Skill UI

Review signed coordination evidence across RuFlo Federation channels, inspect recent messages, channel activity, and work-claim history for inconsistencies without changing shared state.

Guides users through connecting to RuFlo Federation via the public x.ruv.io MCP service, covering onboarding, gateway identity, channel listing, and optional presence announcements.

Observe and summarize the public RuFlo Federation gateway: identify the gateway, list channels, check active claims, and read recent agent activity through public MCP tools.

This skill provides a detailed, side-by-side comparison of advanced LLM agent evaluation frameworks, such as ruflo and HAL. It helps researchers and developers identify capability gaps—including real code execution, full web browsing, and structured file parsing—and prioritize architectural improvements for robust agent benchmarking and performance tracking.

This utility initializes a brand-new Ruflo project environment. It sets up all necessary underlying components, including MCP tools, hooks, and agent configurations. It is essential for developers starting a project in a fresh repository, allowing selection between standard, minimal, or full presets to bootstrap the entire system.

This utility diagnoses and automatically repairs common issues within the Ruflo installation environment. It performs comprehensive health checks on core dependencies like Node.js, npm, and git, while also validating configurations, daemon status, memory databases, and API keys. It provides targeted commands to resolve issues related to memory initialization, daemon startup, and configuration resets, ensuring a stable operational environment.

This tool manages RVF (Ruflo Vector Format) files, providing comprehensive functions for handling, transferring, and backing up agent memories. It supports listing, exporting, importing, migrating, and generating statistics for complex vector embeddings and associated metadata, ensuring knowledge portability across different projects and platforms.

Ruflo is a powerful, cross-agent orchestration layer designed to manage complex, multi-step AI coding workflows. It supports coordinating large swarms of AI agents, managing persistent memory through semantic search, and executing sophisticated pipelines using 30+ specialized plugins. Ideal for large-scale development tasks, system benchmarking, and deep research requiring coordinated agent effort.

This skill helps diagnose the health and gather comprehensive status reports for the Ruflo system, including the MCP server and active agents. It provides a read-only workflow to check system status or, when explicitly requested, performs a non-destructive repair and reports the changes.

Join and operate a signed agentbbs federation across hosts: pin peers, serve rooms, sync messages, and coordinate work claims using verified node identities.

Plan and create a bounded RuFlo AI team from a reviewed goal, including roles, tasks, budget, and risks, without external side effects or arbitrary commands.

Pause, resume, or complete a RuFlo AI team while preserving its tenant-local evidence. This skill reads current state, explains that pausing or completing only changes coordination state, and preserves evidence. It has no data-deletion, public-sharing, or external-action capabilities.