Claude Skills by ruvnet

Agent skill for challenges - invoke with $agent-challenges

Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index

Agent skill for code-analyzer - invoke with $agent-code-analyzer

Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)

First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via `doctor`

Agent skill for code-goal-planner - invoke with $agent-code-goal-planner

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

Agent skill for code-review-swarm - invoke with $agent-code-review-swarm

Agent skill for coder - invoke with $agent-coder

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer

Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator

Persist and restore agent sessions across conversations with state snapshots

Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

Scan project dependencies for known vulnerabilities and CVEs

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init

Run full security scans on the codebase using Ruflo security tools

Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer

Run the SPARC Architecture and Implementation phases — design module boundaries, write pseudocode, implement code, and run tests

Agent skill for data-ml-model - invoke with $agent-data-ml-model

Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation

Agent skill for dev-backend-api - invoke with $agent-dev-backend-api

Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory

Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

Stream live swarm events using the Monitor tool for real-time observability

Agent skill for github-modes - invoke with $agent-github-modes

Initialize a multi-agent swarm with anti-drift configuration

Agent skill for github-pr-manager - invoke with $agent-github-pr-manager

TDD London School workflow -- mock-first, outside-in test development

Agent skill for goal-planner - invoke with $agent-goal-planner

Detect missing test coverage and generate test suggestions

Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator

Create reusable workflow templates with steps, conditions, and parallel execution

Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator

Execute, pause, resume, and cancel running workflows

Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder

Agent skill for issue-tracker - invoke with $agent-issue-tracker

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

Agent skill for load-balancer - invoke with $agent-load-balancer

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator

Agent skill for migration-plan - invoke with $agent-migration-plan

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

Agent skill for neural-network - invoke with $agent-neural-network

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

Agent skill for orchestrator-task - invoke with $agent-orchestrator-task

Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer

AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.