Open source alternatives to neat-freak
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About neat-freak
neat-freak
Knowledge and governance closeout: reconcile project docs, rule files
Neat Freak is an agent skill for closing out a piece of work by tidying its knowledge. It acts as a knowledge base editor and governance auditor, with the goal that the code, the running system, the project documents, the agent rule files, any agent memory you have authorized and the workspace all agree, so that the next session or the next person can find one current answer. It checks six fact surfaces. For the code, it asks what is actually implemented, using the branch, schema, configuration and tests. For the runtime, it asks what users actually get, using deploy markers, services and live pages. Documentation is checked for whether readers see the current answer, rule files such as CLAUDE.md and AGENTS.md are checked for whether agents receive consistent, executable constraints, agent memory is checked for accuracy, and the workspace is checked for leftover files, worktrees and branches. Each surface is marked verified-current, changed-and-verified, pending, out-of-scope or not-applicable, and the skill says not to treat a clean git status or passing tests as proof that everything is in sync. It also separates release states such as draft, pull request, merged, deployed, live verified, knowledge closed and cleaned. The skill is published under the khazix-skills repository on skills.sh, which has about 21.4K stars, and the listing shows Gen Agent Trust Hub, Socket and Snyk all passing.
- Price
- Free
- Made by
- kkkkhazix
- Category
- AI Skills
- Website
- github.com/kkkkhazix/khazix-skills/neat-freak