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Found 1,295 Skills
Use this skill to build, run, deploy, evaluate, and troubleshoot Go agents with Google's Agent Development Kit (`google.golang.org/adk`), including llmagent config, tools/integrations, callbacks/plugins, sessions/state/memory, workflows, streaming, MCP/A2A, and runtime/deployment patterns.
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
How to use Chrome DevTools MCP for browser debugging. Use when you need to inspect pages, take screenshots, debug UI issues, or verify visual changes.
Use mcp__mdsel__mdsel for .md files unless reading entire file or planning to edit. Triggers: markdown, .md, README, documentation, docs
Expert guidance for building with DatoCMS headless CMS. Includes API decision guides (CDA vs CMA), executable workflow playbooks for schema management, content operations, asset uploads, migrations, structured text (DAST), webhooks, and framework integrations. Covers official MCP server integration and troubleshooting.
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).
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relationships.
Create pull requests on GitHub using GitHub MCP, GitHub CLI (gh), or the GitHub REST API. Use this skill when the user wants to submit changes as a pull request, following repository standards and templates.
8-agent QA loop: browser exploration via Playwright MCP, then analyze, plan, test, audit, heal, expand, snapshot. Quality gate score >= 85 to pass.
Vibe Kanban orchestration platform for AI coding agents: workspaces, sessions, task management, code review, git worktrees, multi-agent support. Keywords: Vibe Kanban, AI agents, Claude Code, Codex, Gemini, kanban board, git worktree, code review, MCP server, workspaces, sessions.
Intelligent Retrieval Assistant for Cangjie Language Documentation. Supports 4 search modes (Direct Search, PageIndex Intelligent Retrieval, Hybrid Mode, Exploratory Learning). It is used when users need to: (1) Query Cangjie syntax (variable declaration, function definition, generics, etc.), (2) Look up standard library APIs (String, Array, HashMap, etc.), (3) Learn about Cangjie features or get started with the language, (4) Conduct any documentation queries related to Cangjie/cangjie/cj. It uses four MCP tools: cangjie_docs_overview, cangjie_list_docs, cangjie_search, and cangjie_get_doc for intelligent retrieval.
Captures screenshots at multiple viewport breakpoints for responsive design validation and documentation. Use when you need to test responsive layouts, validate mobile/tablet/desktop views, document design system breakpoints, or create visual regression test baselines. Triggers on "test responsive design", "screenshot at breakpoints", "capture mobile and desktop views", "responsive design testing", or "multi-device screenshots". Works with Playwright MCP tools (browser_navigate, browser_resize, browser_take_screenshot).