How to Run the awesome-claude-code Repository Locally: A Complete Setup Guide

To run the awesome-claude-code repository locally, clone the project, install Python dependencies into a virtual environment, and execute make generate to build all README variants and SVG assets from the CSV data source.

The awesome-claude-code repository is a fully-automated README generator that transforms structured resource data into multiple documentation styles. Running it locally requires setting up a Python environment and executing the generation pipeline that renders Markdown files and graphical assets from THE_RESOURCES_TABLE.csv and configuration files.

Prerequisites and Environment Setup

Clone the Repository

Start by cloning the repository and navigating to the project root:

git clone https://github.com/hesreallyhim/awesome-claude-code.git
cd awesome-claude-code

Install Python Dependencies

The project uses a standard Python packaging configuration defined in pyproject.toml at the repository root. Create a virtual environment and install the required packages:

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

This installs the necessary dependencies including any poetry or poetry-core requirements specified in the build system configuration.

Configuring the Generator

Before running the generator, understand the two primary data sources that drive the output:

• THE_RESOURCES_TABLE.csv: The master data table containing all listed resources, categories, and metadata
• acc-config.yaml: Global configuration file defining the root style, selector badges, and generation parameters

Optional: Configure GitHub API Access

Some validation scripts interact with the GitHub API. To enable full resource validation, export a personal access token:

export GITHUB_TOKEN=ghp_XXXXXXXXXXXXXXXXXXXX

This step is optional unless you plan to run the validation pipeline that checks resource links against live repositories.

Running the Generation Pipeline

Using Make Targets

The repository includes a Makefile that wraps Python commands for convenience. According to the source code in docs/README-GENERATION.md, the primary targets are:

• make generate: Calls scripts/readme/generate_readme.py, sorts the CSV, and writes all README styles under README_ALTERNATIVES/ plus the root README.md
• make generate-toc-assets: Executes scripts/readme/helpers/generate_toc_assets.py to regenerate SVG Table-of-Contents graphics for every sub-category
• make add-category: Runs scripts/categories/add_category.py to interactively add new categories to templates/categories.yaml
• make sort: Executes scripts/resources/sort_resources.py to organize the CSV entries
• make validate: Runs the resource-link validator located in scripts/validation/

Execute the full generation suite:

make generate

Direct Python Execution

For debugging or custom workflows, invoke the generator directly without Make:

python -m scripts.readme.generate_readme

This entry point reads THE_RESOURCES_TABLE.csv, processes the YAML configurations, and renders every README variant plus SVG assets according to the style definitions in templates/.

Understanding the Output Structure

After generation completes, the repository produces:

• Root README: README.md (uses the style defined as root_style in acc-config.yaml)
• Alternative variants: README_ALTERNATIVES/README_EXTRA.md, README_CLASSIC.md, README_AWESOME.md, and 44 flat files (README_FLAT_*.md)
• SVG assets: Written under assets/ including resource badges, TOC rows, and ticker graphics

Advanced Operations

Regenerating TOC Assets

When you add new sub-categories to templates/categories.yaml, regenerate only the navigation graphics:

make generate-toc-assets

This executes scripts/readme/helpers/generate_toc_assets.py to create updated SVG Table-of-Contents elements.

Updating the Animated Ticker

The animated repository ticker requires fresh GitHub statistics. Update the data and regenerate the visualization:

python scripts/ticker/fetch_repo_ticker_data.py   # Updates data/repo-ticker.csv

python scripts/ticker/generate_ticker_svg.py      # Creates assets/repo-ticker*.svg

Validating Resources

Check all resource links for availability:

make validate

This runs the validation scripts that verify URLs in THE_RESOURCES_TABLE.csv against live endpoints.

Customizing and Iterating

To modify the generated output, edit the source files and rerun the pipeline:

1. Add resources: Append rows to THE_RESOURCES_TABLE.csv with columns for Display Name, Primary Link, Author Name, Author Link, Description, Category, Sub-Category, Active status, and Removal flag
2. Change styling: Modify root_style in acc-config.yaml (e.g., change from "extra" to "awesome")
3. Update categories: Edit templates/categories.yaml or use make add-category

After any modification, execute make generate to rebuild all assets. The generator classes located in scripts/readme/generators/ (handling visual, minimal, awesome, and flat styles) will process your changes and output updated files.

Summary

• Clone and setup: Use git clone followed by python3 -m venv .venv and pip install -r requirements.txt
• Key data files: THE_RESOURCES_TABLE.csv holds resource data; acc-config.yaml controls styling
• Primary command: make generate executes scripts/readme/generate_readme.py to build all outputs
• Optional features: Set GITHUB_TOKEN for validation; use make generate-toc-assets for navigation graphics
• Output locations: Generated files appear in README.md, README_ALTERNATIVES/, and assets/

Frequently Asked Questions

What Python version is required to run awesome-claude-code locally?

The repository requires Python 3.x with support for standard packaging tools. The pyproject.toml file in the root directory defines the build system requirements, and the code in scripts/readme/generate_readme.py uses modern Python features compatible with recent stable releases. Use python3 explicitly when creating your virtual environment to ensure compatibility.

How do I add a new resource without manually editing files?

While you can directly edit THE_RESOURCES_TABLE.csv, the repository also provides structured workflows through the Makefile. After adding a resource row to the CSV with the correct category and sub-category columns, run make generate to automatically create the corresponding badge SVGs and insert formatted entries into all README variants, including the style-specific generators in scripts/readme/generators/.

Why is the GITHUB_TOKEN environment variable optional?

The GITHUB_TOKEN is only required if you execute make validate or run the standalone validation scripts in scripts/validation/ that check resource URLs against the GitHub API. The core generation pipeline in scripts/readme/generate_readme.py operates entirely on local files (THE_RESOURCES_TABLE.csv and templates/) and does not require API access to produce README files and SVG assets.

Where are the generated SVG assets stored?

SVG assets are written to the assets/ directory. This includes resource badges generated from THE_RESOURCES_TABLE.csv entries, Table-of-Contents graphics created by scripts/readme/helpers/generate_toc_assets.py, and animated ticker files produced by scripts/ticker/generate_ticker_svg.py. The exact filenames correspond to resource identifiers and category slugs defined in the configuration.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}