Живые скиллы для Claude Code, Gemini и Codex | Как настроить super skills для ИИ агентов

The presenter introduces the concept of 'living skills' or 'super skills' — self-updating prompt files for AI agents that work across Claude Code, Gemini CLI, and Codex. The core problem identified is that traditional AI agent skills are static: they are created once as markdown files, placed in a folder, and never updated, meaning the agent repeats the same suboptimal behavior every time a task is run.

A secondary problem discussed is token consumption. When many skills are loaded into the main Claude.md prompt file, every agent launch consumes large amounts of tokens even for skills rarely used. The presenter's earlier solution was an 'MD register' — a separate file listing skills with brief triggers, so full instructions are only loaded when needed. Living skills extend this by also eliminating dead weight from skills that are outdated or unused.

The living skills system works as follows: after completing a task, the AI agent asks the user for feedback (e.g., which video ideas worked and which didn't). The agent logs this feedback into dedicated feedback.log files stored alongside the skill file. Then, on a scheduled basis (twice a week in the presenter's setup), the agent reads accumulated feedback and automatically rewrites the core skill instruction file to reflect learned preferences. This makes skills 'evergreen' — analogous to evergreen ads that remain effective for years.

The presenter demonstrates a live implementation with two agents: one on Claude Code and one on Codex. He sends both a 9-file documentation package about living skills and asks them to create a YouTube video idea skill. Both agents initially create only a basic skill file without the required feedback infrastructure (feedback.log, additional supporting files), demonstrating that AI agents sometimes need correction. After being prompted to fix this, both agents add the necessary feedback collection files and the system begins working as intended.

The presenter also discusses automating skill execution — scheduling agents to run tasks (like generating video ideas) at night during off-peak hours on Tuesday, Thursday, and Saturday, so reports are ready in the morning. He plans to run this across Claude Code, Codex, and Gemini simultaneously for redundancy and variety.