agent-skill-bus

A self-improving task orchestration framework for AI agent systems.

Built by 合同会社みやび (LLC Miyabi) — Running 42 AI agents in production daily.

[](https://opensource.org/licenses/MIT)

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Agent Skill Bus is a framework-agnostic toolkit for orchestrating, monitoring, and self-improving AI agent skills. It consists of three integrated modules:

| Module | Purpose | Standalone? | |--------|---------|-------------| | Prompt Request Bus | DAG-based task queue with dependency resolution & file locking | ✅ Yes | | Self-Improving Skills | Automatic skill quality monitoring & repair loop | ✅ Yes | | Knowledge Watcher | External change detection → automatic improvement triggers | ✅ Yes |

They work independently, but together they form a closed-loop self-improving agent system:

External Changes ──→ Knowledge Watcher ──→ Prompt Request Bus ──→ Execute
                                                ↑                    │
                                                │                    ↓
                                          Self-Improving ←── Skill Runs Log
                                             Skills

Most agent frameworks handle execution (LangGraph, CrewAI, AutoGen). None handle operational health:

• 🔴 Skills silently degrade — An API changes, a model updates, auth expires. Nobody notices until it fails in production.
• 🔴 Tasks collide — Two agents edit the same file simultaneously. Data corruption.
• 🔴 No dependency management — Complex tasks need A→B→C ordering. Most systems just run everything in parallel.
• 🔴 No learning loop — Failures repeat because there's no feedback mechanism.

Agent Skill Bus solves all four.

# One command to set up everything
npx agent-skill-bus init

# Log a skill execution
npx agent-skill-bus record-run --ag