Agent docs enhance the performance of AI agents by ensuring their outputs are consistent, aligned with coding conventions, and accurate. For instance, when using Claude Code (CC) to build a website, initial attempts yielded an incorrect command despite detecting the right build system (Bazel). By adding the correct command to the agent doc, the agent started providing accurate outputs. To implement agent docs, developers should create files named CLAUDE.md, GEMINI.md, or AGENTS.md in their project’s root directory, which serve the same function. These docs inform the agent when making API calls, ensuring relevant context is included. It’s recommended to standardize the filename as AGENTS.md. Additionally, subdirectory-specific agent docs can be created for tasks related to specific folders, and a user agent doc can be established for universal workflows. The AGENTS.md contents should be curated and formatted in Markdown, combining elements of how-to guides and references.
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