agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Initialize a multi-agent swarm with anti-drift configuration. Use when starting a complex multi-file task that needs 3+ coordinated agents (feature implementation, refactor across modules, security audit). Skip for single-file edits or quick questions.
$ npx -y skills add ruvnet/ruflo --skill swarm-init --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/swarm-initContext preview
The summary Claude sees to decide when to auto-load this skill.
Initialize a multi-agent swarm with anti-drift configuration. Use when starting a complex multi-file task that needs 3+ coordinated agents (feature implementation, refactor across modules, security audit). Skip for single-file edits or quick questions.
name: swarm-init description: Initialize a multi-agent swarm with anti-drift configuration. Use when starting a complex multi-file task that needs 3+ coordinated agents (feature implementation, refactor across modules, security audit). Skip for single-file edits or quick questions. argument-hint: "[--topology hierarchical|mesh|hierarchical-mesh|ring|star|adaptive]" allowed-tools: Bash(npx *) mcp__plugin_ruflo-core_ruflo__swarm_init mcp__plugin_ruflo-core_ruflo__swarm_status Task SendMessage
Initialize a hierarchical swarm for coordinated multi-agent work.
Via MCP: `mcp__plugin_ruflo-core_ruflo__swarm_init({ topology: "hierarchical", maxAgents: 8, strategy: "specialized" })`
Or via CLI:
npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized
Then spawn named agents in ONE message via Claude Code's `Task` tool with `name:` (for `SendMessage` addressability) and `run_in_background: true` (for parallel execution). Use `EnterWorktree` per agent for git-safe parallel work, and `SendMessage` for inter-agent coordination.
For larger teams (10+), use hierarchical-mesh topology:
npx @claude-flow/cli@latest swarm init --topology hierarchical-mesh --max-agents 15 --strategy specialized
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/ruflo
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination