/rvf-manage
Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
$ npx -y skills add ruvnet/claude-flow --skill rvf-manage --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
/rvf-manage
Context preview
The summary Claude sees to decide when to auto-load this skill.
Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
SKILL.md
rvf-manage.SKILL.mdname: rvf-manage
description: Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
argument-hint: "<import|export|list|migrate|stats|delete> [options]"
allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_delete mcp__plugin_ruflo-core_ruflo__memory_stats mcp__plugin_ruflo-core_ruflo__memory_import_claude mcp__plugin_ruflo-core_ruflo__memory_migrate mcp__plugin_ruflo-core_ruflo__hooks_transfer Bash
RVF Management
Manage RVF files for portable, transferable agent memory.
When to use
When you need to export agent memory to RVF format for backup, transfer between projects, or share knowledge between teams.
Steps
1. **List memories** — call `mcp__plugin_ruflo-core_ruflo__memory_list` to see all stored memories 2. **Export** — use the `mcp__plugin_ruflo-core_ruflo__hooks_transfer` tool with `store` action to export patterns 3. **Import** — call `mcp__plugin_ruflo-core_ruflo__memory_import_claude` to import from Claude Code memories 4. **Migrate** — call `mcp__plugin_ruflo-core_ruflo__memory_migrate` for format upgrades 5. **Stats** — call `mcp__plugin_ruflo-core_ruflo__memory_stats` for storage metrics
RVF format
RVF (Ruflo Vector Format) stores:
- Vector embeddings (384-dim ONNX)
- Metadata (timestamps, namespaces, tags)
- Causal relationships between entries
- Session context and agent scope
Transfer between projects
npx @claude-flow/cli@latest hooks transfer store --pattern "project-knowledge"
npx @claude-flow/cli@latest hooks transfer from-project --source /path/to/other/project
Read more
name: rvf-manage description: Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer argument-hint: "<import|export|list|migrate|stats|delete> [options]" allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_delete mcp__plugin_ruflo-core_ruflo__memory_stats mcp__plugin_ruflo-core_ruflo__memory_import_claude mcp__plugin_ruflo-core_ruflo__memory_migrate mcp__plugin_ruflo-core_ruflo__hooks_transfer Bash
RVF Management
Manage RVF files for portable, transferable agent memory.
When to use
When you need to export agent memory to RVF format for backup, transfer between projects, or share knowledge between teams.
Steps
1. **List memories** — call `mcp__plugin_ruflo-core_ruflo__memory_list` to see all stored memories 2. **Export** — use the `mcp__plugin_ruflo-core_ruflo__hooks_transfer` tool with `store` action to export patterns 3. **Import** — call `mcp__plugin_ruflo-core_ruflo__memory_import_claude` to import from Claude Code memories 4. **Migrate** — call `mcp__plugin_ruflo-core_ruflo__memory_migrate` for format upgrades 5. **Stats** — call `mcp__plugin_ruflo-core_ruflo__memory_stats` for storage metrics
RVF format
RVF (Ruflo Vector Format) stores:
- Vector embeddings (384-dim ONNX)
- Metadata (timestamps, namespaces, tags)
- Causal relationships between entries
- Session context and agent scope
Transfer between projects
npx @claude-flow/cli@latest hooks transfer store --pattern "project-knowledge" npx @claude-flow/cli@latest hooks transfer from-project --source /path/to/other/project
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