ReddRadar
Topic: multi-agent
1,931 skills in this topic.
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execute
Execute an approved Maestro implementation plan using the shared session-state contract
josstei/maestro-orchestrate 319
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orchestrate
Run the full Maestro workflow for tasks that need design dialogue, implementation planning, shared session state, delegated execution, and review
josstei/maestro-orchestrate 319
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resume
Resume the active Maestro session from docs/maestro state
josstei/maestro-orchestrate 319
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code-review
Standalone code review methodology for structured, severity-classified code assessment
josstei/maestro-orchestrate 319
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delegation
Agent delegation best practices for constructing effective subagent prompts with proper scoping
josstei/maestro-orchestrate 319
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design-dialogue
Guides structured design conversations for complex engineering tasks
josstei/maestro-orchestrate 319
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execution
Phase execution methodology for orchestration workflows with error handling and completion protocols
josstei/maestro-orchestrate 319
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implementation-planning
Generates detailed implementation plans from finalized designs
josstei/maestro-orchestrate 319
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session-management
Manages orchestration session state, tracking, and resumption
josstei/maestro-orchestrate 319
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validation
Cross-cutting validation methodology for verifying phase outputs and project integrity
josstei/maestro-orchestrate 319
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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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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
ruvnet/ruflo 31,446
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
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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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
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swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
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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ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
ruvnet/ruflo 31,446
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ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
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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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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agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet/ruflo 31,446
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AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
ruvnet/ruflo 31,446
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AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
ruvnet/ruflo 31,446