git-batch-commitv1.4.2

A developer working with AI coding assistants often ends up with a working tree full of mixed changes: SKILL.md edits, dependency bumps, and README tweaks all at once. This skill scans the staged diff, groups files by logical type (feat/fix/docs/chore), and produces separate focused commits with proper conventional-commit messages. It keeps a clean, reviewable history without manual effort.

In repos containing multiple modules or skills, developers frequently commit across boundaries by accident. The skill enforces per-module splitting and preserves original English module names in messages, so commit history stays searchable. Teams also use --issue N to consistently reference GitHub issues on every split commit.

A maintainer of a skills repository commits version updates and can optionally trigger a ClawHub/SkillHub sync check when the clawhub-sync skill directory exists. The tool prompts for explicit confirmation before publishing or modifying the allowlist, keeping release actions deliberate and auditable.

The skill is published by a Chinese lawyer (杨卫薪律师) for legal-skills repositories, where non-engineer contributors benefit from automated splitting and Chinese-language commit bodies. It lowers the barrier for domain experts to keep a professional commit history without learning conventional-commits rules by heart.

Before tagging a release, a CI job stages accumulated changes and invokes interactive_commit.py with --yes for non-interactive operation, or --dry-run to validate grouping first. The resulting focused commits make changelog generation and release-note tooling much more accurate.

The skill itself is free under MIT, aligning with the author's legal-skills GitHub project. Monetization can come from adjacent consulting, training, or enterprise support for teams adopting the workflow across many repos.

The built-in sync check lets publishers push skill updates to ClawHub/SkillHub, potentially unlocking marketplace distribution, featured placement, or premium badges. Revenue is tied to platform-side monetization for popular skills.

Organizations can internalize the skill (or a fork) to enforce commit standards and scripted subtree publishing across private repos. Value comes from reduced review overhead and cleaner release pipelines rather than direct end-user sales.