agentify-docs

Convert internal documentation into agent-ready instructions with explicit boundaries.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill agentify-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentify-docs
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/agentify-docs
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill agentify-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts human-oriented internal documentation into agent-ready format by making boundaries, permissions, and escalation paths explicit, reducing ambiguity for autonomous agents.

Core Features & Use Cases

  • Phase 1: Ingest Source Document: Accepts raw READMEs, runbooks, architecture docs, onboarding guides, or URLs and begins from user-provided input.
  • Phase 2: Identify Implicit Assumptions: Analyzes for access rights, implicit knowledge, judgement calls, scope limits, and environment state to surface explicit requirements.
  • Phase 3: Rewrite for Agent Readability: Produces a structured agent-facing doc with sections on scope, prerequisites, permitted actions, prohibited actions, step-by-step procedures, known failure modes, escalation, environment setup, and verification.

Quick Start

Paste or point to a source document (README, runbook, or architecture doc) and instruct the system to generate an agent-ready AGENTS.md using the agentify-docs workflow.

Frequently Asked Questions about agentify-docs

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

FAQPage Schema
How do I convert internal documentation into agent-ready instructions?

You convert internal documentation into agent-ready instructions by ingesting raw READMEs and runbooks to rewrite them with explicit boundaries, permissions, and escalation paths for autonomous agents.

What is an agent-ready document and when do I need one?

An agent-ready document is a structured guide making implicit assumptions like access rights and scope limits explicit. You need one when deploying autonomous agents requiring strict boundaries and clear escalation paths.

How do I generate an AGENTS.md file from existing architecture docs?

You generate an AGENTS.md file by providing existing architecture docs to a conversion tool that analyzes implicit knowledge and rewrites content into structured sections for prerequisites, permitted actions, and verification.

Can I use onboarding guides to establish agent permissions and boundaries?

Yes, onboarding guides can establish agent permissions and boundaries by converting them into agent-facing documentation that explicitly defines permitted actions, prohibited actions, and known failure modes.

What is the best way to make implicit knowledge explicit for autonomous agents?

The best way to make implicit knowledge explicit for autonomous agents is analyzing source documents for access rights, environment state, and judgement calls, then rewriting them into structured instructions with clear verification steps.

What limitations exist when converting runbooks into agent-facing documentation?

Limitations when converting runbooks into agent-facing documentation include manually surfacing implicit assumptions and scope limits from original text, as the process relies entirely on the accuracy of provided source material.