Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments
Hono is a small web framework built on Web Standards (Request/Response) that runs unchanged on Cloudflare Workers, Deno, Bun, Node.js, AWS Lambda and Vercel. Use it when the user asks to build a Hono API, add Zod validation, JWT auth, CORS or middleware, use the type-safe RPC client (hc), render JSX, stream responses, or deploy one codebase to several runtimes.
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
Diagnoses Identity-Aware Proxy (IAP) denials of outbound requests from Gemini Enterprise Agent Platform agents that run on Agent Runtime and send traffic through Agent Gateway. Use when an agent request fails with "Egress request is not authorized", when Cloud Audit Logs show an IAP egressViaIAP decision with granted false, when IAP audit entries are missing while debugging agent egress, or when Access policies, IAP allow policies, policy bindings, or Agent Registry entries might block agent egress. Don't use for Gemini model IAM permission errors (such as aiplatform.endpoints.predict), Agent Platform API errors, or Agent Runtime deployment or 500 errors (use agent-platform-troubleshooting instead). Don't use for setting up, creating, or connecting an Agent Gateway, or for IAP web apps, IAP TCP forwarding, or SSH.
Generate a weekly Instagram content plan from a theme, audience, and content pillars. Produces a per-day mix of Reels, carousels, single images, and stories, each with a hook formula, angle, posting time, and primary goal, plus a weekly saves-and-shares goal (the 2026 lever), a story cadence, and a balance check across saves, shares, comments, and follows. Use to plan a week instead of ad-hoc posting. Not for drafting one caption (use ig-caption-writer) or one carousel (use ig-carousel-planner).
Add PostHog metric capture to track counters, gauges, and histograms. Use after implementing features or reviewing PRs to ensure key operations are measured, or when asked to add metrics, counters, or track a value over time. Also handles mirroring existing Prometheus/StatsD/OpenTelemetry metrics into PostHog and initial OTLP exporter setup.
Integrate Arcjet Guard into Python Google ADK — assign guard_tool to LlmAgent(before_tool_callback=), put guard_plugin first on Runner(plugins=) so a deny dict with arcjetDenied skips the tool, and read a caller-owned id via google_adk_context. Use when asked to add Arcjet to google-adk, Google ADK Python, rate limit those tools, screen inbound messages, or block prompt injection / PII. This is Python google-adk 2.x, not JS @google/adk and not @google/genai.
A set of resources to help write all kinds of internal communications, using company-specific formats. Use when asked to write internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Launch an automatic issue review with expert personas selected automatically, analyze feasibility, completeness, risks and architecture, then publish a structured report directly on the issue — all without user intervention. Use when the user wants an issue reviewed/analyzed before starting it, wants to assess its feasibility, completeness, risks or architecture, or mentions "issue review" / "revue d'issue".
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implementations. Use when reviewing code, checking solutions, or providing feedback on implementations.
Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows
Write tests, mock functions, assert values, and configure test suites for Roblox/Luau code using Jest Roblox — a Luau port whose API diverges from JS Jest in subtle, non-obvious ways that LLM training data does not cover. Use whenever encountering Jest in Roblox/Luau code: editing .spec test files, calling jest.fn/jest.mock/spyOn, using describe/it/expect, or debugging Jest tests.
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
Integration patterns between Kuroco and frontend frameworks such as Vite / React / Nuxt.js / Next.js (implementing SPA, SSG, SSR). Covers screen design and design improvements for Kuroco sites (suppressing formulaic AI phrasing, splitting management responsibilities between Kuroco and the frontend), content display in SPA / SSG (including switching the hosting destination when SSR or ISR is required), login, member registration and auth state management (Cookie auth, dynamic access tokens), avoiding third-party cookie issues, XSS protection, deciding the hosting destination (KurocoFront by default, confirmation items when Vercel or Codex Sites is specified), and deployment to KurocoFront (kuroco_front.json, GitHub integration, direct deployment via Admin MCP). Use for requests involving Kuroco site screen design or visual fixes, frontend-to-Kuroco integration, auth state management, static generation and dynamic routes, deployment, or choosing the hosting destination.
Write high-converting landing page copy using proven frameworks like PAS (Problem-Agitate-Solution), AIDA, and StoryBrand. Creates headlines, value propositions, CTAs, and full page sections optimized for conversion. Use when users need landing page copy, sales page content, or marketing website text.
Comprehensive Feishu/Lark integration skill for OpenClaw. Covers messaging, group management, Bitable (multi-dimensional tables), documents, calendar, video conferencing (vc.v1), meeting minutes (minutes.v1), task management, approval workflows, contacts, cloud drive, wiki/knowledge base. Requires the official Lark MCP server to be configured and running.
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice.
Use this skill when the user says "data review", "viral analysis", "analyze my content", "break down a creator's viral videos", or "analyze which episode performed best". When the user says "full benchmark analysis", "cross-creator analysis", "which topics go viral most easily", or "summarize viral patterns", run in full-benchmark mode and read all viral topic analysis reports for horizontal comparison. Automatically read published video scripts, classify them by viral tier (✈️🚗🛵🚲🚶), extract reusable creative patterns such as title formulas, content structures and topic types, and generate a classified summary report. Do not trigger for: topic recommendations (use li-recorder) or script writing (use li-writer).
Use this skill when the user says "generate cover", "cover copy", "XHS title", "optimize title", or "help me write a cover". Based on cognitive psychology + behavioral economics, it identifies content type and authority elements, automatically selects driving strategies, and outputs three versions (aggressive/balanced/conservative), each with cover copy + 3 titles, plus four-dimensional scoring and A/B testing suggestions. Do not trigger for: writing video scripts (use li-writer) or optimizing openings (use li-opening). Use when the user asks to "generate cover", "cover copy", "XHS title", "optimize title", or needs Xiaohongshu cover text and title variants.
One-stop AI toolkit for Amazon product selection, integrating 33 sub-capabilities across 12 tool categories — competitor lookup, ABA, front-end, Keepa, Sorftime, Jungle Scout, Sellics, SIF, Jimu, business insights, and more — covering product selection, keywords, competitors, reviews, niches, and trends.
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Generates a LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
Make websites, docs, blogs, or landing pages agent-friendly: visible and readable to LLMs and AI agents like ChatGPT, Perplexity, Claude Code, and Cursor. Use for requests involving llms.txt, llms-full.txt, serving .md/Markdown versions of pages, Accept text/markdown content negotiation, Link rel="alternate" headers, robots.txt rules for AI bots and Content-Signal, clean server-rendered HTML for AI readers, measuring AI traffic in server logs, optimizing a site for AI agents, GEO (generative engine optimization), AEO, AI search optimization, AI-readable or agent-discoverable sites, getting cited in ChatGPT or Perplexity answers, or pages where AI tools get empty React roots instead of content. Also use to push back on debunked patterns: ai.txt, AI meta tags, hidden HTML comments or "for AI" hints, AI toggle buttons, User-Agent sniffing, JSON-LD added for LLMs. Do NOT use for traditional Google SEO, sitemap.xml, schema.org rich snippets for search engines, WCAG/accessibility audits, or CSP/security headers.
Local app and bot testing. Uses agent-browser CLI for Electron/web app UI testing, and osascript (AppleScript) for controlling native macOS apps (WeChat, Discord, Telegram, Slack, Lark/飞书, QQ) to test bots. Triggers on 'local test', 'test in electron', 'test desktop', 'test bot', 'bot test', 'test in discord', 'test in telegram', 'test in slack', 'test in weixin', 'test in wechat', 'test in lark', 'test in feishu', 'test in qq', 'manual test', 'osascript', or UI/bot verification tasks.
When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence. This is the DEFAULT data tool for LocalSEOSkills. Trigger on any data request before considering other tools. Also trigger on "LocalSEOData," "LSD," "run an audit," "check my rankings," "pull reviews," "citation check," "keyword opportunities," "AI visibility," or "geogrid scan."
Integrate Login with ChatGPT (@opencoredev/loginwithchatgpt-*): let users sign in with their own ChatGPT account and run AI requests against their ChatGPT plan. Use when adding ChatGPT account login, mounting createChatGPTHandler, rendering the LoginWithChatGPT React button or useLoginWithChatGPT hook, wiring createChatGPTProxyProvider / createChatGPT with the Vercel AI SDK, or debugging /api/chatgpt routes.
Design or evaluate a logo against the SAD bar — Simple, Appropriate, Distinct — always judged in context. Use when designing a new mark, refining one, or assessing whether an existing logo is any good. Triggers on “logo,” “wordmark,” “brandmark,” “mark,” “monogram,” “favicon/app icon,” “is our logo good,” “redesign our logo,” “logo critique,” or “logo concepts.” Reads the brand's emotional target and competitor set first — a logo is never judged in a vacuum
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
Generate a complete professional event plan from guest background material. Takes guest bio / CV / intro copy as input, runs a multi-turn clarification dialog (activity type, audience, duration, tone), and outputs a cohesive plan with title + promo copy, minute-level rundown, tiered host question set, and gift / takeaway suggestions. Trigger when user mentions "活动策划", "策划案", "嘉宾对谈", "沙龙策划", "主持人问题", "活动流程", "event planning", "host prep", "salon plan", or pastes a guest bio asking for an event plan.
Analyzes one or more sample articles to extract a writing style profile (文风画像), then rewrites any target article in that exact style. Trigger when the user says: "分析这篇文章的文风", "模仿这个文风改写", "克隆某人的写作风格", "用 XX 的文风改写", "style clone", "rewrite in this style", or pastes articles asking for style analysis / imitation.
Design, explain or redesign code at the level of modules, classes, files and folders, through the low-level design delivery framework. Use when designing a new project or feature from a spec, explaining how an existing codebase is structured, restructuring one, or deciding where code should live
When the user wants to optimize maintenance strategies, improve equipment reliability, reduce downtime, or implement predictive maintenance. Also use when the user mentions "preventive maintenance," "predictive maintenance," "TPM," "Total Productive Maintenance," "MTBF," "MTTR," "reliability analysis," "equipment maintenance," "condition monitoring," "CBM," "failure analysis," or "spare parts optimization." For quality improvements, see quality-management. For OEE, see lean-manufacturing.
Structured business strategy frameworks — SWOT, OKR, Porter's Five Forces, McKinsey 7S, BCG Matrix, Blue Ocean, and change management models. Use when explicitly planning company/product strategy, setting measurable business goals, analyzing competitive positioning, or designing organizational change. Not for general business discussion — user should be asking for a framework or structured analysis.
Onboard a project to Maple by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Maple', 'set up Maple', 'add Maple telemetry', 'onboard this repo to Maple', 'instrument with OpenTelemetry for Maple'.
Review the current diff for regressions, correctness bugs, tests, simplifications, and docs issues, scaling depth to a low/medium/high/xhigh/max effort level. Use ONLY when explicitly requested by name: the user runs /material-ui-review, writes $material-ui-review, or asks for "the Material UI review skill". Do NOT use for general review requests such as "review my changes", "review this diff/branch/PR", or after finishing an implementation — handle those without this skill unless the user names it. Pass --comment to post a top-level PR comment, --comment inline for inline PR comments, or --fix to apply findings.
Generate GNSS baseband waveforms (GPS, Galileo, NavIC) with physically realistic or user-specified channel impairments using the Satellite Communications Toolbox. Use when generating GPS L1 C/A, L1C, L2C, L5, Galileo E1, E1C, E5a, E5b, E5, or NavIC L5, S, L1 signals. Covers gpsWaveformGenerator, galileoWaveformGenerator, satelliteScenario, Doppler/delay from orbital dynamics or custom values, navigation data encoding with ephemeris, and RINEX integration. Triggers on: GPS waveform, Galileo waveform, NavIC waveform, GNSS signal, satellite scenario, GNSS simulation, receiver test signal, baseband GNSS, L-band satellite signal, navigation signal generation.
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.