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Discover Plugins

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ruvnet
discover-plugins

Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task

Overview

Publisherruvnet
Repositoryruflo
Skill namediscover-plugins
Stars
72.7K
Forks
8.6K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Discover Plugins AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/plugins/ruflo-core/skills/discover-plugins .claude/skills/discover-plugins
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Discover Plugins in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Discover Plugins on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Discover Plugins is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

PluginWhen to useWhat it adds
ruflo-coreAlways — base layer for all Ruflo workMCP server, status, doctor, coder/researcher/reviewer agents
ruflo-swarmMulti-agent tasks (3+ files, features, refactors)Swarm topologies (hierarchical, mesh), Monitor streaming, worktree isolation
ruflo-autopilotAutonomous task completion without manual steering/loop-based autonomous execution, progress prediction, learning
ruflo-loop-workersRecurring background work (audits, optimization, mapping)12 background workers via /loop or CronCreate scheduling
ruflo-workflowsRepeatable multi-step processesWorkflow templates, parallel execution, conditional branching

Memory & Intelligence — Cross-session learning

PluginWhen to useWhat it adds
ruflo-agentdbSemantic search over code patterns, telemetry, decisionsAgentDB with HNSW vector search (150x-12,500x faster), RuVector embeddings
ruflo-rag-memorySimple key-value memory with searchStore/search/recall without full AgentDB setup
ruflo-rvfPortable memory export/import across machinesRVF format, session persistence, cross-platform transfer
ruflo-ruvectorVector embedding operations, HNSW indexing, clusteringONNX 384-dim embeddings, hyperbolic Poincare ball, k-means/DBSCAN clustering
ruflo-knowledge-graphEntity extraction, relation mapping, graph traversalPathfinder algo on AgentDB causal edges, code entity graphs
ruflo-intelligenceTask routing optimization, learning from outcomesSONA neural patterns, trajectory learning, model routing with confidence
ruflo-daaSelf-adapting agents that evolve behaviorDynamic Agentic Architecture, cognitive patterns, knowledge sharing

Architecture & Methodology — Build right

PluginWhen to useWhat it adds
ruflo-adrDocument architecture decisions, check complianceADR create/index/supersede, code-to-ADR linking, compliance checking on diffs
ruflo-dddDomain modeling, bounded context scaffoldingContext wizard, aggregate roots, domain events, anti-corruption layers, boundary validation
ruflo-sparcStructured development methodologySpecification-Pseudocode-Architecture-Refinement-Completion with quality gates

Quality & Security — Ship safely

PluginWhen to useWhat it adds
ruflo-security-auditBefore merging, after dependency changesCVE scanning, dependency vulnerability checks, security reports
ruflo-aidefenceProcessing user input, handling untrusted dataPrompt injection detection, PII scanning, adversarial defense
ruflo-testgenAfter implementing features, during refactorsTest gap detection, TDD London School workflow, coverage routing
ruflo-browserUI testing, web scraping, visual validationPlaywright automation — navigate, click, screenshot, validate

Development Tools — Build faster

PluginWhen to useWhat it adds
ruflo-jujutsuPR review, merge decisions, diff risk scoringDiff analysis, risk classification, reviewer recommendations
ruflo-docsAfter API changes, before releasesDoc generation, drift detection, API documentation
ruflo-ruvllmLocal LLM inference, custom model configsRuVLLM integration, MicroLoRA fine-tuning, chat formatting
ruflo-agentSandboxed code execution, untrusted workloadsWASM agent sandboxing, community gallery
ruflo-plugin-creatorBuilding new ruflo pluginsScaffold structure, validate frontmatter, test MCP references
ruflo-migrationsDatabase schema changesSequential migration numbering, up/down pairs, dry-run, rollback validation
ruflo-observabilityLogging, tracing, metrics correlationStructured JSON logging, distributed tracing, agent-to-app telemetry correlation
ruflo-cost-trackerToken budget managementPer-agent cost attribution, model pricing, budget alerts, optimization recommendations

Domain-Specific — Specialized workloads

PluginWhen to useWhat it adds
ruflo-goalsLong-horizon planning, multi-session researchGOAP algorithm, deep research orchestration, horizon tracking, synthesis
ruflo-federationCross-installation agent coordinationZero-trust peer discovery, mTLS auth, consensus routing, compliance audit
ruflo-iot-cognitumCognitum Seed hardware device management5-tier device trust, telemetry anomaly detection (Z-score), fleet firmware rollouts, witness chain verification, SONA + AgentDB integration
ruflo-neural-traderTrading strategy development and backtestingZ-score market anomalies, SONA trajectory strategies, walk-forward backtesting, portfolio optimization
ruflo-market-dataMarket data ingestion and pattern matchingOHLCV vectorization, candlestick pattern detection, HNSW-indexed historical search

Decision Guide

"I need to..." → Use this plugin:

  • Build a feature → ruflo-core + ruflo-swarm + ruflo-testgen
  • Fix a bug → ruflo-core + ruflo-jujutsu (for diff analysis)
  • Audit security → ruflo-security-audit + ruflo-aidefence
  • Run background tasks → ruflo-loop-workers + ruflo-autopilot
  • Search past decisions → ruflo-agentdb + ruflo-rag-memory
  • Plan a multi-week effort → ruflo-goals (horizon tracking)
  • Manage IoT devices → ruflo-iot-cognitum
  • Coordinate remote agents → ruflo-federation
  • Test UI changes → ruflo-browser
  • Generate docs → ruflo-docs
  • Create a new plugin → ruflo-plugin-creator
  • Document architecture decisions → ruflo-adr
  • Scaffold domain models → ruflo-ddd
  • Follow SPARC methodology → ruflo-sparc
  • Develop trading strategies → ruflo-neural-trader + ruflo-market-data
  • Work with vector embeddings → ruflo-ruvector
  • Build knowledge graphs → ruflo-knowledge-graph
  • Manage database migrations → ruflo-migrations
  • Add observability → ruflo-observability
  • Track token costs → ruflo-cost-tracker

Install any plugin

/plugin marketplace add ruvnet/ruflo
/plugin install <plugin-name>@ruflo

Frequently asked questions

What does the Discover Plugins AI skill do?

Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task

Why use Discover Plugins on TypingMind?

Because you install it once and use it with any model. Discover Plugins is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Discover Plugins in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-core/skills/discover-plugins. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Discover Plugins?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Discover Plugins?

As many as you like. As long as a model supports skills, you can use Discover Plugins with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Discover Plugins AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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