Skill Snapshot enables version control for AI skills, allowing operations teams to save, restore, and compare skill versions. Backups are stored in private GitHub repositories, ensuring data security and easy retrieval.
git clone https://github.com/wshuyi/skill-snapshot-skill.gitSkill Snapshot provides version control for Claude Code skills, allowing you to save snapshots, restore previous versions, and compare changes with ease. Backups are automatically stored in a private GitHub repository, ensuring your skill modifications are secure and recoverable. The skill includes smart scanning to identify which skills need backup, automatic version tagging, and skip rules that prevent backing up archived skills, symlinks, or skills with existing version control. Operations teams can initialize repositories, save snapshots before modifications, restore broken skills to known-good versions, and track changes across multiple skill versions.
[{"step":"Prepare your skill details","action":"Gather the current skill name, description, and any recent changes made. Ensure you have access to the private GitHub repository where snapshots will be stored.","tip":"Use your organization's naming convention for skills (e.g., 'customer-support-ticket-classifier'). Include version numbers in your descriptions for clarity."},{"step":"Generate the snapshot","action":"Run the prompt template in your AI assistant, replacing [PLACEHOLDERS] with actual values. For example: 'Create a version control snapshot for the AI skill 'Customer Support Ticket Classifier' with the following details: 'AI skill that automatically classifies incoming support tickets...'. Save the snapshot to the private GitHub repository 'acme-ai-skills' under the branch 'main'. Include a changelog entry summarizing the changes made since the last version v1.2.2.'","tip":"Use the `--dry-run` flag if your AI assistant supports it to preview the snapshot before committing. This helps catch errors early."},{"step":"Review and commit","action":"Review the generated snapshot JSON for accuracy. Commit the changes to GitHub using a descriptive commit message like 'feat: update Customer Support Ticket Classifier to v1.2.3'.","tip":"Use GitHub's pull request workflow to ensure the snapshot is reviewed by another team member before merging to the main branch."},{"step":"Restore or compare versions","action":"To restore a previous version, use the GitHub repository to checkout the desired snapshot branch or tag. To compare versions, use GitHub's diff tools or the AI assistant to analyze changes between two snapshots.","tip":"For large teams, create a Slack or Teams notification when a new snapshot is committed to keep everyone informed of skill updates."}]
Save skill snapshots before making modifications to enable quick rollback if issues arise
Restore broken skills to a previous working version tagged with version numbers
Scan your skills directory to identify which skills need backup and which already have version control
Compare current skill state with previous snapshots to track what changed
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/wshuyi/skill-snapshot-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a version control snapshot for the AI skill '[SKILL_NAME]' with the following details: [SKILL_DESCRIPTION]. Save the snapshot to the private GitHub repository '[REPO_NAME]' under the branch '[BRANCH_NAME]'. Include a changelog entry summarizing the changes made since the last version [PREVIOUS_VERSION].
```json
{
"snapshot_id": "v1.2.3-20241015",
"skill_name": "Customer Support Ticket Classifier",
"description": "AI skill that automatically classifies incoming support tickets into predefined categories (Billing, Technical, Feature Request, General Inquiry) with 94% accuracy. Uses a fine-tuned BERT model with 128M parameters.",
"repository": "acme-ai-skills",
"branch": "main",
"previous_version": "v1.2.2",
"changelog": {
"major_changes": [
"Added support for Spanish language classification (accuracy: 89%)",
"Implemented fallback mechanism when confidence score < 0.7",
"Updated training dataset to include 15K additional tickets from Q3 2024"
],
"minor_changes": [
"Optimized model inference speed by 18% through quantization",
"Added new category 'Account Management' for subscription-related tickets",
"Improved error handling for edge cases in ticket preprocessing"
],
"bug_fixes": [
"Fixed misclassification of high-priority tickets as 'General Inquiry'",
"Resolved memory leak in batch processing mode"
]
},
"files_modified": [
{"path": "models/ticket_classifier_v1.2.3.onnx", "size": "45.2MB", "hash": "a1b2c3d4..."},
{"path": "datasets/training_data_v2.csv", "size": "124MB", "hash": "e5f6g7h8..."},
{"path": "src/preprocessing.py", "size": "2.1KB", "hash": "i9j0k1l2..."}
],
"metadata": {
"author": "AI Ops Team",
"created_at": "2024-10-15T14:30:00Z",
"validation_status": "passed",
"performance_metrics": {
"accuracy": "94.1%",
"latency": "125ms",
"throughput": "450 tickets/minute"
}
}
}
```
The snapshot has been successfully saved to the private GitHub repository `acme-ai-skills` under the `main` branch. The version `v1.2.3` now includes significant improvements in multilingual support and model efficiency. The changelog provides clear documentation of all changes, making it easy to roll back if needed. The team can now reference this snapshot for audits, compliance, or rollback scenarios.AI assistant built for thoughtful, nuanced conversation
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