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prompt-cache-skills

Agent skills that find and patch the places where open-source coding agent harnesses break provider prompt caching.

0 members list prompt-cache-skills, unchanged over the last 12 weeks, data as of 16 October 2026

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About prompt-cache-skills

Prompt-cache-skills is a collection of agent skills designed to identify and resolve issues where AI coding agents fail to use provider prompt caching effectively. Developed by OnlyTerp and written in Python, the tool functions as a drop-in compatibility layer for various LLM agent harnesses. It detects incompatibilities between coding agents and prompt caching mechanisms, then applies patches to enable caching where it would otherwise break.

The tool integrates with multiple popular AI coding agents and supports various large language model providers. By pointing an AI coding agent at the repository, developers can automatically equip their agent with the necessary patches to handle prompt caching correctly. This helps optimize performance and reduce costs when using AI agents for code generation and modification tasks.

Developer
OnlyTerp
GitHub
Language
Python
GitHub
GitHub stars
115
GitHub
Repository since
May 2026
GitHub

Checked 16 October 2026.

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