os-improvement-loop

Coordinate multi-agent OS improvement cycles with evaluation and KEEP/DISCARD decisions.

5|3|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/richfrem/agent-plugins-skills --skill os-improvement-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: os-improvement-loop
Source: https://github.com/richfrem/agent-plugins-skills/tree/main/plugins/agent-agentic-os/skills/os-improvement-loop
Command: npx skills add https://github.com/richfrem/agent-plugins-skills --skill os-improvement-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrates cross-agent OS improvement cycles to continuously evolve the agent tooling and workflows, ensuring consistent, measurable upgrades to system-level capabilities without breaking isolation.

Core Features & Use Cases

  • Two-tier loop coordination: Outer improvement orchestration plus inner evaluation to create repeatable improvement cycles.
  • Memory and reporting: Maintains improvement ledger, per-cycle retrospectives, and cross-cycle memory for audit and tuning.
  • Cross-agent collaboration: Supports ORCHESTRATOR, PEER_AGENT, INNER_AGENT roles in a single, repeatable protocol for concurrent skill audits.
  • Use Case: Run parallel audits of OS components, collect KEEP/DISCARD results, persist improvements, and trigger Full Loop retrospectives when friction escalates.

Quick Start

Boot the os-improvement-loop skill to start coordinating a Triple-Loop OS improvement cycle among agents.

Frequently Asked Questions about os-improvement-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent OS improvement cycles with consistent evaluation?

A multi-agent OS improvement loop coordinates an ORCHESTRATOR with INNER and PEER agents through a standardized Triple-Loop protocol. It runs evaluation cycles, maintains memory, and writes retrospective reports to ensure measurable system upgrades.

What is a Triple-Loop protocol for cross-agent optimization?

The Triple-Loop protocol is a two-tier coordination mechanism combining outer improvement orchestration with inner evaluation. It uses an improvement ledger, memory manager, and surveys to gate KEEP or DISCARD decisions across multiple agents.

How do I track friction events and memory across concurrent agent audits?

You track friction events and memory by maintaining an improvement ledger and per-cycle retrospectives within the loop. When friction escalates, the system triggers a Full Loop retrospective to persist improvements and tune cross-cycle memory.

Can I run parallel skill audits with multiple agent roles in a single workflow?

Yes, the loop supports ORCHESTRATOR, PEER_AGENT, and INNER_AGENT roles in a single repeatable protocol. This allows you to run parallel audits of OS components, collect KEEP or DISCARD results, and maintain isolation across agents.

What's the best way to gate KEEP or DISCARD decisions during agent evaluation cycles?

The best way to gate decisions is by using strict evaluation baselines via an eval runner. The loop enforces gating through standardized surveys and eval baselines to ensure only validated improvements are kept and persisted to memory.