Key Findings

Discovered Topics

๐Ÿ”จ
Deployment & Build
Build commands, package managers, and dependency setup
build
0.3618
python
0.3542
prefer
0.3542
module
0.3425
behavior
0.3145
package
0.3143
command
0.3
doc
0.2985
documentation
0.293
repository
0.2836

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

๐Ÿงช
Frontend Development
Test runners, linting, and validation workflows
npm
1.1159
pnpm
0.5896
component
0.4026
frontend
0.3209
build
0.2902
dev
0.2638
backend
0.2603
react
0.2513
api
0.2486
typescript
0.2379

Frontend-focused CLAUDE.md files are among the most detailed. The prevalence of "npm," "typescript," and "react" reflects the dominance of the React/TypeScript ecosystem in projects using Claude Code. These files typically specify component patterns, state management, and build tooling.

โœ๏ธ
File Management
Code style, formatting conventions, and naming rules
skill
1.5162
directory
0.289
para
0.2861
memory
0.2518
skillmd
0.2363
pressure
0.1994
reference
0.1862
task
0.18
markdown
0.1748
report
0.1671

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

๐Ÿ›๏ธ
Tool & Mcp
Project architecture, modules, and directory structure
tool
0.7028
mcp
0.3535
model
0.3122
return
0.2787
llm
0.2757
api
0.2102
import
0.2029
string
0.1941
prompt
0.1701
server
0.1662

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

โ›”
Bun & Type
Constraints, prohibitions, and agent guardrails
bun
1.3683
type
0.2208
import
0.1755
biome
0.1699
package
0.1686
typescript
0.1446
commit
0.1056
error
0.1029
format
0.0976
packagejson
0.0962

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.