Suggest edit — Model Skill Files (World Diff)

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---
title: Model Skill Files (World Diff)
visibility: public
status: idea
date: 2026-02-09
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# Model Skill Files (World Diff)

Model Skill Files is a concept for a publicly curated "world diff" that AI models can consume to stay current beyond their training cutoff. Rather than relying solely on ever-larger models, this approach gives any model access to structured world-state updates: what new products exist, which APIs have changed, what has been deprecated.

## The Gap

No one currently maintains a community-curated, model-consumable knowledge update covering new products, API changes, naming updates, deprecations, and version bumps since a model's training cutoff. This is an open-source project opportunity.

## Existing Partial Solutions

- **Agent Skills (open standard):** Anthropic created the SKILL.md pattern, adopted by Microsoft, OpenAI, and Cursor. These are task-specific skills, not world-state updates.
- **llm-stats.com:** Tracks model releases and updates but not in a model-consumable format.
- **CCI (Claude Collective Intelligence):** Captures problem/solution pairs discovered during Claude Code sessions — a narrow version of the concept.
- **CLAUDE.md / system prompts:** An ad hoc version of the idea, where developers manually note stale information in their system prompts.

## Vision

A canonical, versioned, machine-readable file that any model can be given as context, enabling it to reason accurately about the current state of the world without retraining. This connects to [[context-engineering-prize|The Context Engineering Prize]] — context engineering is not just about prompting technique but also about the quality and currency of the knowledge provided.

## Status

**Idea stage.** Identified as a potential open-source project.

## Related Ideas

- [[context-engineering-prize|The Context Engineering Prize]]

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*Source: Voice note, February 9 2026*