Key Findings

Discovered Topics

📝
Data & APIs
Code style rules, event handling, and error patterns
python
1.0426
model
0.3928
api
0.3783
configuration
0.3097
install
0.3027
package
0.2957
environment
0.2851
integration
0.2799
dependency
0.272
pytest
0.266

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
Cross-cutting concerns: validation, APIs, and error handling
npm
0.8676
component
0.5689
typescript
0.4477
react
0.414
cs
0.3503
page
0.3497
api
0.2871
supabase
0.2478
nextjs
0.2308
tailwind
0.2258

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.

⚛️
User Interface
React, TypeScript, npm tooling, and client-side patterns
task
0.4293
change
0.303
agent
0.2828
user
0.2662
phase
0.2585
git
0.2557
read
0.2362
work
0.2291
new
0.2011
content
0.2004

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
API design, databases, server config, and integrations
pnpm
1.4427
package
0.2189
app
0.1886
component
0.1711
import
0.1643
git
0.1567
typescript
0.1516
lint
0.1452
dev
0.1446
apps
0.1419

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.

✅
Mcp & Rule
Documentation structure, user context, and task workflows
mcp
1.0131
rule
0.618
server
0.5569
make
0.308
tool
0.2955
immediately
0.276
remove
0.143
search
0.1412
session
0.141
add
0.1389

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.

How It Works

Learn about the data collection pipeline, text preprocessing with NLTK, and Latent Dirichlet Allocation topic modeling.

GitHub API, tokenization, LDA with scikit-learn
Technical

Topic Evolution

Track how topics change over time across multiple analysis runs. See topic stability and new topic emergence.

500 files analyzed so far
Historical

Term Trends

See how the most common terms in CLAUDE.md files rise and fall in popularity across daily analysis runs.

500 files per run, 15 terms tracked
Trends

Full Visualization

View the complete generated topic visualization with detailed word distributions and topic strengths.

Interactive topic breakdown
Visual