git-recovery
Skill17 starsChanged 3 months agoNo licenceView on GitHub
Diagnose and repair a bad Git state with the least destructive fix: commits on the wrong branch, a broken or abandoned rebase, merge, or reset, lost commits or stashes, a detached HEAD, an unwanted large file, or a bad commit or merge already pushed to a shared branch. Saves the current state first and gates every destructive command on approval. Use when history or the working tree is not what it should be. Not for resolving conflicts (use the resolve-merge-conflicts skill) or committed secrets (use the secret-leak-response skill).
- Deletes or force-pushes
- Commits and pushes
4 other projects use a version of this.
Adopted by
Most recently taken up by
- d4rken/clankermuxtheir own version, first seen Nov 2, 2026
- gabrielbauman/skillstheir own version, first seen Nov 1, 2026
- Indium-AI-Labs/indium-agentkitword for word, first seen Nov 1, 2026
- dagarre00/claude-code-templatetheir own version, first seen Oct 15, 2026
Other versions4 projects use a version of this.
Word for word · 1
- Indium-AI-Labs/indium-agentkit★ 18100% same
Edited · 0
None found.
Wrote their own version · 3
- d4rken/clankermux★ 11same name
- dagarre00/claude-code-template★ 1same name
- gabrielbauman/skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- access-control-designSkill
- accessibility-auditSkill
- add-cachingSkill
- address-review-feedbackSkill
- analyze-dataSkill
- api-designSkill
- ast-manipulation-codemodsSkill
- author-agentkit-contentSkill
- backend-apiSkill
- background-jobs-and-queuesSkill
- browser-security-configSkill
- build-llm-featureSkill
- build-retrievalSkill
- ci-pipelineSkill
- compliance-auditSkill
- config-and-secretsSkill
- containerize-serviceSkill
- contract-testingSkill
- cryptographic-protocol-implementationSkill
- database-designSkill
- data-pipeline-designSkill
- data-retention-and-erasureSkill
- delegate-workSkill
- dependency-auditSkill
- deployment-safetySkill
- e2e-test-suiteSkill
- estimate-workSkill
- evaluate-new-dependencySkill
- event-sourcing-architectureSkill
- feature-flag-lifecycleSkill
- flaky-test-triageSkill
- frontend-shipSkill
- handle-file-uploadsSkill
- hardware-in-loop-testingSkill
- implement-authenticationSkill
- incident-triageSkill
- infrastructure-as-codeSkill
- infrastructure-reviewSkill
- init-agent-contextSkill
- internationalize-uiSkill
- kubernetes-workloadsSkill
- llm-eval-harnessSkill
- load-testing-suiteSkill
- local-llm-integrationSkill
- mcp-server-developmentSkill
- memory-leak-investigationSkill
- ml-model-developmentSkill
- mobile-featureSkill
- mobile-release-safetySkill
- multi-agent-workflow-designSkill
- observability-setupSkill
- onboard-to-codebaseSkill
- performance-optimizationSkill
- plan-changeSkill
- product-analyticsSkill
- production-data-fixSkill
- prototype-spikeSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 7 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.