure DevOps — not local git). Use this skill whenever the user asks to run or update the DORA metrics, measure the deployment frequency or lead time of a project (e.g. "Example Project"), generate the biweekly metrics report, or asks how many deploys a project made or how long a change takes to reach production — regardless of which of the four providers the project's repos live on. Also trigger on phrases like: "run the DORA metrics", "metrics for Example Project", "deployment frequency for [project]", "lead time for [project]", "biweekly metrics report", "how many deploys did we do this sprint", "add a GitLab/Bitbucket/Azure DevOps project to the DORA metrics"
Review an Apache Doris PR from a local clone with the same multi-agent, shared-ledger convergence workflow as the CI Code Review Runner. Use when the user supplies a PR to `/doris-repo-review`, asks to review a Doris PR locally, or asks for the CI-style review flow. Safely align only the current worktree to the exact PR head, refuse to disturb tracked local changes, write equivalent English and Chinese review documents with verified path-line anchors, and never build, test, or edit source. Treat a review as pipeline-equivalent only when an explicitly selected qualified reviewer uses a supported effort (xhigh or max, plus ultra for Codex), preferring GPT-6 Astra on Codex and Fable 5.1 on Claude Code. After a converged APPROVE result, automatically post one machine-readable PASS comment bound to the reviewed commit.
Distill Opus-level reasoning into optimized instructions for Haiku 5.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when the user says "down-skill", "distill for Haiku", "optimize for Haiku", "make this work on Haiku", "generate Haiku instructions", or needs to delegate a task to a smaller model with high reliability
Turn a novel into a Word draft for editing. Use when the user wants to export a manuscript to Word/docx, organize it into chapters with a table of contents, left-align chapter headings, mark sections for them to revise, or says, "Write a rough version first; I'll select and revise it." Produces a Word draft (table of contents + left-aligned Chapter X headings + red-highlighted 【修改】 suggestions), named 《书名》修改N, and never overwrites the original.
ElevenLabs automatic dubbing - translate and dub audio/video into 29 languages while preserving speaker voice via inference.sh CLI. Capabilities: auto speaker detection, voice-preserving translation, video dubbing, audio localization. Use for: content localization, video translation, multilingual content, international distribution. Triggers: dubbing, dub video, translate audio, video translation, audio translation, localize content, elevenlabs dubbing, eleven labs dub, multilingual dub, voice translation, auto dub, language dub, content localization
Generate AI sound effects from text descriptions with ElevenLabs via inference.sh CLI. Capabilities: text-to-sound-effect, custom duration, royalty-free audio. Use for: video production, game audio, podcasts, films, presentations, social media. Triggers: sound effects, sfx, sound generation, ai sound effects, generate sound, foley, audio effects, sound design, text to sound, elevenlabs sound, eleven labs sfx, ambient sound, cinematic sound, game sound effects
Constrains Java development to prioritize reusing the capabilities of the 璀璨工坊 unified framework, avoiding reinventing the wheel. Based on 《璀璨工坊统一框架-使用手册-nightly》, it provides guidance on unified framework integration, upgrades, configuration, Starter selection, and troubleshooting. When a capability is covered by the framework, the framework's Starter and corresponding abstraction APIs must be used; falling back to official Spring starters or bypassing the framework abstraction layer (e.g. using StringRedisTemplate directly instead of CacheService for caching) is prohibited. Use when the user mentions "统一框架", "starter清单", "接入步骤", "升级步骤", "系统要求", "Web MVC/服务间调用/Mybatis-Plus/加解密/缓存/多数据源/代码生成器/资源抽象层", or needs to determine "该功能是否应直接使用某个 starter（如 cache-starter）".
Write and sequence multi-email nurture or launch campaigns. Use when asked for an email sequence, drip campaign, onboarding emails, product launch emails, or nurture flow. Produces subject lines, preview text, full email body, and send-timing recommendations for each email in the sequence.
Writing English web fiction for international platforms (Wattpad / Royal Road / Webnovel / Radish / KDP). Use when the user wants to write an English novel, publish on English-language platforms, adapt a Chinese story into natural English (not translationese), ask how to write for or choose an English-language platform, or remove “Chinese web novel translationese / AI-like” phrasing from English. Produce English that reads like it was written by a local author, following English web fiction conventions.
Use when evaluating projects for production or enterprise readiness, implementing supply chain security (SLSA, cosign, SBOMs, pnpm), hardening CI/CD pipelines, establishing quality gates (TYPO3: CI matrix PHP 8.2-8.5 x TYPO3 12.4/13.4/14.3 LTS), pursuing OpenSSF Best Practices Badge (Passing/Silver/Gold) or OSPS Baseline levels, reviewing code quality, writing ADRs, or configuring Git hooks and CI pipelines.
Create new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith integration. Use when the user asks to: (1) create an eval, (2) write an evaluation, (3) add a benchmark, (4) build an eval suite, (5) evaluate agent behaviour, (6) add test cases for a capability, or (7) implement an existing benchmark (e.g. oolong, AgentBench, SWE-bench). Trigger on phrases like 'create eval', 'new eval', 'add eval', 'benchmark', 'evaluate', 'eval suite', 'write evals for'.
Design original Evangelion-inspired web and mobile interfaces with NERV-like command-center, HUD, psychographic, sync-monitor, breach-warning, and title-card language: sharp geometry, tactical typography, disciplined data density, danger-first palettes, wireframe analysis forms, repeated instrument arrays, and mechanical animation. Use when users ask for Evangelion, NERV, anime control room UI, sci-fi military instrumentation, diagnostic overlays, psychographic displays, sync monitors, countdown screens, or dramatic system-state motion for product interfaces
Searches the web through Exa 3.0 using six Python scripts: lite/auto/deep search with category, domain, and date filters; Dynamic Highlights; structured output with field-level citations; clean extraction from known URLs; cited answers; and the async Agent API for list building, enrichment, and multi-hop research. Use this skill for any web search, fact lookup, current events, finding papers, companies, people, or news, reading known URLs, questions that need cited answers, building lists of entities that match criteria, or enriching records with web data. It is the default web search tool (built-in WebSearch is blocked). Triggers on search the web, look up, find pages, research with citations, Exa, list of companies, enrich.
Extract TikZ diagrams from Beamer `.tex` source, compile each to a standalone PDF, and convert to SVG with 0-based indexing. Use when user says "extract the tikz", "regenerate the diagrams", "rebuild the SVGs", "sync tikz to quarto", or after editing TikZ blocks in a Beamer deck that also has a Quarto mirror.
FastAPI modern Python web framework. Covers routing, Pydantic models, dependency injection, and async support. Use when building Python APIs. USE WHEN: user mentions "fastapi", "pydantic", "async python api", "python rest api", asks about "dependency injection python", "python openapi", "python swagger", "async endpoints", "python api validation", "fastapi middleware" DO NOT USE FOR: Django apps - use `django` instead, Flask apps - use `flask` instead, synchronous Python APIs without type hints, GraphQL-only APIs
Operate Feishu Bitable, supporting management of data tables, records, fields, and assets. When to use: when the user says "飞书多维表格"/"飞书表格"/"bitable", or needs to read and write table records, manipulate data table structure, manage fields, or upload assets.
High-quality Feishu/Lark Docx writing via OpenClaw. Use when you want to turn Markdown into well-formatted Feishu Docx (headings, lists, nesting, code blocks) using feishu_docx_write_markdown; includes safe workflows, templates, and troubleshooting. Trigger on Feishu doc/docx links, “write to Feishu doc”, “generate a Feishu doc”, “append/replace docx”, “convert markdown to feishu doc”, or when users want consistently good doc formatting.
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.