Loading...
Loading...
Found 358 Skills
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.
oh-my-claudecode — Teams-first multi-agent orchestration layer for Claude Code. 32 specialized agents, smart model routing, persistent execution loops, and real-time HUD visibility. Zero learning curve.
Multi-agent orchestration layer for OpenAI Codex CLI. Provides 30 specialized agents, 40+ workflow skills, team orchestration in tmux, persistent MCP servers, and staged pipeline execution.
Produce programmable videos with Remotion using scene planning, asset orchestration, and validation gates for automated, brand-consistent video content.
Generate a Product Requirements Document (PRD) for ralph-tui task orchestration. Creates PRDs with user stories that can be converted to beads issues or prd.json for automated execution. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
Manage and trigger pre-built Zapier workflows and MCP tool orchestration. Use when user mentions workflows, Zaps, automations, daily digest, research, search, lead tracking, expenses, or asks to "run" any process. Also handles Perplexity-based research and Google Sheets data tracking.
Single entry point for one-shot, end-to-end DatoCMS project setup orchestration — the only skill that bundles prerequisites, chains related recipes, and takes a greenfield or partially configured project to a working state in one pass. Covers five setup lanes: (1) frontend foundation (bootstrap a new Next.js/Nuxt/SvelteKit/Astro integration from scratch); (2) frontend features (draft mode, visual editing, web previews, content link, real-time updates, responsive images, SEO, robots/sitemaps, site search, revalidation/cache tags — applied together with their prerequisites); (3) migrations (CLI profiles, baseline migrations, shared histories, release workflow, sandbox reset loops, diff-based generation); (4) onboarding imports (WordPress, Contentful — content plus assets); (5) platform automation (CMA scripting patterns and project-level automation). Use when the user wants a named outcome scaffolded in full rather than a single file patched, when multiple related features need to land together (e.g. "set up visual editing" implies draft mode + content link + web previews), or when the request is a broad "set up X" that needs routing to the smallest matching recipe bundle.
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development methodology. Use when creating SPEC documents, writing EARS requirements, defining acceptance criteria, planning features, or orchestrating the /moai plan phase. Do NOT use for implementation (use moai-workflow-ddd instead) or documentation generation (use moai-workflow-project instead).
Use this skill when you see `/omo`. Multi-agent orchestration for "code analysis / bug investigation / fix planning / implementation". Choose the minimal agent set and order based on task type + risk; recipes below show common patterns.