ECL Harness Engineer

Design and create Harness Engineering infrastructure so AI agents can work reliably in a codebase.

Core Philosophy: "Intelligence without infrastructure is just a demo." The Agent Harness is the Operating System — the LLM is just the CPU. The repository becomes the single source of truth — if an agent can't see it in context, it doesn't exist.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use This Skill

• Use when a repository needs AI-agent collaboration infrastructure such as AGENTS.md, docs/ECL.md, docs/STATUS.md, harness change tracking, or mechanical validation gates.
• Use when auditing an existing Agent Harness for missing ECL lifecycle docs, change templates, lint checks, environment contracts, or CI integration.
• Use when converting repeated agent workflow failures into repository-local documentation, tests, lint rules, or lightweight auto-evolution checks.
• Do not use for ordinary business feature implementation unless the requested work is specifically about creating or improving the repository harness.

Limitations