git-workflow-and-versioning
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- Read-only
- Write / modify
- Env read
- Network behavior
- External requests
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- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: git-workflow-and-versioning
description: Structures git workflow practices. Use when making any code change. Use when committing, branchi…
category: ai
runtime: no special runtime
---
# git-workflow-and-versioning output preview
## PART A: Task fit
- Use case: 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 this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Repo-Specific Workflow / Critical Rules (this repo) / Overview” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “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 this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Repo-Specific Workflow / Critical Rules (this repo) / Overview” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, read environment variables; may access external network resources; requires Vendor-specific API keys.
## Running Rules
- read files, write/modify files, read environment variables; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, read environment variables.
Start with a small task and check whether the result follows “Repo-Specific Workflow / Critical Rules (this repo) / Overview”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: git-workflow-and-versioning
description: Structures git workflow practices. Use when making any code change. Use when committing, branchi…
category: ai
source: tomevault-io/skills-registry
---
# git-workflow-and-versioning
## When to use
- Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflict…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Repo-Specific Workflow / Critical Rules (this repo) / Overview” and keep inference separate from source facts.
- read files, write/modify files, read environment variables; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "git-workflow-and-versioning" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Repo-Specific Workflow / Critical Rules (this repo) / Overview
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, read environment variables | may access external network resources
guardrails -> requires Vendor-specific API keys + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Git Workflow and Versioning
Repo-Specific Workflow
This repo uses scripts/git-agent.sh for session-based agent work. The key workflow:
| Step | Command | Description |
|---|---|---|
| Start | git-agent.sh start <name> |
Creates worktree + branch from main |
| Commit | git-agent.sh commit -m "msg" |
Stages all, runs quality gate, commits without --no-verify |
| End | git-agent.sh end --pr |
Squashes, pushes branch, creates PR (required — main is protected) |
| Abort | git-agent.sh abort <id> |
Discards worktree and branch |
Critical Rules (this repo)
end --mergeis NOT supported on protected branches. The script auto-converts--mergeto--prwhen detected.end --pris required to land changes onmain. Branch protection enforces PR-only merges.- Two-tier commit system:
- Checkpoint commits (during development): Use imperative mood English. Example:
Add validation to registration endpoint - PR merge commits (permanent history): Use conventional commits. Example:
feat: add validation to registration endpoint
- Checkpoint commits (during development): Use imperative mood English. Example:
- CI must pass before PRs can merge. Required checks:
Lint & Validate+Smoke Tests. - Pre-commit hook verifies committer identity (
B67687 <111849193+B67687@users.noreply.github.com>). This runs on every commit (no--no-verifyexcept in crash WIP trap). - Pre-push hook verifies all pushed commits have valid SSH signatures.
Commit-msg hook at ~/.config/git/hooks/commit-msg (outside repo — set via core.hookspath):
Validates conventional commit format (feat:, fix:, etc.) and English imperative checkpoint
commits. Only activates for B67687/agentic-workflows — pass-through for all other repos.
Companion script: scripts/git-branch-cleanup.sh --- scans branches for staleness, merge status, and divergence. Run from the skill directory:
bash ./scripts/git-branch-cleanup.sh scan # all branches
bash ./scripts/git-branch-cleanup.sh stale 5 # branches >5 days old
bash ./scripts/git-branch-cleanup.sh merged # branches merged into main
bash ./scripts/git-branch-cleanup.sh diverged # branches far behind main
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.
- Dev branches are costs. Every day a branch lives, it accumulates merge risk.
- Release branches are acceptable. When you need to stabilize a release while main moves forward.
- Feature flags > long branches. Prefer deploying incomplete work behind flags rather than keeping it on a branch for weeks.
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:
feat--- New featurefix--- Bug fixrefactor--- Code change that neither fixes a bug nor adds a featuretest--- Adding or updating testsdocs--- Documentation onlychore--- Tooling, dependencies, config
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 from
main(or the team's default branch) - Keep branches short-lived (merge within 1-3 days) --- long-lived branches are hidden costs
- Delete branches after merge
- Prefer feature flags over long-lived branches for incomplete features
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:
- Multiple agents can work on different features simultaneously
- No branch switching needed (each directory has its own branch)
- If one experiment fails, delete the worktree --- nothing is lost
- Changes are isolated until explicitly merged
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
- Commit generated files only if the project expects them (e.g.,
package-lock.json, Prisma migrations) - Don't commit build output (
dist/,.next/), environment files (.env), or IDE config (.vscode/settings.jsonunless shared) - Have a
.gitignorethat covers:node_modules/,dist/,.env,.env.local,*.pem
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
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 committed. Set it up immediately. |
Red Flags
- Large uncommitted changes accumulating
- Commit messages like "fix", "update", "misc"
- Formatting changes mixed with behavior changes
- No
.gitignorein the project - Committing
node_modules/,.env, or build artifacts - Long-lived branches that diverge significantly from main
- Force-pushing to shared branches
Verification
For every commit:
- Commit does one logical thing
- Message explains the why, follows type conventions
- Tests pass before committing
- No secrets in the diff
- No formatting-only changes mixed with behavior changes
-
.gitignorecovers standard exclusions
Source: B67687/agentic-workflows — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review