Explore Codebase
Skill10 starsChanged 6 months agoMITView on GitHub
Navigate and understand codebase structure using the knowledge graph
4 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- theexperiencecompany/gaiaedited, first seen Nov 3, 2026
- nilsteampassnet/TeamPassword for word, first seen Oct 8, 2026
- microsoft/Microsoft365DSCedited, first seen Oct 8, 2026
- dorian-akhs/skillsword for word, first seen Sep 1, 2026
Other versions4 projects use a version of this.
Word for word · 2
- nilsteampassnet/TeamPass★ 1.9k100% same
- dorian-akhs/skills★ 0100% same
Edited · 2
- microsoft/Microsoft365DSC★ 2.5k100% same
- theexperiencecompany/gaia★ 325100% same
Wrote their own version · 0
None found.
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.
- CLAUDE.mdCLAUDE.md
- Debug IssueSkill
- Refactor SafelySkill
- Review ChangesSkill
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 2 are distinctive, and 10 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
10
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use the code-review-graph MCP tools to explore and understand the codebase.
- Very specific: line 12
Run list_graph_stats to see overall codebase metrics.
- Very specific: line 13
Run get_architecture_overview for high-level community structure.
- Very specific: line 14
Use list_communities to find major modules, then get_community for details.
- Very specific: line 15
Use semantic_search_nodes to find specific functions or classes.
- Very specific: line 16
Use query_graph with patterns like callers_of, callees_of, imports_of to trace relationships.
- Very specific: line 17
Use list_flows and get_flow to understand execution paths.
- Distinctive: line 21
Start broad (stats, architecture) then narrow down to specific areas.
- Very specific: line 22
Use children_of on a file to see all its functions and classes.
- Very specific: line 23
Use find_large_functions to identify complex code.
- Very specific: line 26
ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.
- Very specific: line 27
Use detail_level="minimal" on all calls.
≈ “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
Explore Codebase
Use the code-review-graph MCP tools to explore and understand the codebase.
Steps
- Run
list_graph_statsto see overall codebase metrics. - Run
get_architecture_overviewfor high-level community structure. - Use
list_communitiesto find major modules, thenget_communityfor details. - Use
semantic_search_nodesto find specific functions or classes. - Use
query_graphwith patterns likecallers_of,callees_of,imports_ofto trace relationships. - Use
list_flowsandget_flowto understand execution paths.
Tips
- Start broad (stats, architecture) then narrow down to specific areas.
- Use
children_ofon a file to see all its functions and classes. - Use
find_large_functionsto identify complex code.
Token Efficiency Rules
- ALWAYS start with
get_minimal_context(task="<your task>")before any other graph tool. - Use
detail_level="minimal"on all calls. Only escalate to "standard" when minimal is insufficient. - Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.

