Skill git-version-control
Implementa estándares de commits de Git, estrategias de branching y flujos de trabajo de desarrollo asistidos por LLM para garantizar commits atómicos e integración de alta frecuencia.
- Estrellas en GitHub
- 9
- Archivos
- 1
- Último commit
- 13 oct 2026
- Licencia
- EPL-2.0
- Herramientas permitidas
- —
¿Qué hace la skill git-version-control?
git-version-control es una agent skill. Implementa estándares de commits de Git, estrategias de branching y flujos de trabajo de desarrollo asistidos por LLM para garantizar commits atómicos e integración de alta frecuencia.
Resumen generado a partir del SKILL.md de la skill.
Sobre la skill git-version-control
Los desarrolladores que trabajan en entornos de alta velocidad pueden usar este SKILL para implementar flujos de trabajo de control de versiones disciplinados. Proporciona un marco para mantener commits atómicos y elegir entre trunk-based development o GitHub flow según las necesidades del proyecto. Este SKILL es particularmente útil para quienes usan IA para generar código, ya que introduce patrones de checkpoint para protegerse contra salidas incorrectas de los LLM.
Cuando un agente tiene la tarea de gestionar cambios de código, utiliza este SKILL para identificar señales de finalización como la superación de tests, builds exitosos o el cumplimiento de linters. Produce historiales de commits de alta calidad al aplicar estándares de conventional commits y usar squash-merges para mantener limpio el historial de la rama principal. El SKILL se basa en comandos de Git y estrategias específicas, como el uso de fixup commits con autosquash para manejar correcciones sin ensuciar el registro público. También ofrece orientación sobre cuándo usar feature branches frente a hacer commits directamente en la rama principal para evitar ceremonias innecesarias.
Lo que un agente puede hacer con ella
- 1Mantener la disciplina de commits atómicosUn agente puede decidir hacer commit del código inmediatamente después de que una suite de tests pase para crear un punto de guardado confiable.
- 2Proteger el trabajo durante la generación por IAUn desarrollador puede crear puntos de guardado ligeros antes de permitir que un LLM modifique archivos para asegurar una recuperación fácil.
- 3Limpiar el historial de commitsUsa flujos de trabajo de fixup para registrar correcciones y hacer squash antes de hacer push para asegurar que ningún error llegue al repositorio compartido.
- 4Aplicar mensajería de commits profesionalAsegura que todos los mensajes de commit usen el modo imperativo y se centren en el resultado en lugar del proceso de depuración.
Escrito a partir del SKILL.md de la skill. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar la skill git-version-control
Cada comando copia la carpeta de la skill al directorio de skills del cliente. Reinicia el cliente o inicia una nueva sesión para cargarla.Instalar la skill git-version-control en Plugin
/plugin marketplace add Pyroxin/opinionated-claude-skills /plugin install opinionated-software-engineering@opinionated-claude-skills
Instalar la skill git-version-control en Claude Code
~/.claude/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.claude/skills/git-version-controlInstalar la skill git-version-control en Claude Code (project)
.claude/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control .claude/skills/git-version-controlInstalar la skill git-version-control en Codex
~/.agents/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.agents/skills/git-version-controlInstalar la skill git-version-control en Gemini CLI
~/.gemini/skills/git-version-control/SKILL.md
$ npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.gemini/skills/git-version-controlInstalar la skill git-version-control en Claude.ai
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
Ver en GitHubGit 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/ ↩
Archivos de esta skill
1Preguntas sobre la skill git-version-control
¿Cómo instalo la skill git-version-control en Claude Code?
Ejecuta npx degit Pyroxin/opinionated-claude-skills/opinionated-software-engineering/skills/git-version-control ~/.claude/skills/git-version-control. Claude Code carga las skills desde ~/.claude/skills (todos los proyectos) o .claude/skills (un proyecto) y usa una skill cuando su descripción coincide con la tarea.
¿Qué clientes pueden usar la skill git-version-control?
Cualquier cliente que lea el formato Agent Skills: Claude Code, Codex, Gemini CLI y claude.ai (subir como ZIP). Los scripts de la skill se ejecutan solo donde el cliente permite la ejecución de código.
¿Cómo debo escribir mis mensajes de commit?
Usa el modo imperativo y palabras clave completas (por ejemplo, 'feature:'). El asunto debe tener 50 caracteres o menos y completar la frase 'If applied, this commit will _____.'.
¿Debería usar merge o rebase?
Usa rebase para ramas privadas para mantener un historial lineal cuando trabajes solo, pero usa merge para ramas públicas o compartidas para preservar el historial de colaboración.
¿Cuál es la forma más segura de hacer un force push después de un rebase?
Usa --force-with-lease en lugar de --force para evitar sobrescribir el trabajo que otros hayan subido.