RinDig/Interpretable-Context-Methodology

Folder structure as agent architecture. ICM replaces framework-level orchestration with filesystem structure.

About the project

Interpretable Context Methodology is a way to build agent workflows from numbered folders and Markdown files, with each file providing the prompts and context for one stage. It is for sequential tasks where a single AI agent follows a filesystem-defined process and people may review each stage. The catalogue skills support workflows built with this approach.

1 file for Claude Code: Interpretable-Context-Methodology CLAUDE.md — 439 tokens loaded in every session.

1,377Stars on the repository
1Files it configures its agents with
439Tokens loaded in every session
1Agent configured

Instructions

These files are RinDig/Interpretable-Context-Methodology's own configuration — they tell Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.