agents-md-writing

Writing a CLAUDE.md file requires defining structured instruction sections like Commands, Architecture, and Memory guidelines to maintain consistent AI agent context across sessions. This skill provides a canonical template with memory patterns and workflow rules to standardize that behavior.

An AGENTS.md instruction file should include sections for Commands, Architecture, Gotchas, Style, and Memory guidelines to ensure repeatable agent behavior. It must also define frontmatter with a name and description, plus anti-pattern guidance to prevent common errors.

You need to define memory patterns and anti-patterns in instruction files when your project requires clear, repeatable AI agent behavior across multiple sessions. Memory patterns establish cross-session context strategies, while anti-patterns prevent the agent from repeating known mistakes.

The best way to structure workflow rules in CLAUDE.md is using a canonical template that separates commands, architecture, and style guidelines. This skill helps you apply these structured workflow rules and memory sections to achieve better agent alignment and efficiency.

Yes, you can refine an existing instruction file by applying the provided memory patterns, workflow rules, and anti-pattern guidance. This skill helps improve current projects by introducing missing sections like Gotchas and Memory guidelines for better agent alignment.

AI agents forget project architecture and style rules between sessions when instruction files lack proper memory patterns and structured sections. Establishing cross-session memory strategies and canonical templates in files like CLAUDE.md solves this context loss.