ReddRadar
Topic: autonomous-agents
981 skills in this topic.
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V3 CLI Modernization
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
ruvnet/ruflo 31,446
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Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/ruflo 31,446
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memory-management
AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.
ruvnet/ruflo 31,446
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sparc-methodology
SPARC development workflow (Specification, Pseudocode, Architecture, Refinement, Completion). Use when: new features, complex implementations, architectural changes. Skip when: simple fixes, documentation, configuration.
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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V3 Performance Optimization
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
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-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/ruflo 31,446
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github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
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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flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
ruvnet/ruflo 31,446
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/ruflo 31,446
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agent-swarm-memory-manager
Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
ruvnet/ruflo 31,446
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agent-scout-explorer
Agent skill for scout-explorer - invoke with $agent-scout-explorer
ruvnet/ruflo 31,446
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agent-user-tools
Agent skill for user-tools - invoke with $agent-user-tools
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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swarm-orchestration
Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick exploration.
ruvnet/ruflo 31,446
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agent-automation-smart-agent
Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent
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
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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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agent-load-balancer
Agent skill for load-balancer - invoke with $agent-load-balancer
ruvnet/ruflo 31,446
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agent-workflow-automation
Agent skill for workflow-automation - invoke with $agent-workflow-automation
ruvnet/ruflo 31,446
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agent-orchestrator-task
Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
ruvnet/ruflo 31,446
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agent-pr-manager
Agent skill for pr-manager - invoke with $agent-pr-manager
ruvnet/ruflo 31,446