/discover-plugins
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
$ npx -y skills add ruvnet/claude-flow --skill discover-plugins --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
/discover-plugins
Context preview
The summary Claude sees to decide when to auto-load this skill.
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
SKILL.md
discover-plugins.SKILL.mdname: discover-plugins
description: Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
argument-hint: "[search-query]"
allowed-tools: mcp__plugin_ruflo-core_ruflo__transfer_plugin-search mcp__plugin_ruflo-core_ruflo__transfer_plugin-info mcp__plugin_ruflo-core_ruflo__transfer_plugin-featured mcp__plugin_ruflo-core_ruflo__transfer_plugin-official mcp__plugin_ruflo-core_ruflo__transfer_store-search mcp__plugin_ruflo-core_ruflo__transfer_store-featured mcp__plugin_ruflo-core_ruflo__transfer_store-trending mcp__plugin_ruflo-core_ruflo__transfer_store-info mcp__plugin_ruflo-core_ruflo__guidance_discover mcp__plugin_ruflo-core_ruflo__guidance_recommend mcp__plugin_ruflo-core_ruflo__guidance_capabilities mcp__plugin_ruflo-core_ruflo__mcp_status Bash Read
Discover Plugins
Find and recommend ruflo plugins for your workflow.
When to use
When starting a new project, exploring ruflo capabilities, or wondering which plugins would help with your current task.
Steps
1. **Check installed** — run `ls plugins/` to see what's already installed 2. **Browse marketplace** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-featured` for recommended plugins 3. **Search by need** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-search` with keywords matching your task 4. **Get recommendations** — call `mcp__plugin_ruflo-core_ruflo__guidance_recommend` with your current task description for personalized suggestions 5. **Check capabilities** — call `mcp__plugin_ruflo-core_ruflo__guidance_capabilities` to see what each plugin enables 6. **Show details** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-info` for full plugin details
Plugin Catalog (32 plugins)
Core & Coordination — Start here
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-core** | Always — base layer for all Ruflo work | MCP server, status, doctor, coder/researcher/reviewer agents | | **ruflo-swarm** | Multi-agent tasks (3+ files, features, refactors) | Swarm topologies (hierarchical, mesh), Monitor streaming, worktree isolation | | **ruflo-autopilot** | Autonomous task completion without manual steering | /loop-based autonomous execution, progress prediction, learning | | **ruflo-loop-workers** | Recurring background work (audits, optimization, mapping) | 12 background workers via /loop or CronCreate scheduling | | **ruflo-workflows** | Repeatable multi-step processes | Workflow templates, parallel execution, conditional branching |
Memory & Intelligence — Cross-session learning
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-agentdb** | Semantic search over code patterns, telemetry, decisions | AgentDB with HNSW vector search (150x-12,500x faster), RuVector embeddings | | **ruflo-rag-memory** | Simple key-value memory with search | Store/search/recall without full AgentDB setup | | **ruflo-rvf** | Portable memory export/import across machines | RVF format, session persistence, cross-platform transfer | | **ruflo-ruvector** | Vector embedding operations, HNSW indexing, clustering | ONNX 384-dim embeddings, hyperbolic Poincare ball, k-means/DBSCAN clustering | | **ruflo-knowledge-graph** | Entity extraction, relation mapping, graph traversal | Pathfinder algo on AgentDB causal edges, code entity graphs | | **ruflo-intelligence** | Task routing optimization, learning from outcomes | SONA neural patterns, trajectory learning, model routing with confidence | | **ruflo-daa** | Self-adapting agents that evolve behavior | Dynamic Agentic Architecture, cognitive patterns, knowledge sharing |
Architecture & Methodology — Build right
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-adr** | Document architecture decisions, check compliance | ADR create/index/supersede, code-to-ADR linking, compliance checking on diffs | | **ruflo-ddd** | Domain modeling, bounded context scaffolding | Context wizard, aggregate roots, domain events, anti-corruption layers, boundary validation | | **ruflo-sparc** | Structured development methodology | Specification-Pseudocode-Architecture-Refinement-Completion with quality gates |
Quality & Security — Ship safely
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-security-audit** | Before merging, after dependency changes | CVE scanning, dependency vulnerability checks, security reports | | **ruflo-aidefence** | Processing user input, handling untrusted data | Prompt injection detection, PII scanning, adversarial defense | | **ruflo-testgen** | After implementing features, during refactors | Test gap detection, TDD London School workflow, coverage routing | | **ruflo-browser** | UI testing, web scraping, visual validation | Playwright automation — navigate, click, screenshot, validate |
Development Tools — Build faster
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-jujutsu** | PR review, merge decisions, diff risk scoring | Diff analysis, risk classification, reviewer recommendations | | **ruflo-docs** | After API changes, before releases | Doc generation, drift detection, API documentation | | **ruflo-ruvllm** | Local LLM inference, custom model configs | RuVLLM integration, MicroLoRA fine-tuning, chat formatting | | **ruflo-agent** | Sandboxed code execution, untrusted workloads | WASM agent sandboxing, community gallery | | **ruflo-plugin-creator** | Building new ruflo plugins | Scaffold structure, validate frontmatter, test MCP references | | **ruflo-migrations** | Database schema changes | Sequential migration numbering, up/down pairs, dry-run, rollback validation | | **ruflo-observability** | Logging, tracing, metrics correlation | Structured JSON logging, distributed tracing, agent-to-app telemetry correlation | | **ruflo-cost-tracker** | Token budget management | Per-agent cost attribution, model pricing, bu
Read more
name: discover-plugins description: Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task argument-hint: "[search-query]" allowed-tools: mcp__plugin_ruflo-core_ruflo__transfer_plugin-search mcp__plugin_ruflo-core_ruflo__transfer_plugin-info mcp__plugin_ruflo-core_ruflo__transfer_plugin-featured mcp__plugin_ruflo-core_ruflo__transfer_plugin-official mcp__plugin_ruflo-core_ruflo__transfer_store-search mcp__plugin_ruflo-core_ruflo__transfer_store-featured mcp__plugin_ruflo-core_ruflo__transfer_store-trending mcp__plugin_ruflo-core_ruflo__transfer_store-info mcp__plugin_ruflo-core_ruflo__guidance_discover mcp__plugin_ruflo-core_ruflo__guidance_recommend mcp__plugin_ruflo-core_ruflo__guidance_capabilities mcp__plugin_ruflo-core_ruflo__mcp_status Bash Read
Discover Plugins
Find and recommend ruflo plugins for your workflow.
When to use
When starting a new project, exploring ruflo capabilities, or wondering which plugins would help with your current task.
Steps
1. **Check installed** — run `ls plugins/` to see what's already installed 2. **Browse marketplace** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-featured` for recommended plugins 3. **Search by need** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-search` with keywords matching your task 4. **Get recommendations** — call `mcp__plugin_ruflo-core_ruflo__guidance_recommend` with your current task description for personalized suggestions 5. **Check capabilities** — call `mcp__plugin_ruflo-core_ruflo__guidance_capabilities` to see what each plugin enables 6. **Show details** — call `mcp__plugin_ruflo-core_ruflo__transfer_plugin-info` for full plugin details
Plugin Catalog (32 plugins)
Core & Coordination — Start here
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-core** | Always — base layer for all Ruflo work | MCP server, status, doctor, coder/researcher/reviewer agents | | **ruflo-swarm** | Multi-agent tasks (3+ files, features, refactors) | Swarm topologies (hierarchical, mesh), Monitor streaming, worktree isolation | | **ruflo-autopilot** | Autonomous task completion without manual steering | /loop-based autonomous execution, progress prediction, learning | | **ruflo-loop-workers** | Recurring background work (audits, optimization, mapping) | 12 background workers via /loop or CronCreate scheduling | | **ruflo-workflows** | Repeatable multi-step processes | Workflow templates, parallel execution, conditional branching |
Memory & Intelligence — Cross-session learning
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-agentdb** | Semantic search over code patterns, telemetry, decisions | AgentDB with HNSW vector search (150x-12,500x faster), RuVector embeddings | | **ruflo-rag-memory** | Simple key-value memory with search | Store/search/recall without full AgentDB setup | | **ruflo-rvf** | Portable memory export/import across machines | RVF format, session persistence, cross-platform transfer | | **ruflo-ruvector** | Vector embedding operations, HNSW indexing, clustering | ONNX 384-dim embeddings, hyperbolic Poincare ball, k-means/DBSCAN clustering | | **ruflo-knowledge-graph** | Entity extraction, relation mapping, graph traversal | Pathfinder algo on AgentDB causal edges, code entity graphs | | **ruflo-intelligence** | Task routing optimization, learning from outcomes | SONA neural patterns, trajectory learning, model routing with confidence | | **ruflo-daa** | Self-adapting agents that evolve behavior | Dynamic Agentic Architecture, cognitive patterns, knowledge sharing |
Architecture & Methodology — Build right
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-adr** | Document architecture decisions, check compliance | ADR create/index/supersede, code-to-ADR linking, compliance checking on diffs | | **ruflo-ddd** | Domain modeling, bounded context scaffolding | Context wizard, aggregate roots, domain events, anti-corruption layers, boundary validation | | **ruflo-sparc** | Structured development methodology | Specification-Pseudocode-Architecture-Refinement-Completion with quality gates |
Quality & Security — Ship safely
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-security-audit** | Before merging, after dependency changes | CVE scanning, dependency vulnerability checks, security reports | | **ruflo-aidefence** | Processing user input, handling untrusted data | Prompt injection detection, PII scanning, adversarial defense | | **ruflo-testgen** | After implementing features, during refactors | Test gap detection, TDD London School workflow, coverage routing | | **ruflo-browser** | UI testing, web scraping, visual validation | Playwright automation — navigate, click, screenshot, validate |
Development Tools — Build faster
| Plugin | When to use | What it adds | |--------|-------------|-------------| | **ruflo-jujutsu** | PR review, merge decisions, diff risk scoring | Diff analysis, risk classification, reviewer recommendations | | **ruflo-docs** | After API changes, before releases | Doc generation, drift detection, API documentation | | **ruflo-ruvllm** | Local LLM inference, custom model configs | RuVLLM integration, MicroLoRA fine-tuning, chat formatting | | **ruflo-agent** | Sandboxed code execution, untrusted workloads | WASM agent sandboxing, community gallery | | **ruflo-plugin-creator** | Building new ruflo plugins | Scaffold structure, validate frontmatter, test MCP references | | **ruflo-migrations** | Database schema changes | Sequential migration numbering, up/down pairs, dry-run, rollback validation | | **ruflo-observability** | Logging, tracing, metrics correlation | Structured JSON logging, distributed tracing, agent-to-app telemetry correlation | | **ruflo-cost-tracker** | Token budget management | Per-agent cost attribution, model pricing, bu
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

