backup-skill
Skill209 starsChanged 3 months agoMITView on GitHub
Creates and manages backup snapshots
In this repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brainstormingSkill
- code-reviewSkill
- content-draftSkill
- cost-analyticsSkill
- daily-standupSkill
- devops-auditSkill
- goal-plannerSkill
- heartbeatSkill
- meeting-minutesSkill
- memory-consolidationSkill
- project-plannerSkill
- research-synthesisSkill
- systematic-debugSkill
- tdd-cycleSkill
- _templateSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Before making major changes
- Distinctive: line 20
Create tar.gz of brain/, skills/, agents/, registry/, standards/, prompts/
- Distinctive: line 24
Keep last 30 backups, remove older ones
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Backup Skill
Description
Creates compressed backup snapshots of brain/, skills/, registry/, standards/, and agents/. Supports scheduled auto-backup and manual on-demand backups.
When to Use
- Daily scheduled backup
- Before making major changes
- On-demand from dashboard
Process
- Create tar.gz of brain/, skills/, agents/, registry/, standards/, prompts/
- Exclude data/settings.json (contains API keys)
- Name file with timestamp: agentic-os-YYYYMMDD_HHMMSS.tar.gz
- Store in backups/ directory
- Keep last 30 backups, remove older ones
- Log to audit trail
Output
Compressed archive file
Agent Assignment
- Primary: opencode
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.