ruvnet/ruflo - Page 5

cost-trend

Read every docs/benchmarks/runs/*.json and surface drift in win rate, latency, escalation rate, and LLM-baseline cost over time

cost-compact-context

Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved

cost-benchmark

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

cost-booster-edit

Apply a simple code transform via agent-booster's WASM engine — sub-millisecond, deterministic, $0 (no LLM call). Companion to cost-booster-route.

browser-scrape

DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0

vector-setup

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

ruflo-doctor

Run health checks on the Ruflo installation and fix common issues

agentdb-advanced-features

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…

hooks-automation

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced…

agentic-jujutsu

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

flow-nexus-neural

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

flow-nexus-swarm

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

hive-mind-advanced

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

performance-analysis

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

sparc-methodology

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

swarm-advanced

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

worker-benchmarks

Run comprehensive worker system benchmarks and performance analysis

worker-integration

Worker-Agent integration for intelligent task dispatch and performance tracking

add-model-descriptions

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…

memory-management

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar…

security-audit

Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user…

sparc-methodology

SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations,…

swarm-orchestration

Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module…

agent-adaptive-coordinator

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

agent-agent

Agent skill for agent - invoke with $agent-agent

agent-agentic-payments

Agent skill for agentic-payments - invoke with $agent-agentic-payments

agent-analyze-code-quality

Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality

agent-app-store

Agent skill for app-store - invoke with $agent-app-store

agent-arch-system-design

Agent skill for arch-system-design - invoke with $agent-arch-system-design

agent-architecture

Agent skill for architecture - invoke with $agent-architecture

agent-authentication

Agent skill for authentication - invoke with $agent-authentication

agent-automation-smart-agent

Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent

agent-base-template-generator

Agent skill for base-template-generator - invoke with $agent-base-template-generator

agent-benchmark-suite

Agent skill for benchmark-suite - invoke with $agent-benchmark-suite

agent-byzantine-coordinator

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

agent-challenges

Agent skill for challenges - invoke with $agent-challenges

agent-code-analyzer

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

agent-code-goal-planner

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

agent-code-review-swarm

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