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CLAUDE.md that load for every prompt, this system uses progressive loading. Agents read only skill metadata initially, pulling in full SKILL.md instructions only when a specific task triggers them.Context bloat drives high token costs and reduces model accuracy. When an LLM processes irrelevant project guidelines for every minor code change, its effectiveness drops. Modularizing these instructions allows developers to enforce complex architectural standards—like preventing database anti-patterns—without cluttering the agent's active memory during unrelated tasks.
Implement skills by creating a directory with a SKILL.md file containing metadata and instructions. The standard is compatible with Junie, Claude Code, Codex, and Gemini CLI. Place skills in directories like .junie/skills/ to ensure the agent automatically discovers and applies your team's specific coding conventions.
👀 AI agents need context to write good code. So we give them all the context, every time. ❓ That’s expensive and inefficient. Agent Skills fix this! Here’s how 👇 https://t.co/krYlGUi4L7
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