diff-summary

What This Skill Does

The diff-summary skill is a sophisticated developer-focused tool designed to bridge the gap between complex git diffs and human-readable documentation. By utilizing advanced LLM analysis, this agent parses staged changes or commit history to distill technical changes into high-level summaries. It doesn't just list added or removed lines; it identifies the intent behind the code, grouping related changes, categorizing features, and flagging potential breaking changes. This drastically reduces the cognitive load during code reviews and accelerates the creation of professional PR descriptions, allowing developers to communicate the impact of their work effectively without manual documentation.

Installation

To integrate this skill into your environment, use the OpenClaw hub command:

clawhub install openclaw/skills/skills/lxgicstudios/ai-diff-summary

Ensure that you have Node.js 18 or higher installed on your machine. You must also have an active OPENAI_API_KEY environment variable configured, as the agent relies on this API to provide its generative summaries. The tool must be executed within the context of a valid git repository.

Use Cases

This skill is indispensable for agile teams and open-source contributors. It is best used for:

• Automating Pull Request descriptions for GitHub, GitLab, or Bitbucket.
• Rapidly catching up on a project’s progress by summarizing a series of commits.
• Preparing release notes during a deployment cycle.
• Providing junior developers with context-rich explanations of architectural changes.
• Validating whether a set of changes introduces unintended breaking behaviors before merging into the main branch.

Example Prompts

1. "Summarize the changes in my currently staged files and format it as a markdown PR description."
2. "Compare the branch 'feature/login-refactor' against 'main' and generate a list of breaking changes I need to address."
3. "Summarize the last three commits specifically and highlight the new API endpoints added."

Tips & Limitations

For optimal results, ensure your commit messages are descriptive; this gives the AI more context to work with alongside the code changes. Be mindful that the skill relies on an external API, so internet connectivity is required. Large diffs might hit context limits; if you receive an incomplete summary, try splitting your request by targeting specific commits rather than entire branches. Always verify the 'Breaking Changes' section manually before deployment, as automated static analysis, while powerful, should still be treated as an assistant rather than a final source of truth.