git-version-control
Scannednpx machina-cli add skill Pyroxin/opinionated-claude-skills/git-version-control --openclawGit Version Control
<skill_scope skill="git-version-control"> Related skills:
software-engineer— Design principles that inform commit granularitytest-driven-development— Test-commit cycles and when to commit during TDD
This skill covers Git commit standards, branch strategy, and LLM-assisted development workflows. It emphasizes atomic commits, meaningful commit messages, and high-frequency integration. </skill_scope>
Core Philosophy
<core_philosophy> "Commit Often, Perfect Later, Publish Once" — Seth Robertson
Integration frequency is the most powerful determinant of branching success. Elite teams integrate multiple times daily. "If it hurts, do it more often." — Martin Fowler
Revertability principle: Commits should represent meaningful units of work that could be reverted independently without breaking the system. </core_philosophy>
Commit Practices
<atomic_commits> Atomic commit decision: "If you can describe what you did in a short sentence and it makes sense, commit."
When larger commits are acceptable: Initial prototyping (squash before review), closely coupled changes, when over-granularity loses context.
Time guideline: 30-60 min ideal, max 4 hours. See <commit_triggers> for event-based commit points.
</atomic_commits>
Commit Triggers
<commit_triggers> Commits are responses to completion events, not scheduled activities.
Commit discipline isn't about remembering to commit—it's about recognizing completion signals.
<observable_completion_events>
Observable Completion Events
| Event | Action | Rationale |
|---|---|---|
| Tests pass after a change | Commit | Green is a save point |
| Build succeeds after a change | Commit | Working state confirmed |
| Linter/type checker passes | Commit | Code meets standards |
| Todo item marked complete | Commit | Logical unit finished |
| User confirms functionality | Commit | Acceptance achieved |
| Configuration value tweaked | Commit | Discrete, working change |
Key insight: Passing tests/builds are commit signals, not just validation. Green means save your progress. </observable_completion_events>
<transition_points>
Transition Points
| Transition | Action | Rationale |
|---|---|---|
| Before starting different task | Commit current work | Clean separation |
| Before risky/experimental change | Commit as checkpoint | Safe rollback point |
| After reverting failed approach | Commit clean state | Document decision |
| Before context window compaction | Commit all work | Preserve across sessions |
| </transition_points> |
<conversational_cues>
LLM-Assisted Conversational Cues
In LLM-assisted development, user messages signal completion:
| User Says | Likely Meaning | Action |
|---|---|---|
| "That works", "looks good", "perfect" | Acceptance | Commit |
| "Done", "ship it", "let's move on" | Task complete | Commit |
| "Now let's work on..." | Topic change | Commit previous work first |
| "Can you also..." | Scope expansion | Consider committing current state |
Anti-pattern: Batching multiple unrelated changes because "I'll commit later." Each completion event deserves its own commit. </conversational_cues> </commit_triggers>
Branch Discipline
<branch_discipline> Before committing, verify you're on the appropriate branch:
| Situation | Action |
|---|---|
| On main, multi-commit work expected | Create feature branch first |
| On main, single quick-fix commit | Acceptable to commit directly |
| On feature branch | Commit freely |
| Unsure how many commits needed | Create feature branch (safer default) |
LLM-assisted pattern: When starting work that might need multiple commits, proactively create a feature branch before the first commit. Ask the user if uncertain about scope.
<merge_strategy> Merge strategy for completed branches:
| Branch State | Recommended Merge | Rationale |
|---|---|---|
| 1-2 clean commits | ff-merge or rebase-merge | Preserves meaningful history |
| 3-5 commits | Consider squash-merge | Balance history vs. noise |
| >5 commits | Strongly prefer squash-merge | Collapse implementation noise |
| Messy/WIP commits | Squash-merge | Hide the sausage-making |
Squash preference: Feature branches with more than 3-5 commits should generally be squash-merged. The intermediate commits represent implementation exploration, not meaningful history. Mainline should tell the story of what changed, not how you figured it out. </merge_strategy> </branch_discipline>
<conventional_commits>
Style preference: Use full keywords (feature: not feat:). Imperative mood. Subject ≤50 chars, body wraps at 72, explain WHY.
Imperative mood test: Subject line should complete the sentence "If applied, this commit will _____."[^beams] Examples: "Add caching for API responses" ✓, "Added caching" ✗, "Adds caching" ✗.
Content principles:
- Delta, not journey — Describe what changed, not how you discovered what to change. The debugging process doesn't belong in the permanent record.
- Neutral framing — Avoid judgmental language about prior state ("fix broken", "remove wrong", "correct mistake"). Prefer neutral verbs: "update", "change", "revise".
- Outcome, not process — Don't document how you verified, tested, or arrived at the change. The commit message records what, not how you figured it out.
- Let the diff speak — Implementation details belong in the diff. The message explains intent and scope; the diff shows specifics.
Anti-pattern: "Fix incorrect attribution that cited Apple docs when the quote was actually from a community blog post" — this documents the debugging journey, uses judgmental framing, and includes detail the diff already shows.
Better: "Update source attributions" — neutral, outcome-focused, appropriate abstraction level. </conventional_commits>
<fixup_workflow>
git commit --fixup=<sha> # Creates "fixup! Original message"
git rebase --autosquash origin/main # Squashes fixups automatically
git config --global rebase.autosquash true
</fixup_workflow>
Branching Strategies
<branching_decision>
| Context | Strategy | Integration |
|---|---|---|
| Single production version, strong CI/CD | Trunk-Based | Multiple times daily |
| Continuous deployment, web apps | GitHub Flow | Daily+ |
| Multiple production versions | Git Flow | Per release |
Trunk-based: Short-lived branches (<24h), feature flags for incomplete work.
Branch naming: <category>/<ticket-id>-<description> (e.g., feature/PROJ-4521-add-oauth)
</branching_decision>
<merge_vs_rebase> Rebase: Private branches, linear history, working alone. Merge: Public/shared branches, preserve collaboration history, audit trails.
GOLDEN RULE: Never rebase commits others may have based work on.
Force push safety: After rebasing a personal branch, use --force-with-lease instead of --force. It fails if someone else pushed, preventing you from overwriting their work.
git push --force-with-lease # Safe
git push --force # Dangerous
CRITICAL: NEVER force push to main/master branches. Even with --force-with-lease, force pushing to primary branches can destroy team history, break CI/CD pipelines, and cause widespread disruption. If this is ever requested, warn about the consequences first.
</merge_vs_rebase>
<interactive_limitations>
LLM-assisted context limitation: Interactive git commands (git rebase -i, git add -i, git add -p) require terminal interaction and are unavailable in LLM-assisted contexts. Use alternatives:
- Instead of
git rebase -i: Use--autosquashwith fixup commits - Instead of
git add -i: Use explicitgit add <file>commands - Instead of
git add -p: Stage specific files, or use GUI tools </interactive_limitations>
LLM-Assisted Development Patterns
Checkpoint Commits
<llm_checkpoints> Lightweight savepoints before LLM modifications without commit overhead.
Git aliases (adapted from Nathan Orick's checkpoint pattern1):
[alias]
checkpoint = "!f() { git add -A && git commit --no-verify -m \"SAVEPOINT\"; git tag \"checkpoint/$(date +%Y_%m_%d_%H_%M_%S)\"; git reset HEAD~1 --mixed; }; f"
listCheckpoints = tag -l "checkpoint/*"
loadCheckpoint = "!f() { git reset --hard checkpoint/$1 && git reset HEAD~1 --mixed; }; f"
deleteCheckpoint = "!f() { git tag -d checkpoint/$1; }; f"
Workflow:
git checkpoint # Before LLM changes
git listCheckpoints # View savepoints
git loadCheckpoint 2024_11_15_13_25_55 # Restore if bad
</llm_checkpoints>
Commit Frequency by Context
<commit_frequency>
| Context | Frequency | Granularity |
|---|---|---|
| Solo prototyping | Very high | Very fine |
| Team feature dev | Hourly | Atomic units |
| Pre-review cleanup | Once | Squashed |
| LLM-generated code | High → Low | Fine → Squashed |
| </commit_frequency> |
Generate-Test-Commit-or-Revert
<generate_test_commit>
- CHECKPOINT before LLM generates code
- TEST — run tests, build, verify
- DECIDE — pass → commit immediately; fail → restore checkpoint
- REVIEW — PR before merge
Key insight: AI excels at generating plausible-looking but subtly incorrect code. Time saved by being careless will dwarf the mess you'll face later.
If LLM fails 3+ times, break it down further — abstraction level too high. </generate_test_commit>
Context Management
<context_management>
git diff --no-pager --no-color HEAD^ # Full diff for review
git diff -U0 # No context (fewer tokens)
git diff --cached # Staged changes only
</context_management>
Recovery Patterns
<recovery_triggers> Reflog — Recover from rebases, resets, amends. Local only, 90 days default.
git reflog
git reset --hard HEAD@{5}
git reset --hard main@{2.hours.ago}
Rerere — Auto-resolve repeated conflicts. Enable: git config --global rerere.enabled true
Bisect — O(log n) regression hunting.
git bisect start && git bisect bad HEAD && git bisect good v1.0
git bisect run make test # Automated
</recovery_triggers>
Tool Selection
<stash_branch_worktree>
| Tool | Use When |
|---|---|
| Stash | Very temporary, same day |
| Branch | >few hours, need sharing |
| Worktree | Parallel work, multi-agent |
Multi-agent worktrees:
git worktree add ../agent-1-workspace feature-auth
git worktree add ../agent-2-workspace feature-payment
</stash_branch_worktree>
Anti-Patterns
<anti_patterns> Commit Anti-Patterns:
- Broken code on main: Every commit on main should pass tests and build. Use feature branches or feature flags.
- Giant mixed-concern commits: Mixing refactoring with features makes review and revert impossible. Separate concerns.
- Meaningless messages: "fix", "update", "WIP" provide no context. Explain WHY, not just WHAT.
- Committing secrets: API keys, credentials, private keys. Use
.gitignore, git-secrets, or pre-commit hooks.
Branch Anti-Patterns:
- Long-lived branches (>1 week): Merge conflicts compound exponentially. Integrate frequently.
- Rebasing public branches: Rewrites shared history. Use merge for shared branches.
- No feature flags on trunk: Incomplete features on main without flags block releases.
- Force pushing to main/master: Destroys team history. Never do this.
LLM-Assisted Anti-Patterns:
- "Vibe coding" without review: LLM output requires human verification before commit.
- No checkpoints before LLM changes: Always checkpoint before LLM modifications for easy rollback.
- Context drift from large windows: Long conversations lose context. Break into smaller tasks. </anti_patterns>
Common Mistakes by Background
<common_mistakes>
From SVN/Perforce Users
- Treating branches as expensive (they're cheap in Git—use them freely)
- Expecting central locking (Git is distributed—conflicts resolve at merge)
- Not pulling before push (always
git pull --rebasebefore pushing) - Expecting linear history without effort (requires disciplined rebasing)
From Solo Developers
- Not considering rebase vs merge implications (matters when collaborating)
- Treating main as scratch space (use feature branches even when solo)
- Giant commits because "only I use this" (future you will regret it)
- No commit message discipline (you'll forget why in 6 months)
From GUI-Only Users
- Not understanding what commands the GUI executes (learn the underlying operations)
- Panic when something goes wrong (reflog saves almost everything)
- Not leveraging command-line power for scripting and automation </common_mistakes>
Resources
<resources> **Official:** - [Git Documentation](https://git-scm.com/docs) - [Pro Git Book](https://git-scm.com/book/en/v2)Patterns:
- Martin Fowler: Branching Patterns
- ConventionalCommits.org
- Nathan Orick: Git Checkpoints </resources>
Sources
<sources> [^beams]: Chris Beams. 2014. How to Write a Git Commit Message. https://cbea.ms/git-commit/ </sources>Footnotes
-
Nathan Orick. Git Checkpoints. https://nathanorick.com/git-checkpoints/ ↩
Source
git clone https://github.com/Pyroxin/opinionated-claude-skills/blob/main/opinionated-software-engineering/skills/git-version-control/SKILL.mdView on GitHub Overview
This skill codifies Git commit standards, branching strategies, and high velocity LLM-assisted workflows. It emphasizes atomic commits, meaningful messages, and frequent integration using trunk-based or GitHub Flow approaches, plus recovery patterns.
How This Skill Works
Developers create small, meaningful commits guided by observable completion signals such as tests passing, builds succeeding, or linters passing. Commits are placed on the appropriate branch for the work, with branching discipline and explicit choices between merge and rebase based on history desires and risk. LLM-assisted workflows provide cues for when to commit and how to structure messages, aligning with conventional commit practices where appropriate.
When to Use It
- Implementing a clearly scoped change that should be easily revertable
- Working in a high velocity environment where integration happens multiple times a day
- Before attempting risky or experimental changes to capture a clean checkpoint
- Collaborating on feature work with a defined branch strategy such as trunk-based or GitHub Flow
- Recovering from a failed approach by restoring a clean state and documenting the decision
Quick Start
- Step 1: Identify the smallest, self contained change that accomplishes the goal
- Step 2: On the correct branch, implement the change and commit only after an observable completion event
- Step 3: Push changes and merge using your chosen strategy, documenting decisions and recovery steps
Best Practices
- Make commits atomic: one logical change per commit
- Write meaningful messages and follow conventional commit style when appropriate
- Commit only after observable completion events like tests, builds, or lint passing
- Choose branches carefully: use feature branches for multi-step work and main for stable state
- Decide merge vs rebase based on history readability and risk, and capture recovery points
Example Use Cases
- Fix a small bug after the test suite passes and commit the fix as an atomic unit
- Add a small feature with a clearly defined scope, commit after tests and lint pass, and use conventional commits
- Create a feature branch for UI tweak and open a PR to main using GitHub Flow
- Rebase your local feature branch onto the latest main to keep a linear history
- If an experimental approach fails, revert to a clean checkpoint and document the decision