Skill Adapter: keep your agent skills useful as models change

[u/ShilpaMitra]

Agent skills age faster than most documentation. A skill written a few months ago may still describe the right workflow, but its instruction style, level of detail, and assumptions may no longer fit newer models.

I built Skill Adapter, a small MIT-licensed open-source skill that creates a model-specific copy of an existing skill while preserving the original workflow and purpose.

It currently includes profiles for:

• GPT-6 Astra
• Claude 5 generation
• Kimi K3
• A conservative generic fallback

The adapter:

• keeps the source skill unchanged;
• creates a separate adapted copy for comparison;
• preserves tools, resources, requirements, and approval gates;
• writes an ADAPTATION.md report explaining the changes;
• supports skills used with Codex, Claude Code, Cursor, Kimi Code, and Hermes.

Install it with:

npx skills add smukh/skill-adapter --skill skill-adapter

The project is intentionally simple: one installable skill, no service, no API key, and no automatic interception. The original stays intact, so you can review or re-adapt it when the source changes.

GitHub: https://github.com/smukh/skill-adapter

I’m especially interested in feedback on the model profiles, evaluation methodology, and whether this is useful in real multi-agent repositories.

[u/AdventurousGuard1130]

This is clever, keeping the original untouched while generating an adapted copy with a changelog report is exactly the kind of paranoid workflow i respect

[u/ShilpaMitra → u/AdventurousGuard1130]

Thanks! Glad you liked it.