evolve

Automate end-to-end OODA-loop management with configurable safety and scoring.

5|1|Updated Mar 29, 2026

Search Tags:#automation #orchestrator #decision-making #auditable #multi-domain #oda-loop

Ready to run

npx skills add https://github.com/mataeil/OODA-loop --skill evolve-mataeil

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: evolve
Source: https://github.com/mataeil/OODA-loop/tree/main/skills/evolve
Command: npx skills add https://github.com/mataeil/OODA-loop --skill evolve-mataeil

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end OODA-loop management across multiple domains, enabling continuousObserve-Orient-Decide-Act cycles with centralized governance.

Core Features & Use Cases

Autonomous OODA loop orchestration: coordinates observe, orient, decide, and act cycles with configurable safety and scoring.
Multi-domain prioritization: tracks domain states, confidence, memos, and action queues to determine which domain to act on next.
Auditable decision process: records decisions, orient summaries, and memo adjustments for reproducibility and auditing.

Quick Start

Run /evolve to start autonomous OODA-loop cycles across your domains.

Frequently Asked Questions about evolve

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

FAQPage Schema

How do I automate OODA loop management for iterative decision-making tasks?▼

Automating OODA loop management involves orchestrating continuous observe, orient, decide, and act cycles across multiple domains. This Skill coordinates those cycles with modular state tracking, confidence updates, and configurable safety scoring for auditable actions.

What is autonomous OODA loop orchestration in software automation pipelines?▼

Autonomous OODA loop orchestration is the end-to-end coordination of observe, orient, decide, and act cycles within automation pipelines. It applies centralized governance to track domain states, memos, and action queues to determine the next optimal action.

Can I track multi-domain prioritization and confidence updates in an automated OODA loop?▼

Yes, multi-domain prioritization tracks domain states, confidence levels, memos, and action queues. This determines which domain requires action next while recording orient summaries and memo adjustments for reproducibility and auditing.

How do I make automated decision-making processes auditable and reproducible?▼

To make automated decision-making auditable, the system records decisions, orient summaries, and memo adjustments throughout the OODA cycle. This ensures every action and confidence update remains reproducible for later review.

Does this OODA loop orchestrator support configurable safety and scoring for software projects?▼

Yes, the OODA loop orchestrator supports configurable safety and scoring mechanisms tailored for software projects. It applies these configurations during the decide and act phases to ensure actions meet governance requirements.

What are the limitations of using a centralized OODA loop orchestrator for automation pipelines?▼

A centralized OODA loop orchestrator focuses on multi-domain state tracking and memo handling within automation pipelines. It requires clearly defined domain boundaries and configurable safety parameters to prevent unmanageable action queues.