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Found 7,592 Skills
Mandatory orchestrator protocol - establishes ORCHESTRATOR principle (dispatch agents, don't operate directly) and skill discovery workflow for every conversation.
Comprehensive skill for Graphiti and Zep - temporal knowledge graph framework for AI agents with dynamic context engineering
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building workflows with drag-and-drop. Supports hundreds of LLMs, Docker/Kubernetes deployment.
Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework
12 pre-dev workflow skills + 4 research agents organized into Small Track (4 gates, <2 days) and Large Track (9 gates, 2+ days) for systematic feature planning with research-first approach.
Design new APIs or review existing ones using debate-driven multi-agent workshop. Agents propose designs and challenge each other on consumer UX, domain modeling, security, performance, and standards compliance. Use when the user wants to design a new API, review an existing API, decide between REST/GraphQL, or improve API architecture. Keywords: api design, api review, rest api, graphql, openapi, api architecture, api specification, endpoint design, api standards.
Use when converting a design document, PRD, or task list into beads issues - ensures lossless conversion with proper epic hierarchy, validated dependencies for maximum parallelization, and three independent subagent review passes before execution
Use Beads (bd tool) for dependency-aware task tracking and long-horizon planning in coding projects. This skill should be used when working on complex multi-step projects that span multiple agent sessions, when discovering new work during implementation, or when explicit task dependency management would improve workflow organization and prevent context loss between sessions.
Phase-level implementation workflow for builder agents. Handles reading phase files, finding references, invoking domain skills, implementing all steps, and running verification (tests + typecheck). Preloaded into builder agents via skills: field — not user-invocable.
Create implementation plans with tasks grouped by subsystem. Related tasks share agent context; groups parallelize across subsystems.
Multi-agent routing, channel bindings, and tool policies
Use when implementation is complete, all tests pass, and the agent is operating inside a Grove workspace that needs to be resolved or cleaned up