I built 25 executable skills for AI coding agents �“ all open source (github.com)

A developer has released "Hermes Core Skills," a comprehensive pack of 25 executable skills designed for AI coding agents, addressing common deficiencies in their functionality. These skills provide structured workflows for debugging, token efficiency, self-regulation, and safe coding practices, ensuring that agents are better equipped to handle tasks without introducing new errors or burning through token budgets rapidly. By implementing these skills, users can instruct agents to perform complex tasks with clear, step-by-step guidance, reducing the likelihood of mishaps such as unintended code changes and context loss. This open-source initiative is significant for the AI/ML community as it democratizes access to improved coding agent capabilities, supporting various platforms like Claude Code, OpenAI Codex, and Cursor. The skills are designed to enhance productivity and efficiency, particularly for solo developers and startups, by addressing critical issues such as context management, token consumption, and debugging processes. The project's drop-in ready nature means it requires minimal configuration, promoting wider adoption and collaborative improvements from the community, ultimately pushing the boundaries of what AI coding agents can achieve.