git-version-control Skill
Implementiert Git-Commit-Standards, Branching-Strategien und LLM-gestützte Development-Workflows, um atomare Commits und eine hochfrequente Integration zu gewährleisten.
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- Letzter Commit
- 13. Okt. 2026
- Lizenz
- EPL-2.0
- Erlaubte Tools
- —
Was macht der git-version-control Skill?
git-version-control ist ein Agent Skill. Implementiert Git-Commit-Standards, Branching-Strategien und LLM-gestützte Development-Workflows, um atomare Commits und eine hochfrequente Integration zu gewährleisten.
Zusammenfassung erzeugt aus der SKILL.md des Skills.
Über den git-version-control skill
Entwickler in High-Velocity-Umgebungen können diesen Skill nutzen, um disziplinierte Version-Control-Workflows zu implementieren. Er bietet ein Framework für atomare Commits und hilft bei der Entscheidung zwischen Trunk-based Development oder GitHub Flow, je nach Projektanforderungen. Der Skill ist besonders nützlich für alle, die KI zur Code-Generierung nutzen, da er Checkpoint-Patterns einführt, um sich gegen fehlerhafte LLM-Outputs abzusichern.
Wenn ein Agent damit beauftragt wird, Code-Änderungen zu verwalten, nutzt er diesen Skill, um Completion-Signale wie bestandene Tests, erfolgreiche Builds oder Linter-Compliance zu identifizieren. Er erzeugt hochwertige Commit-Historien, indem er Conventional Commit Standards erzwingt und Squash-Merges verwendet, um die Mainline-History sauber zu halten. Der Skill basiert auf Git-Commands und spezifischen Strategien, wie etwa der Nutzung von fixup commits mit autosquash, um Korrekturen vorzunehmen, ohne den öffentlichen Record zu verschmutzen. Zudem bietet er Leitlinien dazu, wann Feature Branches sinnvoll sind und wann man direkt in die Mainline committet, um unnötigen Overhead zu vermeiden.
Was ein agent damit machen kann
- 1Atomare Commit-Disziplin beibehaltenEin Agent kann entscheiden, Code sofort nach dem Bestehen einer Test-Suite zu committen, um einen zuverlässigen Savepoint zu erstellen.
- 2Arbeit während der KI-Generierung schützenEin Entwickler kann leichtgewichtige Savepoints erstellen, bevor er ein LLM Dateien modifizieren lässt, um eine einfache Wiederherstellung zu gewährleisten.
- 3Commit-History aufräumenNutze Fixup-Workflows, um Korrekturen zu protokollieren und diese vor dem Pushen zu squashen, damit keine Fehler in das Shared Repository gelangen.
- 4Professionelles Commit-Messaging anwendenStelle sicher, dass alle Commit-Messages den Imperativ verwenden und sich auf das Ergebnis statt auf den Debugging-Prozess konzentrieren.
Geschrieben basierend auf dem SKILL.md des skills. Jeder use case wurde gegen ein zitat daraus geprüft.
So installierst du den git-version-control Skill
Jeder Befehl kopiert den Skill-Ordner in das Skills-Verzeichnis des Clients. Starte den Client neu oder beginne eine neue Session, um ihn zu laden.Den git-version-control Skill in Plugin installieren
/plugin marketplace add Pyroxin/opinionated-claude-skills /plugin install opinionated-software-engineering@opinionated-claude-skills
Den git-version-control Skill in Claude Code installieren
~/.claude/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.claude/skills/git-version-controlDen git-version-control Skill in Claude Code (project) installieren
.claude/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control .claude/skills/git-version-controlDen git-version-control Skill in Codex installieren
~/.agents/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.agents/skills/git-version-controlDen git-version-control Skill in Gemini CLI installieren
~/.gemini/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.gemini/skills/git-version-controlDen git-version-control Skill in Claude.ai installieren
npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control git-version-control && zip -r git-version-control.zip git-version-control # claude.ai → Customize → Skills → + → Create skill → Upload a skill → git-version-control.zip
SKILL.md
Auf GitHub ansehenGit 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[^robertson]
Integration frequency is the most powerful determinant of branching success. State of DevOps research found that elite teams integrate notably more often than low performers, and continuous-integration practitioners typically integrate many times a day. "If it hurts, do it more often." — Martin Fowler1
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. Default to committing a finished, self-contained change directly to mainline; reach for a feature branch only when the work will span more than one commit, or when it would overlap other in-progress work.
| Situation | Action |
|---|---|
| Single self-contained commit, no overlap with other in-progress work | Commit directly to mainline |
| Work expected to span more than one commit | Create a feature branch first |
| Change overlaps other uncommitted or parallel work (e.g., shared files, a concurrent effort) | Isolate on a feature branch or worktree |
| Already on a feature branch | Commit freely |
A feature branch earns its cost for two reasons: it groups a multi-commit unit of work so it can be reviewed and merged as one unit, and it isolates a change that would otherwise mix with other in-progress work. A single finished commit that meets neither condition gains nothing from a branch; mainline is the target, and creating a branch for it only adds ceremony.
LLM-assisted pattern: For one finished, self-contained change, commit it to mainline. Create a branch when you expect follow-up commits on the same unit of work, or when the change would entangle with other uncommitted work in the same files. When you genuinely can't tell whether follow-up commits are coming, ask rather than defaulting to a branch.
<merge_strategy> Merge strategy for completed branches: Squash-merge a feature branch to mainline when it's ready for release. A branch is created only for multi-commit or overlapping work (see the table above), so its intermediate commits are implementation exploration, not history worth carrying onto mainline. Squashing lands the whole unit of work as a single mainline commit, so mainline tells the story of what changed, not how you figured it out.
A branch is a single unit of work, and its contents define that unit: subunits inside a feature (e.g., a refactor the feature needed) become part of the one commit the squash creates. Concern separation happens when deciding what belongs on the branch (see the table above), so the squash takes the branch whole.
Give the squashed commit a message that summarizes the unit of work as a whole, rather than inheriting the last branch commit's message. Because the squash puts the change on mainline as one finished commit, merge only once the branch is release-ready. </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 _____."2 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>
Record a correction as a fixup and squash it before pushing, so that no pushed commit carries the mistake. A pushed commit stays retrievable by its own identifier whatever later commits do, so a follow-up fix publishes a corrected version beside the original rather than replacing it. That is also why a short series costs less to qualify than a long one: each commit is independently fetchable and so needs checking on its own. For the publication consequences, see <per_commit_publication_gate> in opinionated-skill-creation:expert-skill-creator.
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 pattern3):
[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
Patterns:
Sources
Footnotes
-
Martin Fowler. 2020. Patterns for Managing Source Code Branches. Retrieved September 6, 2026 from https://martinfowler.com/articles/branching-patterns.html ↩
-
Chris Beams. 2014. How to Write a Git Commit Message. https://cbea.ms/git-commit/ ↩
-
Nathan Orick. Git Checkpoints. https://nathanorick.com/git-checkpoints/ ↩
Dateien in diesem Skill
1git-version-control Skill-Fragen
Wie installiere ich den git-version-control Skill in Claude Code?
Führe npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.claude/skills/git-version-control aus. Claude Code lädt Skills aus ~/.claude/skills (alle Projekte) oder .claude/skills (ein Projekt) und nutzt einen Skill, wenn seine Beschreibung zur Aufgabe passt.
Welche Clients können den git-version-control Skill nutzen?
Jeder Client, der das Agent Skills-Format liest: Claude Code, Codex, Gemini CLI und claude.ai (als ZIP hochladen). Skripte im Skill laufen nur dort, wo der Client Codeausführung erlaubt.
Wie sollte ich meine Commit-Messages schreiben?
Verwende den Imperativ und vollständige Keywords (z. B. 'feature:'). Das Subject sollte maximal 50 Zeichen lang sein und den Satz 'If applied, this commit will _____.' vervollständigen.
Sollte ich merge oder rebase verwenden?
Nutze rebase für private Branches, um eine lineare History beizubehalten, wenn du alleine arbeitest. Nutze merge für öffentliche oder geteilte Branches, um die Kollaborations-Historie zu bewahren.
Was ist der sicherste Weg für einen force push nach einem rebase?
Verwende --force-with-lease anstelle von --force, um zu verhindern, dass Arbeit überschrieben wird, die andere bereits gepusht haben.