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Found 2,307 Skills
Develop high-quality, accessible React components using shadcn-ui, Tailwind CSS, and Radix UI. Use when building forms, layouts, dialogs, tables, or any UI components. Supports Next.js, Vite, Remix, Astro, and more. Integrates with shadcn MCP server for component discovery and installation.
Event-sourced task system for agent collaboration. Use when managing tasks, tracking work, handing off between agents, checking task queues, or reporting progress. Provides both MCP tools and a CLI (ql).
Guidelines and workflow for working on Laravel 11 or Laravel 12 applications across common stacks (API-only or full-stack), including optional Docker Compose/Sail, Inertia + React, Livewire, Vue, Blade, Tailwind v4, Fortify, Wayfinder, PHPUnit, Pint, and Laravel Boost MCP tools. Use when implementing features, fixing bugs, or making UI/backend changes while following project-specific instructions (AGENTS.md, docs/).
HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.
Set up and use Dstl8 for observability. Triggers: install or configure Dstl8 (CLI, sources, MCP); incident triage and investigation; root cause analysis; checking whether a deploy fixed an issue; alerting on recurring patterns; cross-environment correlation; pre-coding context on past incidents and recent issues.
Build RAG pipelines with Exa.ai for real-time web retrieval. Use when building retrieval-augmented generation, integrating Exa with LangChain, LlamaIndex, Vercel AI SDK, or implementing AI agents with web search capabilities. Triggers on: RAG pipeline, retrieval augmented generation, Exa LangChain, Exa LlamaIndex, ExaSearchRetriever, ExaSearchResults, Exa MCP, Exa tool calling, Claude tool use, AI agent web search, grounded generation, citation generation, fact checking, hallucination detection, OpenAI compatibility, chat completions.
Build new Next.js applications or migrate existing frontends (React, Vue, Angular, vanilla JS, etc.) to Next.js + shadcn/ui with systematic analysis and conversion. Enforces shadcn design principles - CSS variables for theming, standard UI components, no hardcoded values, consistent typography/colors. Use for creating Next.js apps, migrating frontends, adopting shadcn/ui, or standardizing component libraries. Includes MCP integration for shadcn documentation and automated codebase analysis.
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.
Headless browser automation using Vercel's agent-browser CLI. 93% less context than Playwright MCP. Snapshot + refs workflow with element references. Use when automating browser tasks, web scraping, form filling, or content capture.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
Automatically generate an AI image on Higgsfield using Playwright browser automation. Use when the user has an image prompt and wants to generate it on Higgsfield Soul 2.0 or Nano Banana Pro. Triggers on requests like "generate image on higgsfield", "create image", "auto-generate image", "make the image on higgsfield", or any request to submit an image generation job. Requires Playwright MCP tools.