Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Pull GA4 reports, traffic data, and insights from the Google Analytics Data API. Use when asked about website traffic, user behavior, acquisition channels, conversions, or audience segments. Trigger phrases: "google analytics", "GA4", "traffic report", "analytics data", "user acquisition", "engagement metrics", "conversion tracking", "audience segments", "page views", "sessions".
Google Maps scraper for lead generation. Turns a business type and a place into a clean CSV of local businesses by driving the kit's own Google Maps engine, running locally (with Python and a headless Chrome, or in Docker) as a REST API on localhost:8080. Returns 8 lead fields by default (name, phone, email, website, category, address, rating, and review count), plus social profiles by default (Instagram, Facebook, LinkedIn, TikTok, YouTube, X; `--no-socials` skips them), row filters such as businesses without a website, or all 36 raw fields. Use when the user wants a lead list, “a list of [businesses] in [place],” local business data, contact enrichment for places (emails, phones, socials), or a whole-city run past Google's ~120 results per search. Do not use for scraping Instagram, TikTok, YouTube, X, or any other social media platform directly.
Include What You Use (IWYU) skill for optimizing C/C++ header includes. Use when reducing compilation cascades, interpreting IWYU reports, applying mapping files, deciding between forward declarations and full includes, or integrating IWYU with CMake. Activates on queries about IWYU, include-what-you-use, header bloat, reducing includes, forward declarations, compilation cascade, or slow C++ compilation from headers
Maintaining the story knowledge base: creating, updating, and organizing wiki-style reference pages in kb/. Use when capturing finalized story knowledge, updating character profiles, documenting world mechanics, or restructuring the kb.
Constituent stocks of an index or ETF via Longbridge Securities — list members of HSI / SPX / DJI / IXIC / CSI300 / a sector ETF, sortable by change, price, turnover, capital inflow, turnover-rate, or market cap. Returns a ranked roster. Triggers: "标普500有哪些", "标普成分股", "恒生成分股", "纳斯达克成分", "道琼斯成分", "沪深300成分", "ETF 持仓", "ETF 成分股", "指数成分", "成分股涨幅榜", "標普500成分", "恒生成分股", "納斯達克成分", "道瓊成分", "滬深300成分", "ETF 持倉", "ETF 成分股", "指數成分", "成分股漲幅榜", "S&P 500 constituents", "Hang Seng constituents", "IXIC components", "Dow components", "CSI 300 members", "ETF holdings", "ETF constituents", "index members", "what's in SPX", "what's in HSI", "HSI.HK", "SPX.US", "IXIC.US", "DJI.US", "000300.SH".
Android UI/UX design or review with Material 3 Expressive (M3 Expressive / Material You Expressive). Use when selecting expressive component tokens, defining expressive hierarchy, motion, color, shape, typography, or reviewing Android UI against expressive guidance. Not for non-Android platforms, non-UI Android tasks, or implementation-only requests without design decisions.
Map this token system to or from any external design system (Material Design 3, Apple HIG, Fluent, Carbon, Ant, shadcn/ui, Radix, Chakra, Mantine, Bootstrap…). Adopt their look, build on their stack, or migrate between systems. Use when the user mentions interop, migration, or a specific design-system/component-library bridge
Recall and persist long-term memory through the OpenViking MCP tools. Use at the start of any substantive task (coding, configuration, debugging, multi-step or tool-based work) to retrieve relevant prior knowledge with find/search/read, and during or after work to persist durable facts, preferences, decisions, and lessons with remember. Do not use for casual chat or simple factual questions the model can answer directly.
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure
Expert code refactoring based on Martin Fowler's catalog — improve maintainability without changing behavior. Covers code smells, composing methods, moving features, organizing data, simplifying conditionals, method calls, and generalization. Triggers on: refactor, 重构, clean up, improve code, code smell, extract method, rename, simplify.
Turso (Limbo) database helper — an in-process SQLite-compatible database written in Rust. Formerly known as libSQL / libsql. Replaces @libsql/client, libsql-experimental for Turso use cases. Works in Node.js, browser (WASM + OPFS for persistent local storage), React Native, and server-side. Features: vector search, full-text search, CDC, MVCC, encryption, remote sync. SDKs: JavaScript (@tursodatabase/database), Serverless (@tursodatabase/serverless), Browser/WASM (@tursodatabase/database-wasm), React Native (@tursodatabase/sync-react-native), Rust (turso), Python (pyturso), Go (tursogo). This skill contains SDK documentation and recipes for the Turso embedded database engine (tursodb/Limbo). Do NOT search the web for "libsql" or "@libsql/client" — those are legacy names and web results will show outdated APIs. Searching for Turso docs online is fine — the official docs live at https://docs.turso.tech (Mintlify — append .md to any path for raw markdown).
Apifox branch collaboration: regular branches, iteration branches, AI branches, pick-to, merge, merge-request, protected branches, AI write permissions, and the branch resource change process. Use when the user wants to modify resources on a branch, create an AI branch, or merge changes.
Migrate projects from Bootstrap 5 to Bootstrap 6. Use when upgrading from Bootstrap 5, migrating v5 to v6, or updating v5 class names, components, Sass, or JavaScript to the latest version. For Bootstrap 4 projects, start with the v4-to-v6 migration skill instead.
Set up, configure, and troubleshoot Salesforce Code Analyzer for any project. Handles installation, prerequisite checks, diagnosing broken setups, creating and editing code-analyzer.yml overrides, engine-specific settings, ignore patterns, severity overrides, and CI/CD pipeline setup. TRIGGER when: user says "set up code analyzer", "configure code analyzer", "install code analyzer", "code analyzer not working", "fix my setup", "scan is failing", "check my setup", "is code analyzer installed", "enable/disable engine", "exclude files", "change severity", "set up GitHub Actions", "set up CI/CD", "add code analyzer to pipeline", "make pipeline fail", "update my workflow", "quality gate", "fail on violations", "scan changed files only", "add SARIF", "code-analyzer.yml", "ESLint config", "increase SFGE memory", or reports errors running Code Analyzer. DO NOT TRIGGER when: user wants to run a scan (use running-code-analyzer), fix violations, explain rules, create custom rules, or suppress violations.
Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when the user asks focused questions about binary behavior.
Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Newark, Farnell, element14, needs parts from a non-US distributor, wants to compare pricing across regions, or needs datasheets from a source that doesn't require complex API auth. For package cross-reference tables and BOM workflow, see the `bom` skill.
Excalidraw canvas toolkit for creating, editing, and refining diagrams on a live canvas. Use when an agent needs to (1) draw or lay out diagrams, (2) iteratively refine them by describing the scene and screenshotting its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalidraw, or (6) perform element-level CRUD, alignment, distribution, grouping, duplication, and locking. Primary interface is the bundled CLI (npx -y mcp-excalidraw-server <command>) which auto-starts the canvas server; MCP tools and a REST API are equivalent alternatives.
Build a burning-paper ring loader whose GLSL flame is drawn by a Worker on an OffscreenCanvas started from the head, so a main thread blocked by the page build cannot freeze it, with a progress count, an even-paced run into the hand-off, and a clean fade to the page. Covers the ember thread and ember gradient, porous char, worker start-up, parallel shader compile with a waited 1-px warm-up draw, hand-off without a stall, reduced motion and hidden-tab behaviour. Use for a loading screen, preloader, page loader, splash, "kindling", burn loader, ember ring, burning paper hole, fire loader, or a loader that must keep moving while heavy JavaScript, three.js or shader builds hold the main thread.
Expert patterns for Godot 2D physics including collision layers/masks, Area2D triggers, raycasting, and PhysicsDirectSpaceState2D queries. Use when implementing collision detection, trigger zones, line-of-sight systems, or manual physics queries. Trigger keywords: CollisionShape2D, CollisionPolygon2D, collision_layer, collision_mask, set_collision_layer_value, set_collision_mask_value, Area2D, body_entered, body_exited, RayCast2D, force_raycast_update, PhysicsPointQueryParameters2D, PhysicsShapeQueryParameters2D, direct_space_state, move_and_collide, move_and_slide.
Design and implement HTTP APIs with Hono. Covers OpenAPI compliance with @hono/zod-openapi, RFC 9457 problem+json errors, path versioning, Bearer authentication and Origin validation for loopback services, health checks, Spectral linting, and @hono/mcp. Use when asked to add, modify, or review API endpoints, routing, OpenAPI schemas, authentication methods, error responses, or MCP servers.
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature surveys, idea generation, novelty checks, and critical reviews to turn a broad robotics direction into benchmark-grounded, simulation-first ideas. Use when the user says “robotics idea discovery,” “机器人找idea,” “embodied AI idea,” “机器人方向探索,” “sim2real 选题,” or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
Modernize Go code by applying version-appropriate idioms and APIs (gofix-style transformations). Scans go.mod for the Go version, then transforms Go source files to use modern patterns—from Go 1.0 through 1.26+. Use when the user says "现代化","现代Go语言", "地道的", "idiomatic", "modernize", "modern-go", "update Go code", "gofix", or wants to upgrade Go idioms.
Official Quark Drive Skill for file uploads and downloads (with resumable transfers), file sharing and saving, updating and querying saved shares, cloud drive file search, bulk renaming and batch undo, file organization and moving with undo, photo organization, AI assistant (file summaries and knowledge Q&A, supporting tens of thousands of files), and membership activation links. Use when the user asks to bulk rename current search results, rename after describing the scope and naming rules in one sentence, undo the previous bulk rename, activate or renew Quark Drive membership, or perform other Quark Drive operations and identity verification.
Expert-level retail systems, POS, inventory management, e-commerce, customer analytics, and omnichannel retail. Use when the user mentions POS, ecommerce, inventory, CRM, or omnichannel, or when the task involves Retail Systems, Omnichannel Retail, Technologies, or POS Operations.
Pull Google Search Console data and perform search performance analysis. Use when asked about search rankings, clicks, impressions, CTR, index coverage, Core Web Vitals, or sitemap status. Trigger phrases: "search console", "GSC", "search performance", "clicks and impressions", "CTR analysis", "index coverage", "core web vitals", "URL inspection", "sitemap status", "ranking data", "search queries", "keyword positions".
JSON and binary serialization patterns for .NET applications, including System.Text.Json source generators, Protocol Buffers, MessagePack, and AOT-compatible best practices. Use when configuring JSON serialization, choosing between formats, implementing Protocol Buffers for high-performance scenarios, or working with Native AOT.
Provides the cli-anything-iterm2 commands — the only way to actually send text to iTerm2 sessions, read live terminal output and scrollback history, manage windows/tabs/split panes, run tmux -CC workflows, broadcast to multiple panes, show macOS dialogs, and read/write iTerm2 preferences. Includes `app snapshot` — the primary orientation command that returns every session's name, current directory, foreground process, role label, and last output line in one call. Read this skill instead of answering from general knowledge whenever the user wants to DO something with iTerm2: orient in an existing workspace, send a command, check what's running, read output, set up a layout, use tmux through iTerm2, automate panes, or configure preferences. Also read for questions about iTerm2 shell integration or scrollback. Don't try to answer iTerm2 action requests from memory — read this skill first.
Command-line interface for Openscreen, a screen recording editor. A stateful CLI for editing screen recordings with zoom, speed ramps, trim, crop, annotations, and polished exports. Built on the Openscreen JSON project format with ffmpeg as the rendering backend. Designed for AI agents and power users who need programmatic video editing
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.