Git Workflow Skill

The Git Workflow Skill gives any AI coding agent a shared understanding of how your team actually ships code — branching strategies, commit message conventions, code review workflows, and CI/CD integration patterns — instead of forcing every agent to guess or default to generic Git habits. Rather than re-explaining your branching model in every prompt, teams encode git-flow, trunk-based development, or a custom hybrid once, and every agent that touches the repo follows the same rules for naming branches, structuring commits, and moving code through review.

This is the skill to reach for when multiple AI agents (or humans-plus-agents) are collaborating on the same codebase and consistency starts to matter more than convenience. Use it to enforce conventional commit formatting so changelogs and semantic-release tooling stay accurate, to standardize pull request checklists so AI-generated code gets the same review scrutiny as human-written code, and to codify CI/CD integration patterns — which checks must pass, how deploys are gated, how hotfixes get cherry-picked back — so agents don't accidentally skip steps that a human contributor would never miss. It's equally useful for onboarding a new AI agent into an existing repo's conventions without a lengthy back-and-forth, or for keeping a fast-moving team's git workflow rules from drifting as agents and headcount change.

Inside BusinessMCP's unified setup, the Git Workflow Skill is connected once to your hosted MCP server and exposed through a single /api/mcp endpoint secured with a Bearer mcph_* key. Because BusinessMCP is model-agnostic, that same connection serves Claude, GPT, Gemini, or any other agent your team uses — there's no separate integration per model, and no per-agent copy of your git conventions to keep in sync. Every call your agents make through the skill also feeds the business-intelligence dashboard, so engineering leads get visibility into how often git-workflow guidance is being invoked, which conventions agents lean on most, and where review or CI/CD friction tends to show up — turning a developer-tools skill into something engineering managers can actually report on.

Because it's cookieless and GDPR-friendly by design, the Git Workflow Skill fits cleanly into regulated or security-conscious engineering environments without extra compliance overhead. It's a natural companion to other developer-tools skills in the catalog: pair it with the Test-Driven Development skill so review workflows include test coverage expectations, with the Changelog Generator so conventional commits translate directly into release notes, and with README Generator or TypeScript Strict Mode when your git conventions need to line up with documentation and type-safety standards across the same repos. For teams standardizing how AI agents write, review, and ship code, this skill is the connective tissue between individual commits and a coherent, auditable engineering workflow.