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Generate Conventional Commit Drafts in Your Terminal with AI

Use a terminal AI prompt to turn your staged Git diff into a Conventional Commit candidate. See the Gemini CLI workflow, setup requirements, and review checks.
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You can use a terminal AI workflow to draft a Conventional Commit message from the changes staged in Git. The clearest documented example uses a Gemini CLI custom command that inserts git diff --staged into a prompt. “Zero setup” applies only after a compatible AI CLI is installed, authenticated, and available in the repository; it is not setup-free for a new user.

How the staged-diff workflow works

A useful commit-message draft needs context about what is actually staged—not just a summary of the whole working tree. The workflow is: stage the intended changes, pass the staged diff to an AI prompt, request a concise Conventional Commit candidate, and review that candidate against the diff before using it.

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Google’s Gemini CLI documentation provides a project-level custom-command example at .gemini/commands/git/commit.toml. The prompt runs git diff --staged, inserts its output into the prompt, and asks the model for a Conventional Commit message. Once configured, the command is invoked with /git:commit. Gemini CLI custom commands documentation

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This is a reusable, user-configured command rather than evidence that every terminal AI tool has a built-in commit generator. The command file and an installed, authenticated CLI are part of the setup.

Set up and use the Gemini CLI example

  1. Stage only the changes you intend to commit. Use your normal Git workflow, then inspect the staged patch with git diff --staged.
  2. Add the project command. Create .gemini/commands/git/commit.toml in the repository and use the documented custom-command format, with a prompt that includes the staged-diff command and requests a concise Conventional Commit candidate. Follow the current Gemini CLI documentation for the exact TOML syntax.
  3. Run the command. In Gemini CLI, enter /git:commit. The CLI resolves the shell command, performs a security check, and displays a confirmation dialog before running it; review the command before confirming.
  4. Review the draft. Compare the proposed message with git diff --staged. Edit it if it misstates the change, omits an important part, or conflicts with your repository’s conventions.
  5. Commit only after review. Treat the output as a candidate, not an automatically validated description of the change.

What “zero setup” does—and does not—mean

For someone who already has a compatible CLI installed, authenticated, and configured to work in the repository, invoking a reusable command can be a short terminal loop. A new user still has to install and sign in to a provider, and the Gemini example itself requires a project command file. The cited documentation does not establish that the exact configuration is setup-free.

Other terminal coding agents are possible ways to work with AI in a terminal, but the documentation covered here does not verify an equivalent built-in staged-diff commit generator for them:

Tool Documented staged-diff commit example Setup and access notes
Gemini CLI Yes: a custom command runs git diff --staged and requests a Conventional Commit candidate. Source Requires the CLI and a user-configured project command. The CLI confirms before executing its resolved shell command. Source
OpenAI Codex CLI No equivalent commit-generation example is established in the cited documentation. OpenAI documents installation and sign-in with a ChatGPT plan; API-key use involves additional setup. Codex CLI documentation Codex repository README
GitHub Copilot CLI No equivalent commit-generation example is established in the cited documentation. Installation is required, and a user who is not authenticated may need to run /login. GitHub describes a folder-trust prompt and approval controls for actions such as modifying or executing files. GitHub Copilot CLI documentation

Review the message before using it

  • Confirm the draft describes the staged patch, not unstaged edits or unrelated repository context.
  • Check that its summary is specific and accurate; a model can omit a change or infer intent that the diff does not establish.
  • Apply your team’s own commit conventions. The cited example requests Conventional Commit formatting, but does not verify that a generated message follows your repository’s full policy.
  • Read any trust, command-execution, or file-access prompt before approving it. Terminal coding agents may be able to read files, modify them, or run commands, depending on the tool and approvals.
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Sources and scope

The Gemini CLI documentation establishes the custom-command pattern and its command confirmation behavior. OpenAI’s Codex CLI documentation and repository README describe setup, while GitHub’s Copilot CLI documentation describes terminal use, authentication, folder trust, and approvals. These sources explain how to get a candidate into a prompt; they do not establish that a generated message is correct or compliant with every project-specific rule.

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