Addy Osmani Git 工作流与版本控制

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工程方法论GPT-4.1工程实践Git工作流与版本控制

Git 工作流与版本控制:addyosmani/agent-skills: git-workflow-and-versioni,适用于工程实践、代码质量与开发流程优化。

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Skill Documentation

Addy Osmani Git 工作流与版本控制

摘要

Git 工作流与版本控制:addyosmani/agent-skills: git-workflow-and-versioni,适用于工程实践、代码质量与开发流程优化。

> 来源: addyosmani/agent-skills — Google Chrome 团队领袖 Addy Osmani

> 原文件: skills/git-workflow-and-versioning/SKILL.md

> 模型推荐: 看 skill 类型挑

这个 skill 是干嘛的

Addy Osmani (Google Chrome 团队 Performance Lead,前端工程领域权威) 整理的 24 个工程方法论 skill 集合 — 覆盖 API 设计 / 浏览器测试 / CI/CD / 代码评审 / TDD / 安全 / 性能 / 部署 等。

michael 强调"skill 要有相应的指导功能,指导用户使用",所以加了下面两节让 Agent 和用户对接。

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🤖 Agent 使用说明

1. 接到任务后,先按这个 skill 的触发关键词跑

2. 跑 Checklist 一遍,标记红线步骤

3. 红线步骤必须先完成(往往是 ask user 确认)

4. 完工前用 verification step 自检

5. 跑完了告诉用户结果,不要自行提交

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(一句话即可)

2. 如果 skill 要求 ask user 凭证 / OAuth / 部署密钥,按提示提供

3. 完工后让 Agent 跑自检再交回

4. 全程 Agent 自动化,你只需回答"是/否"类决策点

---

原 skill 内容(addyosmani/agent-skills/git-workflow-and-versioning/SKILL.md,截断到 12k chars)

---

name: git-workflow-and-versioning

description: Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams. Use when cutting a release, choosing a semantic version bump, tagging, or writing a changelog.

---

Git Workflow and Versioning

Overview

Git is your safety net. Treat commits as save points, branches as sandboxes, and history as documentation. With AI agents generating code at high speed, disciplined version control is the mechanism that keeps changes manageable, reviewable, and reversible.

When to Use

Always. Every code change flows through git.

Core Principles

Trunk-Based Development (Recommended)

Keep `main` always deployable. Work in short-lived feature branches that merge back within 1-3 days. Long-lived development branches are hidden costs — they diverge, create merge conflicts, and delay integration. DORA research consistently shows trunk-based development correlates with high-performing engineering teams.

main ──●──●──●──●──●──●──●──●──●──  (always deployable)
        ╲      ╱  ╲    ╱
         ●──●─╱    ●──╱    ← short-lived feature branches (1-3 days)

This is the recommended default. Teams using gitflow or long-lived branches can adapt the principles (atomic commits, small changes, descriptive messages) to their branching model — the commit discipline matters more than the specific branching strategy.

1. Commit Early, Commit Often

Each successful increment gets its own commit. Don't accumulate large uncommitted changes.

Work pattern:
  Implement slice → Test → Verify → Commit → Next slice

Not this:
  Implement everything → Hope it works → Giant commit

Commits are save points. If the next change breaks something, you can revert to the last known-good state instantly.

2. Atomic Commits

Each commit does one logical thing:

# Good: Each commit is self-contained
git log --oneline
a1b2c3d Add task creation endpoint with validation
d4e5f6g Add task creation form component
h7i8j9k Connect form to API and add loading state
m1n2o3p Add task creation tests (unit + integration)

# Bad: Everything mixed together
git log --oneline
x1y2z3a Add task feature, fix sidebar, update deps, refactor utils

3. Descriptive Messages

Commit messages explain the *why*, not just the *what*:

# Good: Explains intent
feat: add email validation to registration endpoint

Prevents invalid email formats from reaching the database.
Uses Zod schema validation at the route handler level,
consistent with existing validation patterns in auth.ts.

# Bad: Describes what's obvious from the diff
update auth.ts

**Format:**

<type>: <short description>

<optional body explaining why, not what>

**Types:**

4. Keep Concerns Separate

Don't combine formatting changes with behavior changes. Don't combine refactors with features. Each type of change should be a separate commit — and ideally a separate PR:

# Good: Separate concerns
git commit -m "refactor: extract validation logic to shared utility"
git commit -m "feat: add phone number validation to registration"

# Bad: Mixed concerns
git commit -m "refactor validation and add phone number field"

**Separate refactoring from feature work.** A refactoring change and a feature change are two different changes — submit them separately. This makes each change easier to review, revert, and understand in history. Small cleanups (renaming a variable) can be included in a feature commit at reviewer discretion.

5. Size Your Changes

Target ~100 lines per commit/PR. Changes over ~1000 lines should be split. See the splitting strategies in `code-review-and-quality` for how to break down large changes.

~100 lines  → Easy to review, easy to revert
~300 lines  → Acceptable for a single logical change
~1000 lines → Split into smaller changes

Branching Strategy

Feature Branches

main (always deployable)
  │
  ├── feature/task-creation    ← One feature per branch
  ├── feature/user-settings    ← Parallel work
  └── fix/duplicate-tasks      ← Bug fixes

Branch Naming

feature/<short-description>   → feature/task-creation
fix/<short-description>       → fix/duplicate-tasks
chore/<short-description>     → chore/update-deps
refactor/<short-description>  → refactor/auth-module

Working with Worktrees

For parallel AI agent work, use git worktrees to run multiple branches simultaneously:

# Create a worktree for a feature branch
git worktree add ../project-feature-a feature/task-creation
git worktree add ../project-feature-b feature/user-settings

# Each worktree is a separate directory with its own branch
# Agents can work in parallel without interfering
ls ../
  project/              ← main branch
  project-feature-a/    ← task-creation branch
  project-feature-b/    ← user-settings branch

# When done, merge and clean up
git worktree remove ../project-feature-a

Benefits:

The Save Point Pattern

Agent starts work
    │
    ├── Makes a change
    │   ├── Test passes? → Commit → Continue
    │   └── Test fails? → Revert to last commit → Investigate
    │
    ├── Makes another change
    │   ├── Test passes? → Commit → Continue
    │   └── Test fails? → Revert to last commit → Investigate
    │
    └── Feature complete → All commits form a clean history

This pattern means you never lose more than one increment of work. If an agent goes off the rails, `git reset --hard HEAD` takes you back to the last successful state.

Change Summaries

After any modification, provide a structured summary. This makes review easier, documents scope discipline, and surfaces unintended changes:

CHANGES MADE:
- src/routes/tasks.ts: Added validation middleware to POST endpoint
- src/lib/validation.ts: Added TaskCreateSchema using Zod

THINGS I DIDN'T TOUCH (intentionally):
- src/routes/auth.ts: Has similar validation gap but out of scope
- src/middleware/error.ts: Error format could be improved (separate task)

POTENTIAL CONCERNS:
- The Zod schema is strict — rejects extra fields. Confirm this is desired.
- Added zod as a dependency (72KB gzipped) — already in package.json

This pattern catches wrong assumptions early and gives reviewers a clear map of the change. The "DIDN'T TOUCH" section is especially important — it shows you exercised scope discipline and didn't go on an unsolicited renovation.

Pre-Commit Hygiene

Before every commit:

# 1. Check what you're about to commit
git diff --staged

# 2. Ensure no secrets
git diff --staged | grep -i "password\|secret\|api_key\|token"

# 3. Run tests
npm test

# 4. Run linting
npm run lint

# 5. Run type checking
npx tsc --noEmit

Automate this with git hooks:

// package.json (using lint-staged + husky)
{
  "lint-staged": {
    "*.{ts,tsx}": ["eslint --fix", "prettier --write"],
    "*.{json,md}": ["prettier --write"]
  }
}

Handling Generated Files

Using Git for Debugging

# Find which commit introduced a bug
git bisect start
git bisect bad HEAD
git bisect good <known-good-commit>
# Git checkouts midpoints; run your test at each to narrow down

# View what changed recently
git log --oneline -20
git diff HEAD~5..HEAD -- src/

# Find who last changed a specific line
git blame src/services/task.ts

# Search commit messages for a keyword
git log --grep="validation" --oneline

Release & Versioning

Commits are how *you* track change; a **version** is how your *consumers* track it. The moment anything else depends on your code — another team, a published package, a deployed client — "latest on main" stops being a sufficient answer to "what am I running, and is it safe to upgrade?" A version number and a changelog are the contract that answers it.

Semantic Versioning

For anything with consumers, version `MAJOR.MINOR.PATCH` and let the number carry meaning:

  MAJOR  breaking change — consumers must change their code to upgrade
  MINOR  new functionality, backward-compatible — safe to upgrade
  PATCH  bug fix, backward-compatible — safe to upgrade

The number is a promise, so make the code match it. A "patch" that changes behavior consumers relied on is a major change wearing a disguise (Hyrum's Law — see the `api-and-interface-design` skill). When unsure whether a change is breaking, assume it is; a surprise major is far cheaper than a broken consumer.

Tag the release, and let the tag be the source of truth

A release is an immutable point in history, not a moving branch. Tag it so it can always be reproduced:

git tag -a v1.4.0 -m "Release 1.4.0"
git push origin v1.4.0

Derive the version from the tag rather than hand-editing it in scattered files, so the artifact, the tag, and the changelog can never disagree.

Keep a changelog written for humans

A changelog is not `git log`. It's the curated, consumer-facing answer to "what changed and do I care?" — grouped by `Added / Changed / Fixed / Deprecated / Removed / Security`, newest on top, every entry phrased around user impact, not internal mechanics.

## [1.4.0] - 2025-06-12
### Added
- Bulk task import via CSV
### Fixed
- Timezone drift in recurring task due dates
### Deprecated
- `GET /v1/tasks/all` — use the paginated `GET /v1/tasks` (removal in 2.0)

Write the entry in the same change that makes the change, while the impact is fresh — not reconstructed from commit archaeology at release time. Breaking changes get a migration note and a deprecation window (follow the `deprecation-and-migration` skill); shipping the actual release is the `shipping-and-launch` skill's job — this section is the versioning contract that feeds it.

Common Rationalizations

| Rationalization | Reality |

|---|---|

| "I'll commit when the feature is done" | One giant commit is impossible to review, debug, or revert. Commit each slice. |

| "The message doesn't matter" | Messages are documentation. Future you (and future agents) will need to understand what changed and why. |

| "I'll squash it all later" | Squashing destroys the development narrative. Prefer clean incremental commits from the start. |

| "Branches add overhead" | Short-lived branches are free and prevent conflicting work from colliding. Long-lived branches are the problem — merge within 1-3 days. |

| "I'll split this change later" | Large changes are harder to review, riskier to deploy, and harder to revert. Split before submitting, not after. |

| "I don't need a .gitignore" | Until `.env` with production secrets gets

常见问题(FAQ)

使用「Git 工作流与版本控制」这个 skill 能解决什么问题?

本 skill 专注于Git 工作流与版本控制,addyosmani/agent-skills: git-workflow-and-versioning。它将相关流程标准化,帮助用户更快拿到可靠结果,减少重复手工操作。

什么情况下适合使用「Git 工作流与版本控制」?

当你需要在Git 工作流与版本控制相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流,都能直接调用。

使用「Git 工作流与版本控制」前需要准备什么?

需要一个具体的项目或任务上下文,最好带有代码仓库或需求文档。

FAQ

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(一句话即可)

2. 如果 skill 要求 ask user 凭证 / OAuth / 部署密钥,按提示提供

3. 完工后让 Agent 跑自检再交回

4. 全程 Agent 自动化,你只需回答"是/否"类决策点

---

使用「Git 工作流与版本控制」这个 skill 能解决什么问题?

本 skill 专注于Git 工作流与版本控制,addyosmani/agent-skills: git-workflow-and-versioning。它将相关流程标准化,帮助用户更快拿到可靠结果,减少重复手工操作。

什么情况下适合使用「Git 工作流与版本控制」?

当你需要在Git 工作流与版本控制相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流,都能直接调用。

使用「Git 工作流与版本控制」前需要准备什么?

需要一个具体的项目或任务上下文,最好带有代码仓库或需求文档。