Requirements for Running awesome-claude-code: Complete Setup Guide

To run awesome-claude-code, you need Python 3.11 or higher, the PyGithub and PyYAML packages, and must execute all commands from the repository root where pyproject.toml is located.

The awesome-claude-code repository by hesreallyhim is a pure-Python project that generates richly-styled, multi-format README files for Claude Code resources. Understanding the requirements for running awesome-claude-code ensures you can successfully generate documentation, validate resource links, and render animated ticker assets without encountering dependency or path resolution errors.

Python Version and Core Dependencies

The project enforces a strict Python version requirement to maintain compatibility with modern type hinting and async features. According to the source configuration in pyproject.toml at line 12, the interpreter must satisfy:

requires-python = ">=3.11"

Two core Python packages are mandatory for basic operation, as declared in pyproject.toml lines 13-14:

• PyGithub>=2.1.1 — Enables communication with the GitHub API for repository ticker data and link validation tasks
• PyYAML>=6.0.0 — Parses configuration files including acc-config.yaml and the various YAML definitions in templates/

Install these dependencies using pip after cloning the repository:

pip install -r requirements.txt

# Or install the package directly:

pip install .

Required Repository Structure and Assets

Unlike standalone Python packages, awesome-claude-code expects to be executed from within the Git repository itself. The path resolution logic in scripts/readme/helpers/readme_paths.py discovers the repository root by locating pyproject.toml, so running scripts from outside the project tree will fail.

The following files and directories must remain present and unmodified at runtime:

• THE_RESOURCES_TABLE.csv — The master data source containing every listed Claude Code resource; parsed by scripts/resources/resource_utils.py and scripts/resources/sort_resources.py
• templates/ — Contains Markdown templates (README_*.template.md), category definitions (categories.yaml), and announcement configurations (announcements.yaml)
• assets/ — Stores SVG badges, headers, dividers, and ticker graphics generated on demand by scripts/readme/svg_templates/
• acc-config.yaml — Defines root README style, badge metadata, and asset path rules consumed by scripts/readme/generate_readme.py

Optional Development Dependencies and Tools

While not required for basic README generation, the project includes a comprehensive development toolchain defined in pyproject.toml lines 24-33. These packages support testing, linting, and code quality enforcement:

• pytest — Test runner for validation logic
• ruff — Fast Python linter and formatter
• pre-commit — Git hook framework for enforcing style checks
• mypy — Static type checker
• requests — HTTP library used by some utility scripts
• python-dotenv — Loads environment variables from .env files

The repository also ships a Makefile that wraps common commands such as make generate, make add-category, and make validate. While GNU Make is optional—you can invoke Python scripts directly—the Makefile simplifies the workflow by handling path variables and virtual environment activation automatically.

Environment Variables for GitHub API Integration

Several scripts interact with the GitHub API to fetch repository statistics and validate external links. While the generator runs without authentication, providing a GITHUB_TOKEN environment variable prevents rate limiting and enables full functionality.

Set the token before running API-dependent scripts:

export GITHUB_TOKEN=ghp_XXXXXXXXXXXXXXXXXXXX
python3 scripts/ticker/fetch_repo_ticker_data.py
python3 scripts/resources/validate_links.py

Without this token, make validate and ticker generation may encounter API throttling errors, though the core README generation will still complete using cached or limited data.

Quick Start Installation and Verification

Once Python 3.11+ is installed and the repository is cloned, verify your setup by generating the README files:

# Navigate to repository root

cd awesome-claude-code

# Install core dependencies

pip install PyGithub>=2.1.1 PyYAML>=6.0.0

# Generate all README variants (includes root README.md)

make generate

# Or invoke the Python script directly without Make:

python3 scripts/readme/generate_readme.py

The scripts/readme/generate_readme.py orchestrator loads acc-config.yaml, sorts the CSV data via scripts/resources/sort_resources.py, creates missing SVG assets, and iterates over STYLE_GENERATORS to produce outputs in README_ALTERNATIVES/ and the root README.md.

To validate that all resource links in THE_RESOURCES_TABLE.csv are active:

make validate

# Direct invocation:

python3 scripts/resources/validate_links.py

Summary

• Python 3.11+ is strictly required as defined in pyproject.toml
• PyGithub and PyYAML are the only mandatory runtime dependencies
• The generator must run from the repository root to locate pyproject.toml, THE_RESOURCES_TABLE.csv, and template files
• Make is optional but simplifies command execution; underlying Python scripts in scripts/ can be called directly
• A GITHUB_TOKEN environment variable enables full GitHub API access for ticker updates and link validation, though README generation functions without it

Frequently Asked Questions

What Python version is required for awesome-claude-code?

Python 3.11 or higher is mandatory. The pyproject.toml file explicitly declares requires-python = ">=3.11" at line 12, and the code utilizes type hinting syntax and standard library features introduced in this version.

Is GitHub API access mandatory to run the generator?

No. The core README generation functionality in scripts/readme/generate_readme.py operates without API credentials. However, scripts like scripts/ticker/fetch_repo_ticker_data.py and the validation target make validate require a GITHUB_TOKEN environment variable to avoid rate limiting and fetch fresh repository statistics.

Can I run the scripts without using Make?

Yes. While the Makefile provides convenient shortcuts, you can invoke the underlying Python scripts directly from the repository root. For example, python3 scripts/readme/generate_readme.py performs the same generation task as make generate, and python3 scripts/categories/add_category.py handles category creation without the Make wrapper.

Where does the resource data come from?

The master list resides in THE_RESOURCES_TABLE.csv at the repository root. This CSV file serves as the single source of truth for all listed resources, parsed by modules in scripts/resources/ during the generation process. The file must be present and properly formatted with the expected header row that matches scripts/resources/resource_utils.py parsing logic.

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