Topic: autonomous-agents
981 skills in this topic.
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debate
Structured AI debate templates and synthesis. Use when orchestrating multi-round debates between AI tools, 'debate topic', 'argue about', 'stress test idea', 'devil advocate'.
agent-sh/agentsys 720
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review
Validate plans, execution, or PRs against wish criteria — returns SHIP / FIX-FIRST / BLOCKED with severity-tagged gaps.
automagik-dev/genie 280
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pm
Full PM playbook — triage backlog, prioritize, assign, track, report, escalate. Copilot, autopilot, or pair modes.
automagik-dev/genie 280
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dream
Batch-execute SHIP-ready wishes overnight — pick wishes, orchestrate workers, review PRs, wake up to results.
automagik-dev/genie 280
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trace
Dispatch trace subagent to investigate unknown issues — reproduces, traces, and reports root cause for /fix handoff.
automagik-dev/genie 280
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wizard
Guided onboarding — scaffold workspace, shape agent identity, create first wish, execute, and celebrate.
automagik-dev/genie 280
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report
Investigate bugs comprehensively — cascade through /trace, capture browser evidence, extract observability data, and auto-create a GitHub issue with all findings.
automagik-dev/genie 280
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genie
Single entry point for all genie operations — auto-routes natural language to the right skill, detects existing lifecycle state, and handles operational commands. Use when planning features, reporting bugs, managing teams, or asking about the system.
automagik-dev/genie 280
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refine
Transform a brief or prompt into a structured, production-ready prompt via prompt-optimizer. File or text mode.
automagik-dev/genie 280
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council
Convene real AI agents for multi-perspective deliberation on architecture, design, and strategy decisions.
automagik-dev/genie 280
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brainstorm
Explore ambiguous or early-stage ideas interactively — tracks wish-readiness and crystallizes into a design for /wish.
automagik-dev/genie 280
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wish
Convert an idea into a structured wish plan with scope, acceptance criteria, and execution groups for /work.
automagik-dev/genie 280
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fix
Dispatch fix subagent for FIX-FIRST gaps from /review, re-review, and escalate after 2 failed loops.
automagik-dev/genie 280
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work
Execute an approved wish plan — orchestrate subagents per task group with fix loops, validation, and review handoff.
automagik-dev/genie 280
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docs
Dispatch docs subagent to audit, generate, and validate documentation against the codebase.
automagik-dev/genie 280
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learn
Diagnose and fix agent behavioral surfaces when the user corrects a mistake — connects to Claude native memory.
automagik-dev/genie 280
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genie-hacks
Browse, search, and contribute community hacks — real-world patterns for provider switching, teams, skills, hooks, cost optimization, and more.
automagik-dev/genie 280
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
ruvnet/ruflo 31,446
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Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
ruvnet/ruflo 31,446
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AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnet/ruflo 31,446
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
ruvnet/ruflo 31,446
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flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
ruvnet/ruflo 31,446
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AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
ruvnet/ruflo 31,446
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Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
ruvnet/ruflo 31,446