codebase
Skill0 starsChanged 5 months agoMITView on GitHub
Index a local codebase into a CSV for Mantis. Run `mantis use get_space_context` first when Mantis is mentioned.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- meteor/meteortheir own version, first seen Oct 8, 2026
- KellisLab/mantis-cliword for word, first seen Jun 27, 2026
Other versions2 projects use a version of this.
Word for word · 1
- KellisLab/mantis-cli★ 2100% same
Edited · 0
None found.
Wrote their own version · 1
- meteor/meteor★ 45ksame name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- createmapSkill
- extensionsSkill
- mantisSkill
- selectSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Use mantis create codebase.
- Distinctive: line 37
If the user wants the codebase to become a Mantis map immediately, run:
- Very specific: line 59
If --activate was used, the new thread is active immediately.
- Very specific: line 75
Use mantis setup first if API configuration is missing.
- Very specific: line 76
Avoid scanning dependency/build folders manually.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Create Codebase CSV
First: mantis use get_space_context (unless you just ran it this turn).
Use mantis create codebase. This command is local-first: it scans files on the user's machine and writes a CSV. It can optionally continue into mantis create map.
CSV-only Flow
- Get the repo root from
$ARGUMENTSor ask the user. - Run:
mantis create codebase "./repo" --out "./repo-codebase.csv"- Explain the CSV columns:
path: repo-relative file pathfile_nameextensionlanguagekind: rough file role such as component, route, api, utility, test, sourcelocbytesimportssummarycontent
Full Demo Flow
If the user wants the codebase to become a Mantis map immediately, run:
mantis create codebase "./repo" \
--create-map \
--space-mode new \
--space-name "Codebase: Repo Name" \
--private \
--map-name "Source Code Index" \
--activate \
--thread-name "Architecture Review"The command uses good defaults for codebase maps:
title:pathsemantic:summary,content,importscategoric:language,kind,extensionnumeric:loc,bytes
After activation
If --activate was used, the new thread is active immediately. Explore with:
mantis use get_space_contextExample follow-up questions:
What are the main architectural zones in this codebase?
Which files are central or risky?
Where should I start if I want to refactor the map rendering system?Notes
- Use
mantis setupfirst if API configuration is missing. - Avoid scanning dependency/build folders manually; the CLI already ignores common junk like
.git,node_modules,.next,dist,build, and caches. - For agent-driven demos, pass flags explicitly instead of relying on interactive prompts.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

