resolve-git-conflicts
Resolve merge and rebase conflicts with safe recovery strategies. Covers identifying conflict sources, reading conflict markers, choosing resolution strategies, and continuing or aborting operations safely. Use when a git merge, rebase, cherry-pick, or stash pop reports conflicts, when a git pull results in conflicting changes, or when you need to safely abort and restart a failed merge or rebase operation.
Best use case
resolve-git-conflicts is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Resolve merge and rebase conflicts with safe recovery strategies. Covers identifying conflict sources, reading conflict markers, choosing resolution strategies, and continuing or aborting operations safely. Use when a git merge, rebase, cherry-pick, or stash pop reports conflicts, when a git pull results in conflicting changes, or when you need to safely abort and restart a failed merge or rebase operation.
Teams using resolve-git-conflicts should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/resolve-git-conflicts/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How resolve-git-conflicts Compares
| Feature / Agent | resolve-git-conflicts | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Resolve merge and rebase conflicts with safe recovery strategies. Covers identifying conflict sources, reading conflict markers, choosing resolution strategies, and continuing or aborting operations safely. Use when a git merge, rebase, cherry-pick, or stash pop reports conflicts, when a git pull results in conflicting changes, or when you need to safely abort and restart a failed merge or rebase operation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Resolve Git Conflicts Identify, resolve, and recover from merge and rebase conflicts. ## When to Use - A `git merge` or `git rebase` reports conflicts - A `git cherry-pick` cannot apply cleanly - A `git pull` results in conflicting changes - A `git stash pop` conflicts with current working tree ## Inputs - **Required**: Repository with active conflicts - **Optional**: Preferred resolution strategy (ours, theirs, manual) - **Optional**: Context about which changes should take priority ## Procedure ### Step 1: Identify the Conflict Source Determine what operation caused the conflict: ```bash # Check current status git status # Look for indicators: # "You have unmerged paths" — merge conflict # "rebase in progress" — rebase conflict # "cherry-pick in progress" — cherry-pick conflict ``` The status output tells you which files have conflicts and what operation is in progress. **Got:** `git status` shows files listed under "Unmerged paths" and indicates the active operation. **If fail:** If `git status` shows a clean tree but you expected conflicts, the operation may have already been completed or aborted. Check `git log` for recent activity. ### Step 2: Read Conflict Markers Open each conflicting file and locate the conflict markers: ``` <<<<<<< HEAD // Your current branch's version const result = calculateWeightedMean(data, weights); ======= // Incoming branch's version const result = computeWeightedAverage(data, weights); >>>>>>> feature/rename-functions ``` - `<<<<<<< HEAD` to `=======`: Your current branch (or the branch you're rebasing onto) - `=======` to `>>>>>>>`: The incoming changes (the branch being merged or the commit being applied) **Got:** Each conflicting file contains one or more blocks with `<<<<<<<`, `=======`, and `>>>>>>>` markers. **If fail:** If no markers are found but files show as conflicting, the conflict may be a binary file or a deleted-vs-modified conflict. Check `git diff --name-only --diff-filter=U` for the full list. ### Step 3: Choose a Resolution Strategy **Manual merge** (most common): Edit the file to combine both changes logically, then remove all conflict markers. **Accept ours** (keep current branch's version): ```bash # For a single file git checkout --ours path/to/file.R git add path/to/file.R # For all conflicts git checkout --ours . git add -A ``` **Accept theirs** (keep incoming branch's version): ```bash # For a single file git checkout --theirs path/to/file.R git add path/to/file.R # For all conflicts git checkout --theirs . git add -A ``` **Got:** After resolution, the file contains the correct merged content with no remaining conflict markers. **If fail:** If you chose the wrong side, re-read the conflicting version from the merge base. During a merge, `git checkout -m path/to/file` re-creates the conflict markers so you can try again. ### Step 4: Mark Files as Resolved After editing each conflicting file: ```bash # Stage the resolved file git add path/to/resolved-file.R # Check remaining conflicts git status ``` Repeat for every file listed under "Unmerged paths". **Got:** All files move from "Unmerged paths" to "Changes to be committed". No conflict markers remain in any file. **If fail:** If `git add` fails or markers remain, re-open the file and ensure all `<<<<<<<`, `=======`, and `>>>>>>>` lines are removed. ### Step 5: Continue the Operation Once all conflicts are resolved: **For merge**: ```bash git commit # Git auto-populates the merge commit message ``` **For rebase**: ```bash git rebase --continue # May encounter more conflicts on subsequent commits — repeat steps 2-4 ``` **For cherry-pick**: ```bash git cherry-pick --continue ``` **For stash pop**: ```bash # Stash pop conflicts don't need a continue — just commit or reset git add . git commit -m "Apply stashed changes with conflict resolution" ``` **Got:** The operation completes. `git status` shows a clean working tree (or moves to the next commit during rebase). **If fail:** If the continue command fails, check `git status` for remaining unresolved files. All conflicts must be resolved before continuing. ### Step 6: Abort if Needed If resolution is too complex or you chose the wrong approach, abort safely: ```bash # Abort merge git merge --abort # Abort rebase git rebase --abort # Abort cherry-pick git cherry-pick --abort ``` **Got:** Repository returns to the state before the operation started. No data loss. **If fail:** If abort fails (rare), check `git reflog` to find the commit before the operation and `git reset --hard <commit>` to restore it. Use with caution — this discards uncommitted changes. ### Step 7: Verify Resolution After the operation completes: ```bash # Verify clean working tree git status # Check that the merge/rebase result is correct git log --oneline -5 git diff HEAD~1 # Run tests to confirm nothing is broken # (language-specific: devtools::test(), npm test, cargo test, etc.) ``` **Got:** Clean working tree, correct merge history, tests pass. **If fail:** If tests fail after resolution, the merge may have introduced logical errors even though syntax conflicts are resolved. Review the diff carefully and fix. ## Validation - [ ] No conflict markers (`<<<<<<<`, `=======`, `>>>>>>>`) remain in any file - [ ] `git status` shows a clean working tree - [ ] The merge/rebase history is correct in `git log` - [ ] Tests pass after conflict resolution - [ ] No unintended changes were introduced ## Pitfalls - **Blindly accepting one side**: `--ours` or `--theirs` discards the other side entirely. Only use when you are certain one version is completely correct. - **Leaving conflict markers in code**: Always search the entire file for remaining markers after editing. A partial resolution breaks the code. - **Amending during rebase**: During an interactive rebase, do not `--amend` unless the rebase step specifically calls for it. Use `git rebase --continue` instead. - **Losing work on abort**: `git rebase --abort` and `git merge --abort` discard all resolution work. Only abort if you want to start over. - **Not testing after resolution**: A syntactically clean merge can still be logically wrong. Always run tests. - **Force-pushing after rebase**: After rebasing a shared branch, coordinate with collaborators before force-pushing, as it rewrites history. ## Related Skills - `commit-changes` - committing after conflict resolution - `manage-git-branches` - branch workflows that lead to conflicts - `configure-git-repository` - repository setup and merge strategies
Related Skills
skill-name-here
One to three sentences describing what this skill accomplishes, followed by key activation triggers. This field is the primary mechanism agents use to decide whether to activate the skill — it is read during discovery before the full body is loaded. Start with a verb. Include the most important "when to use" conditions inline. Max 1024 characters.
write-vignette
Create R package vignettes using R Markdown or Quarto. Covers vignette setup, YAML configuration, code chunk options, building and testing, and CRAN requirements for vignettes. Use when adding a Getting Started tutorial, documenting complex workflows spanning multiple functions, creating domain-specific guides, or when CRAN submission requires user-facing documentation beyond function help pages.
write-validation-documentation
Write IQ/OQ/PQ validation documentation for computerized systems in regulated environments. Covers protocols, reports, test scripts, deviation handling, and approval workflows. Use when validating R or other software for regulated use, preparing for a regulatory audit, documenting qualification of computing environments, or creating and updating validation protocols and reports for new or re-qualified systems.
write-testthat-tests
Write comprehensive testthat (edition 3) tests for R package functions. Covers test organization, expectations, fixtures, mocking, snapshot tests, parameterized tests, and achieving high coverage. Use when adding tests for new package functions, increasing test coverage for existing code, writing regression tests for bug fixes, or setting up test infrastructure for a package that lacks it.
write-standard-operating-procedure
Write a GxP-compliant Standard Operating Procedure (SOP). Covers regulatory SOP template structure (purpose, scope, definitions, responsibilities, procedure, references, revision history), approval workflow design, periodic review scheduling, and operational procedures for system use. Use when a new validated system requires operational procedures, when existing informal procedures need formalisation, when an audit finding cites missing procedures, when a change control triggers SOP updates, or when periodic review identifies outdated procedural content.
write-roxygen-docs
Write roxygen2 documentation for R package functions, datasets, and classes. Covers all standard tags, cross-references, examples, and generating NAMESPACE entries. Follows tidyverse documentation style. Use when adding documentation to new exported functions, documenting internal helpers or datasets, documenting S3/S4/R6 classes and methods, or fixing documentation-related R CMD check notes.
write-incident-runbook
Create structured incident runbooks with diagnostic steps, resolution procedures, escalation paths, and communication templates for effective incident response. Use when documenting response procedures for recurring alerts, standardizing incident response across an on-call rotation, reducing MTTR with clear diagnostic steps, creating training materials for new team members, or linking alert annotations directly to resolution procedures.
write-helm-chart
Create production-ready Helm charts for Kubernetes application deployment with templating, values management, chart dependencies, hooks, and testing. Covers chart structure, Go template syntax, values.yaml design, chart repositories, versioning, and best practices for maintainable and reusable charts. Use when packaging a Kubernetes application for repeatable deployments, parameterizing manifests for multiple environments, managing complex multi-component applications with dependencies, or standardizing deployment practices with versioned rollback capability across teams.
write-continue-here
Write a CONTINUE_HERE.md file capturing current session state so a fresh Claude Code session can pick up where this one left off. Covers assessing recent work, structuring the continuation file with objective, completed, in-progress, next-steps, and context sections, and verifying the file is actionable. Use when ending a session with unfinished work, handing off context between sessions, or preserving task state that git alone cannot capture.
write-claude-md
Create an effective CLAUDE.md file that provides project-specific instructions to AI coding assistants. Covers structure, common sections, do/don't patterns, and integration with MCP servers and agent definitions. Use when starting a new project where AI assistants will be used, improving AI behavior on an existing project, documenting project conventions and constraints, or integrating MCP servers or agent definitions into a project workflow.
vishnu-bhaga
Preservation and sustenance — maintaining working state under perturbation, memory anchoring, consistency enforcement, and protective stabilization. Maps Vishnu's sustaining presence to AI reasoning: holding what works steady, anchoring verified knowledge against drift, and ensuring continuity through change. Use when a working approach is at risk from scope creep, when context drift threatens verified knowledge, after shiva-bhaga dissolution to protect what survived, when a long session risks losing earlier decisions through context compression, or before making changes to a currently functioning system.
version-ml-data
Version machine learning datasets using DVC (Data Version Control) with remote storage backends, build reproducible data pipelines with dependency tracking, integrate with Git workflows, and ensure data lineage for model reproducibility. Use when versioning large datasets that do not fit in Git, tracking data changes alongside code changes, ensuring ML experiment reproducibility, sharing datasets across team members, or auditing data lineage for compliance requirements.