Technique to identify which ahead commits contain real changes vs. already-merged or ephemeral content
Scanned 9/9/2026
Install to Claude Code
npx -y skills add vamseeachanta/workspace-hub --skill evaluate-local-commits-via-cherry-pick-dry-run --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Evaluate Local Commits Via Cherry Pick Dry Run?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/vamseeachanta-evaluate-local-commits-via-cherry-pick-dry-run-workspace-hub)More formats (shields.io, HTML) on the badges page.
---
name: evaluate-local-commits-via-cherry-pick-dry-run
description: Technique to identify which ahead commits contain real changes vs. already-merged or ephemeral content
version: 1.0.0
source: auto-extracted
extracted: 2026-04-10
metadata:
tags: ["git", "workflow", "commit-analysis"]
---
# Evaluate Local-Only Commits via Cherry-Pick Dry-Run
When you have ahead commits on a local branch relative to origin, use `git cherry-pick --dry-run` against each commit to classify them: exit 0 with no changes = already in origin; exit 0 with staged changes = real delta; conflicts = real delta needing sequencing. This lets you quickly filter ephemeral commits (like daily regenerations or auto-syncs) from substantive changes worth preserving or upstreaming.
## Follow-on triage when upstream already landed similar work
If the dry-run or a real cherry-pick attempt shows the work is already effectively upstream:
1. Do not assume the local branch is worthless or safe to cherry-pick wholesale.
2. Preserve the branch as forensic/reference evidence until compared.
3. Compare only the high-signal files against `origin/main`, for example:
- regression tests
- canonical skill files touched by the work
- any review artifacts explaining what changed
4. Separate the local-only delta into:
- clean, reusable learnings worth salvaging
- unrelated drift / contamination from the duplicate execution context
5. If the branch contains mixed signal + noise, prefer creating a focused follow-up GitHub issue describing the salvage candidates instead of cherry-picking the whole branch.
6. In that issue, explicitly capture:
- what landed upstream already
- what extra local-only checks/content appear useful
- why direct cherry-pick is unsafe
- the narrow acceptance criteria for selective salvage
### Example reusable pattern
This was useful when a duplicate implementation branch for an already-landed skills dedup issue contained:
- a stronger regression test with broader dangling-reference surface checks
- a much larger alternate skill draft with possible overlap/noise
The right move was:
- keep upstream as authoritative
- preserve the duplicate branch for reference
- inspect targeted file deltas only
- create a narrow follow-up issue for selective salvage rather than replaying the branch
## Pitfall
A preserved duplicate branch often contains unrelated edits from the worktree/session. Treat it as a source of candidate learnings, not as a merge-ready patch set.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!