/ruflo-status
Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
$ npx -y skills add ruvnet/claude-flow --skill ruflo-status --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ruflo-status
Context preview
The summary Claude sees to decide when to auto-load this skill.
Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
SKILL.md
ruflo-status.SKILL.mdname: ruflo-status description: Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation argument-hint: "[--fix]" allowed-tools: Bash(npx *)
Ruflo status
Use this skill when the user asks for Ruflo health, diagnostics, MCP server state, or active-agent status.
Default read-only workflow
Run these commands in order:
npx @claude-flow/cli@latest doctor npx @claude-flow/cli@latest status
Summarize the diagnostics and status together. Do not repair, reset, start, stop, install, or otherwise change anything during the default workflow.
Explicit repair workflow
Only when the user explicitly asks to fix or auto-repair the installation, replace the first command with:
npx @claude-flow/cli@latest doctor --fix npx @claude-flow/cli@latest status
Report what the repair changed and the resulting status. Never infer authorization for `doctor --fix` from a request to check or diagnose Ruflo.
An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.
Repo: ruvnet/claude-flow
Other skills on claude-flow.
- /agentdb-advanced
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, multi-agent coordination, or advanced vector search applications.
Open skill - /agentdb-learning
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.
Open skill - /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.
Open skill - /agentdb-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.
Open skill - /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.
Open skill - /agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Open skill