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Found 2,221 Skills
Use when generating UI components, buttons, forms, cards, hero sections, or using design tools. Covers Gemini Design MCP, shadcn/ui, 21st.dev, and Tailwind CSS.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
AI agent development standards using golanggraph for graph-based workflows, langchaingo for LLM calls, tool integration, MCP, and LLM best practices (context compression, prompt caching, attention raising, tool response trimming).
Search and retrieve academic papers from arXiv.org using WebFetch and Exa. No MCP server required - uses existing tools to access arXiv API directly.
Create a TODO or initiative task in One Horizon. Use when asked "log this task", "create a todo", "track this small task", "create an initiative", "plan this project", or "start a roadmap initiative". For bugs or feature requests, use report-issue instead. Requires One Horizon MCP.
Use Chrome DevTools MCP through UXC over local stdio for page navigation, DOM/a11y snapshots, network inspection, console inspection, and performance tooling, with a live-browser autoConnect default and optional browserUrl or isolated fallback modes.
Tiger Brokers OpenAPI Python SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, CLI command-line tool, and MCP server integration. Use when building trading applications, querying market data, placing orders, using the tigeropen CLI, or integrating Tiger Brokers API with AI editors. 老虎证券 OpenAPI Python SDK 完整技能集。涵盖 SDK 配置、行情查询、股票/期货/期权交易、实时推送订阅、CLI 命令行工具、MCP Server 集成。适用于构建交易应用、查询行情数据、下单交易、使用 tigeropen CLI、或将老虎 API 集成到 AI 编辑器。
Lobstr.io platform help — no-code web scraping platform with 50+ ready-made scrapers for Google Maps, LinkedIn Sales Navigator, Twitter, YouTube, and more. Features cookie-based login sync, scheduled automation, multi-threading, and a full API with Python SDK and MCP Server. Use when configuring a Lobstr scraper, exporting data to Google Sheets or S3, setting up scheduled scraping, working with the Lobstr API or Python SDK, or managing credits. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or integration strategy (use /sales-integration).
Create a boolean first flag, add evaluation, toggle on/off for end-to-end proof. Parent onboarding Step 6; uses MCP, API, or ldcli; optional flag-create skill.
Define an entire Cargo workspace in code — connectors, models, plays, tools, agents, MCP servers, context, capacities, territories, segments, folders, files, workers, apps — and deploy it declaratively with `cargo-ai cdk` (init → types → plan → deploy), the way you'd manage cloud infra with Pulumi or the AWS CDK. Use when the user wants to manage Cargo resources as code: reproducibly, version-controlled, in git, from a template, or across environments. Routes to authoring/deploy/typing guides (Level 2), recipes (Level 2.5), and references. For one-off imperative operations (create one connector, read a model, run a workflow), use the matching capability skill instead.
Diagnose, classify, triage, and repair failing Momentic tests with MCP run tools, the Momentic CLI, and manual run artifacts. Use when a developer asks what happened on a branch, DevX or on-call asks why main is red, or the user wants to inspect classifications, de-flake quarantined or recovered tests, reduce retries, re-classify runs, run AI triage, or repair failures.
Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.