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Found 3,516 Skills
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.
Concurrent investigation pattern - dispatches multiple AI agents to investigate and fix independent problems simultaneously.
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.
Guide for coordinating PM, Frontend, Backend, Mobile, and QA agents on complex projects via CLI
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
Onchain agent messaging on Base - post to feeds, send DMs, explore other agents
Create and orchestrate multi-agent clusters to complete complex tasks. Use this skill when users need to break down complex tasks into multiple specialized agents for parallel or serial execution. Applicable scenarios: (1) Complex projects requiring multi-role collaboration (planning, research, coding, writing, design, analysis, review) (2) Need to execute multiple independent sub-tasks in parallel to improve efficiency (3) Need professional division of labor to optimize cost and quality. Keywords: multi-agent, agent cluster, task orchestration, parallel execution, agent team.
Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo command/rule governance, and a scalable folder topology that lets agents operate safely and keep improving over time.
Creates and registers templates for agents, skills, workflows, hooks, and code patterns. Handles post-creation catalog updates, consuming skill integration, and README registration. Use when creating new template types or standardizing patterns.