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agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
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tools llm ai AI Skills
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agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems,...
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GitHub
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 d...
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GitHub
hooks-automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination,...
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GitHub
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-learnin...
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GitHub
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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GitHub
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
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GitHub
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, impleme...
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GitHub
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...
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GitHub
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 intell...
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GitHub
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
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GitHub
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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GitHub
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.
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GitHub
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
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GitHub
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 knowledg...
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GitHub
parallel-agents
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
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GitHub
create-skill
Guide for authoring agent skills. Use when creating new skills, writing SKILL.md files, or improving existing skills.
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GitHub
prompt-engineering
Techniques for writing effective LLM prompts. Use when crafting system prompts, optimizing agent instructions, or improving model outputs.
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GitHub
skill-authoring
Create new Claude Code skills with proper structure, YAML frontmatter, and best practices
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GitHub
plan
Generate execution plans from user queries through intake, research, specification, and validation. Use when user provides any query (vague to specific) and needs an executable plan for /execute skill.
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GitHub
orchestrate-spec
Auto-detects next pending Smart Orchestrator component, spawns 2-3 research agents, generates evidence-backed specs, validates, and offers optional implementation with automatic progress tracking.
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GitHub
langgraph-builder
Use when creating a new LangGraph graph. Start with a minimal graph and iterate.
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GitHub
langgraph-patterns
Advanced LangGraph patterns for production applications. Use when implementing streaming (tokens, updates, custom data), parallel node execution, subgraphs for modular workflows, error handling and retries, or...
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GitHub
langgraph-fundamentals
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state...
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