Key Findings

Discovered Topics

📝
Agent & Python
Code style rules, event handling, and error patterns
agent
0.4159
python
0.3653
read
0.3652
rule
0.3209
change
0.3112
task
0.2918
tool
0.2915
skill
0.2861
make
0.2819
path
0.2606

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.

📊
Agentsmd & Instruction
Cross-cutting concerns: validation, APIs, and error handling
agentsmd
2.1872
instruction
0.1391
agent
0.1075
read
0.0928
codex
0.0824
rule
0.0798
life
0.0717
skill
0.0674
import
0.0654
context
0.0535

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.

⚛️
Frontend Development
React, TypeScript, npm tooling, and client-side patterns
npm
0.5621
component
0.4752
pnpm
0.4711
server
0.3002
react
0.2958
api
0.2945
typescript
0.2805
bun
0.2723
dev
0.2598
backend
0.2568

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.

🔧
Cargo & Make
API design, databases, server config, and integrations
cargo
1.4367
make
0.3029
rust
0.2562
cli
0.2094
workspace
0.2091
format
0.1339
check
0.1325
warning
0.1315
release
0.1271
bun
0.1058

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.

✅
Que & Para
Documentation structure, user context, and task workflows
que
1.0453
para
0.6215
com
0.4568
del
0.3786
por
0.376
una
0.2977
ante
0.262
nunca
0.2481
sem
0.2321
uma
0.2192

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.