Download GitHub repositories as clean source code via shallow clone.
npx skills add https://github.com/pascalandy/dotfiles --skill extract-repo
Please help me install this Agent Skill. Skill: extract-repo Source: https://github.com/pascalandy/dotfiles/tree/main/dot_config/opencode/skill/util-extract-repo Command: npx skills add https://github.com/pascalandy/dotfiles --skill extract-repo
This Skill downloads GitHub repositories as clean source code (no git history) into a designated WORKDIR to simplify analysis, modification, and archival workflows while avoiding clutter from full repository histories.
Run the extract-repo script via uv to clone a repo: uv run .opencode/skill/extract-repo/scripts/extract_repo.py <URL> and then cd into the extracted directory.
High-intent search queries and answers about installing and using this skill.
Cloning a GitHub repository without git history involves using a shallow clone with depth 1 to fetch only the latest snapshot. This approach downloads clean source code into a designated workdir, skipping full commit logs for analysis or archival workflows.
Downloading multiple GitHub repos for code analysis is best handled by automating shallow clones into a managed workdir. This method marks each repository with a tracking file and suffixes name conflicts to keep local storage organized across bulk repository downloads.
Yes, you can perform a dry run before cloning GitHub repositories. The extraction script supports an optional dry run feature that simulates the download process, allowing you to verify targets before actually fetching clean source code to your local workdir.
To remove cloned repositories from your workdir interactively, you can use the script's interactive removal feature. It identifies directories marked with the extract_repo tracking file and prompts you for deletion, ensuring only managed repositories are targeted.
Yes, shallow cloning significantly reduces download size for GitHub repositories. By fetching only the latest snapshot with depth 1, it skips historical commit data, which is ideal for workflows needing clean source code for experimentation or code review.
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