Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Create engaging content for social media platforms: X posts and threads, LinkedIn, Threads, Instagram, Facebook. Includes writing styles, AI-avoidance patterns, a hooks catalog, and macOS Notes integration. Use when drafting social media posts, writing thread series, applying engagement hooks, or adapting content for specific platforms. Keywords: social media, X, LinkedIn, threads, posts, hooks, content strategy, AI writing avoidance.
Fetch social media, commerce, and research data through the SocialCrawl API: profiles, followers, posts, comments, reviews, search results, transcripts, ads, product catalogs, app-store listings, places, jobs, finance, news, trends, prediction markets (Polymarket), plus cross-platform Prism composites, scheduled Monitors, and audience Cohorts. Covers TikTok, Instagram, YouTube, Twitter/X, Facebook, LinkedIn, Reddit, Threads, Amazon, Walmart, Google, Trustpilot, Yelp, GitHub, Naver and many more behind one API key. Use when the user mentions SocialCrawl, or wants to collect social media data, creators or influencers, brand mentions, comments, reviews, or competitor data; scrape or crawl a web page via SocialCrawl; generate code that calls the API; check endpoints, pricing, or their credit balance; or run one search across many platforms.
Implement the Syncfusion Angular Smith Chart component for high-frequency circuit visualization and transmission line analysis. Use this skill to create Smith charts, visualize impedance or admittance parameters, add multiple series, customize axes and gridlines, configure markers and data labels, implement legends with visibility toggling, add tooltips and export functionality, or handle styling and accessibility. Covers installation, basic rendering, series management, axis configuration, marker and label customization, legend setup, and advanced features.
Implement the Syncfusion Angular Sparkline component for compact data visualization. Use this skill to create sparkline charts, visualize small datasets inline, add markers or data labels, implement different sparkline types (Line, Column, Area, Pie, Win-Loss), or customize sparklines with tooltips, axis settings, and theme styling. Covers installation, basic rendering, type selection, marker configuration, data label formatting, advanced features, accessibility, and migration from EJ1.
Implement Syncfusion Angular Stock Chart component for displaying financial data and OHLC charts. Use this skill whenever users need to create stock charts, display candlestick or OHLC data, add technical indicators, implement date range selection, or work with time-series financial visualization. Includes series types, axis customization, interactive features, and export capabilities.
Expert system designer for tabletop roleplaying games covering dice mechanics, character creation, combat systems, narrative frameworks, GM tools, and playtesting methodology. Use when "tabletop rpg, ttrpg design, dice mechanics, character creation system, combat system design, gm tools, pbta, powered by the apocalypse, forged in the dark, blades in the dark, osr design, old school renaissance, narrative rpg, rules-light rpg, crunchy system, session zero, safety tools, x-card, fail forward, fiction first, player-facing rolls, advantage disadvantage, target number, dice pool, tabletop, rpg, game-design, dice-mechanics, pbta, osr, narrative-games, ttrpg, gm-tools, character-creation, blades-in-the-dark, forged-in-the-dark" are mentioned
Deploy and operate apps on Sealos Cloud: sign in to a Sealos account, deploy any project or self-hosted app (from the template store, an official Docker image, or project source code), provision managed databases (PostgreSQL, MySQL, MongoDB, Redis, Kafka), create S3-compatible object storage, expose public HTTPS domains, check status and logs, and troubleshoot failures. Use this skill whenever the user mentions Sealos (in any language, e.g. "部署到 Sealos"), or asks to deploy, host, or self-host an application, website, or database without naming another platform. Typical trigger: "deploy X to Sealos" / "帮我把 X 部署到 Sealos".
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices". Focuses on visual design and interaction patterns. Do NOT use for performance audits (use core-web-vitals), SEO (use seo), or comprehensive site audits (use web-quality-audit).
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS impact) and Loading (priority hints, resource preloading). Provides performance budgets and format recommendations based on content type. Use when the user asks about image optimization, LCP is an image/video, layout shifts from media, or media loading strategy. Compatible with Chrome DevTools MCP
Answer questions about ArkEnv and help implement environment variable validation. Use when developers: (1) Ask about environment variable validation or typesafety, (2) Want to setup ArkEnv in a project, (3) Need to define or update schemas using ArkType or Standard Schema, (4) Are integrating with Next.js, Nuxt, Vite, Bun, or Node.js runtimes. Triggers on: 'ArkEnv', 'env validation', 'typesafe env', 'createEnv', 'env.ts', 'arkenv'.
Use when encountering BUILD FAILED, test crashes, simulator hangs, stale builds, zombie xcodebuild processes, "Unable to boot simulator", "No such module" after SPM changes, or mysterious test failures despite no code changes — systematic environment-first diagnostics for iOS/macOS projects
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.
Use this skill to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use it for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work to context-optimization, conversation summarization to context-compression, and project-shape decisions to project-development.
Creates Architecture Decision Records (ADRs) to document significant architectural choices and their rationale for future team members. Use when the user says "write an ADR", "document this decision", "record why we chose X", "add an architecture decision record", "create an ADR for", or wants to capture the reasoning behind a technical choice so the team understands it later. Do NOT use when the decision hasn't been made yet (use create-rfc instead), for implementation planning (use technical-design-doc-creator), or for general documentation.
Build a beautiful macOS-inspired documentation site (single HTML file) with a liquid-glass surface system (tiered glassmorphism: opacity ladder, blur scale, edge highlights), animated SVG diagrams, traffic-light window chrome, and a light-blue + white liquid-glass palette (white glass surfaces over a soft blue gradient field, per-section blue-tone theming). Also trigger on "liquid glass", "frosted glass", or "translucent UI" requests for docs/showcase pages. Trigger when the user wants to create a docs site, landing page, showcase, portfolio, guide, tutorial site, feature overview, or product documentation — especially when they mention wanting it to look "clean", "modern", "Apple-like", "macOS style", "glass", "frosted", "animated diagrams", or "single HTML file". Also use when the user has multiple markdown files and wants them rendered into a cohesive visual HTML page with sections. If the user says "6 file" or wants separate pages per topic, generate one HTML file per wiki file (index.html as overview + N topic files), NOT a single combined page.
Export Administration Regulations (EAR, 15 CFR Parts 730-774) compliance advisor — ECCN classification across all 10 CCL categories and 5 product groups (A-E), EAR99 determination, jurisdiction analysis (EAR vs ITAR order of review), license requirement analysis via Country Chart, all license exceptions (LVS, GBS, CIV, TMP, RPL, GOV, TSU, ENC, TSR, APP, BAG, AVS, ACE), end-user/end-use controls (Entity List, Denied Persons List, Unverified List, MEU List), deemed export rules, Foreign Direct Product Rule (FDPR), de minimis thresholds, 10 General Prohibitions, SNAP-R license applications, voluntary self-disclosure, civil/criminal penalties, Export Compliance Program (ECP) design, and EAR vs ITAR jurisdiction determination. Use for any dual-use export control, CCL classification, or BIS compliance question.
Creates consistent error handling with custom error classes, HTTP status mapping, structured logging, safe client messages, and error taxonomy. Use when standardizing "error handling", "logging", "error responses", or "exception management".
The operational playbook for launching a feature well. Covers positioning, internal alignment, customer communications, sales enablement, support readiness, rollout strategy, monitoring with predefined rollback triggers, post-launch measurement against spec hypotheses, and the discipline that distinguishes shipping from releasing from actually launching. Triggers on launch plan, feature launch, launch checklist, ship vs release, rollout strategy, gradual rollout, sales enablement, support readiness, launch announcement, post-launch measurement, launch failure, or declaring victory too early. Also triggers when planning a launch of any size or for any segment, auditing an existing launch process, fixing the “we shipped it but the metric did not move” problem, or building a launch checklist for the team.
Expert at handling file uploads and cloud storage. Covers S3, Cloudflare R2, presigned URLs, multipart uploads, and image optimization. Knows how to handle large files without blocking. Use when: file upload, S3, R2, presigned URL, multipart.
Expert patterns for adding multiplayer to single-player games including client-server architecture, authoritative server design, MultiplayerSynchronizer, lag compensation (client prediction, server reconciliation), input buffering, and anti-cheat measures. Use when retrofitting multiplayer, porting to online play, or designing networked gameplay. Trigger keywords: MultiplayerPeer, ENetMultiplayerPeer, SceneMultiplayer, MultiplayerSynchronizer, rpc, rpc_id, multiplayer_authority, client_prediction, server_reconciliation, lag_compensation, rollback.
Identifies abnormal intraday moves such as sharp rises, sharp drops, volume surges, and sudden changes in turnover, then quickly explains possible drivers, persistence, and key response points. Useful for judging whether unusual moves are genuine, breaking down their drivers, and deciding whether to keep monitoring them while watching the market.
Original prompt for collaboration using the Johari Window. Use when the user wants to define how AI should collaborate, says responses don't meet their needs, complains about too many questions or guesses made without asking, or wants the AI to assess the state of information before responding. Trigger phrases include Johari Window, window, open area, blind spot, hidden area, unknown area, collaboration mode, don't guess what I need, and clarify before answering. Attach the full prompt at the beginning of a session or task to guide all subsequent collaboration.
Sandbox build executor for Sealos deploys: build a container image from source with an in-cluster Kaniko Job and push it to GHCR, for environments without a Docker daemon (Brain managed Devbox sandboxes). Use only when a managed deploy (SEALAI_DEPLOY_MODE=managed) needs an image built from project source; local interactive deploys build with docker buildx instead (see the use-sealos skill).
Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer. Trigger when the user names "neat-freak", "洁癖", or "/neat" — and also on clear knowledge-closeout intent without the name: syncing or tidying project docs/rules/memory after development ("把文档和记忆整理一下", "收尾时把文档同步掉", "docs 和代码对不上了"), stale or conflicting CLAUDE.md/memory, a clean handoff to a teammate or a fresh session, or auditing whether workspace rules are actually followed. Do not trigger for pure coding/refactoring/debugging tasks, tidying data or prose (JSON, 周报, changelog announcements), or a bare "整理" with no project-knowledge context.
Scaffolds a production-ready static landing page with working email capture form, analytics, and responsive design. Activates on "create landing page", "build a landing page", "launch page for product", or similar requests. Optionally deploys to Vercel on explicit request.
This skill should be used when working with memory-lancedb-pro, a production-grade long-term memory MCP plugin for OpenClaw AI agents. Use when installing, configuring, or using any feature of memory-lancedb-pro including Smart Extraction, hybrid retrieval, memory lifecycle management, multi-scope isolation, self-improvement governance, or any MCP memory tools (memory_recall, memory_store, memory_forget, memory_update, memory_stats, memory_list, self_improvement_log, self_improvement_extract_skill, self_improvement_review)
Original prompt for a memory parable. The focus is remembering; understanding is left to something else. After the parable, it also maps each metaphor one by one. Suitable for passing the time when bored, too. Use when the user wants to remember an abstract or unfamiliar concept through a story, or is simply bored and wants AI to tell an interesting story. Trigger phrases include “memory parable,” “help me remember with a story,” “don’t make me memorize concepts,” “a graduate-level concept,” “tell me a story when I’m bored,” and “that Amanda Askell prompt.” It produces a parable that does not reveal the concept, then explains the concept and how each metaphor in the parable corresponds to it.
Define, track, and analyze product metrics with frameworks for goal setting and dashboard design. Use when setting up OKRs, building metrics dashboards, running weekly metrics reviews, identifying trends, or choosing the right metrics for a product area
Migrates a Glue Data Catalog Hive table (Parquet) into Amazon S3 Tables as managed Iceberg using the native S3 Tables migration API (StartTableMigration, SyncTableMigration, CompleteTableMigration), a managed service call, not a self-run CTAS, Glue, or EMR job. The source is a Hive table; an Iceberg source is never in scope, even when the destination is S3 Tables. Covers plan review, migrate, sync, complete, and validate. Same-account, same-region, Glue Hive Parquet source only. Use when the request asks to migrate or import a Hive table into S3 Tables, or names the native migration API. Not applicable to converting a self-managed or standard Iceberg table into S3 Tables (ingesting-into-data-lake covers that), self-run CTAS/Glue-ETL/Spark migrations (ingesting-into-data-lake), or creating empty tables (creating-data-lake-table).
A mobile-app screen rendered inside a pixel-accurate iPhone 15 Pro frame on the page. Built by copying the seed `assets/template.html` and pasting one screen archetype from `references/layouts.md`. Use when the brief asks for "mobile app", "iOS app", "Android app", "phone screen", or "app UI"
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span, should_export_span, LangfuseMedia), and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
Guide for writing MoonBit bindings to C libraries using native FFI. Use when adding extern "c" declarations, writing C stubs with moonbit.h, configuring native-stub and link.native in moon.pkg, choosing #borrow/#owned ownership annotations, designing callback trampolines, wrapping C pointers with external objects and finalizers, converting strings across FFI, or validating bindings with AddressSanitizer.
Master orchestrator for Indian NSE/BSE equity trading analysis via Groww broker. Routes to specialized framework skills: technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, and Fibonacci trading. Use this skill whenever the user asks to: analyze a stock, check a position, decide buy/sell/hold, plan entries/exits, or do any comprehensive trading analysis for Indian equities. Triggers on: "analyze [stock]", "should I buy/sell [stock]", "check [stock]", "what's the setup on [stock]", or any broad market analysis request involving NSE/BSE stocks. This is the go-to skill for full stock analysis — it pulls together all the individual framework skills into one workflow.
JWT attack methodology for penetration testers. Covers algorithm confusion (alg:none, RS256→HS256), weak HMAC secret brute force, kid parameter injection (SQLi, path traversal), jku/x5u/jwk header injection, JWKS cache poisoning, JWS/JWE confusion, timing attacks, and mobile JWT storage extraction. Use when testing JWT-based authentication, hunting auth bypass via token manipulation, or evaluating JWT implementation security in web or mobile apps.
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.