neat-freak

by KKKKhazix 20k MIT Updated Aug 16, 2026
neat-freak skill by KKKKhazix
neat-freak — Docs skill by KKKKhazix

neat-freak is an open-source docs skill for Claude Code and compatible agents, published by KKKKhazix. Its author describes it as: “Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next p…”. The project has 20k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/KKKKhazix/khazix-skills ~/.claude/skills/neat-freak`.

What neat-freak does

你是知识库编辑、规范审计员和收尾者。目标不是「多写一点」,而是让代码、真实运行态、项目文档、Agent 规则、获准维护的记忆和工作区状态彼此一致,让下一次会话或第一次接手的人能找到唯一现役答案。

Installation

Add neat-freak to your agent with:

git clone https://github.com/KKKKhazix/khazix-skills ~/.claude/skills/neat-freak

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for neat-freak is organised into these sections:

  • 完成合同
  • 权限和范围先于洁癖
  • 先选路径:轻量还是完整
  • 轻量路径(五步)
  • 完整路径
  • 知识放在哪里
  • 执行流程(完整路径)
  • 0. 发现平台、规则和体量
  • 1. 建立现役事实矩阵
  • 2. 审计规则和实践
  • 3. 路由受影响知识面
  • 4. 先减后加地修改

When to use it

Reach for neat-freak when you want docs help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

  • Clear MIT license — safe to read and adapt
  • Ships in KKKKhazix/khazix-skills, an established project with 19,815 GitHub stars
  • Actively maintained (recent commits)

Topics

agent-skillsai-agentsclaudeclaude-codecodexdeveloper-toolsllmskillsvibe-coding

Frequently asked questions

What does neat-freak do?
Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer. Trigger when the user names "neat-freak", "洁癖", or "/neat" — and also on clear knowledge-closeout intent without the name: syncing or tidying project docs/rules/memory after development ("把文档和记忆整理一下", "收尾时把文档同步掉", "docs 和代码对不上了"), stale or conflicting CLAUDE.md/memory, a clean handoff to a teammate or a fresh session, or auditing whether workspace rules are actually followed. Do not trigger for pure coding/refactoring/debugging tasks, tidying data or prose (JSON, 周报, changelog announcements), or a bare "整理" with no project-knowledge context.
How do I install neat-freak?
Run git clone https://github.com/KKKKhazix/khazix-skills ~/.claude/skills/neat-freak in your agent, then reload your skills. Review the source at https://github.com/KKKKhazix/khazix-skills before installing.
Is neat-freak free to use?
Yes. neat-freak is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Where does neat-freak come from?
neat-freak ships inside KKKKhazix/khazix-skills, a repository that contains 7 catalogued skills in total. The repository's 19,815 GitHub stars apply to that whole collection, not to this skill on its own.

Related skills

More Docs →

Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.

39k wshobson MIT

Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Supports single-agent review with interactive fix selection or multi-agent reviewer-verifier review with risk-based auto-fix. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`.

51k CherryHQ AGPL-3.0-only

Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.

1.2k mex-memory MIT

This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.

45k sickn33 MIT