Use CLAUDE.md Improver with Claude Code

What the CLAUDE.md Improver does

The CLAUDE.md Improver is a skill from Anthropic's official claude-plugins-official repository, where it lives under the claude-md-management plugin. Per the provider, the skill scans, evaluates, and improves CLAUDE.md files across a codebase so that Claude Code has optimal project context in every new session. A CLAUDE.md file works as a kind of persistent memory for the AI assistant: it lives inside the project itself and contains information Claude Code automatically reads on every start, such as conventions, architecture decisions, or warnings about known pitfalls. The skill is explicitly designed to write to such files, but according to its own description only does so after first presenting a quality report and obtaining the user's approval.

Prerequisites

The skill requires an environment that can provide tools such as Read, Glob, Grep, Bash, and Edit, because its skill definition explicitly requests exactly those permissions. In practice this means running it inside Claude Code or a comparable agent client that allows filesystem access within the relevant project directory. No separate account or external service is required, since the skill works entirely locally within the repository. The only real prerequisite is that the repository actually contains, or is meant to contain, CLAUDE.md files; otherwise the skill has nothing to analyze.

Workflow: discover, assess, improve

The skill follows a fixed, multi-stage procedure. First it systematically searches the repository for all relevant files: the primary file at the project root, local overrides, global defaults in the home directory, and package- or module-level variants in monorepos. It then evaluates each file found against fixed quality criteria stored in an accompanying reference document, producing a quality report from that assessment. Only afterward, and only with explicit approval, does the skill make targeted edits to close gaps or clarify vague wording. This two-stage approach — review and present first, change only afterward — is a deliberate safety feature of the skill, since CLAUDE.md files are often maintained and version-controlled collaboratively by a team.

Security and diligence when using it

Because the skill gets write access to files in the project, it should only be used in an environment where version control such as Git is active, so every change stays traceable and can be reverted if needed. It is advisable to actually read the presented quality report before granting approval, because automatically suggested changes to a central context file can affect Claude Code's behavior across the entire project. In monorepos with multiple CLAUDE.md files at different levels, it's also worth noting that changes to a parent-level file can affect subordinate modules, since Claude Code automatically merges such files up the directory hierarchy.

Practical value and limitations

The value lies in letting project teams systematically maintain a file that is often neglected but has outsized impact, without manually reviewing every line. Especially in grown projects with several CLAUDE.md files at different levels, the automatic inventory helps find gaps and contradictions that are easily overlooked by hand. The limitations are that the skill only assesses documentation quality in terms of completeness and clarity, but cannot verify whether the factual statements about the project are still accurate — that remains the developers' responsibility. The skill also does not replace conventional project documentation; it exclusively optimizes the one specific file that serves as the context source for the AI assistant.