vault-okr
SkillAI & modelsLets your agent view, update, review, and create OKR cycles in your vault.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the vault-okr skill
About this capability
View, update, review, or create OKR cycles
What this skill tells your AI
The instructions your AI receives, as published by pass-agent/loomkin in .agents/skills/vault-okr/SKILL.md and read by ahel’s review.
Manage Objectives and Key Results. Parse arguments to determine subcommand:
view (default)
vault_list(tags: ["okr"]) — read all active OKR entries.
Present a formatted summary with objectives, key results, current values, targets,
and status indicators (On Track >= 70%, At Risk 40-70%, Off Track < 40%, Completed = 100%).
update
For each selected OKR and key result:
- Show current value and target
ask_userfor new value- Calculate status
vault_update_entrywith new frontmatter values- Add a weekly check-in section to the OKR entry content
review
Display current status (same as view), then for each OKR:
- Ask for key result updates
- Ask for blockers
- Ask for wins to note
- Update entries and check if milestones should change
new
Determine next cycle number from existing OKRs.
Ask for cycle dates, objectives, key results per scope.
vault_create_entry(entry_type: "okr", tags: ["okr"], ...) for each scope.
Update the OKR hub entry to list the new cycle.
retro
Display final status, prompt for retrospective content per OKR (what worked, what didn't, what to carry forward). Update OKR entries with retrospective section, mark as completed.
Signals
- GitHub stars
- 180
- Forks
- 28
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
vault-okr- Source
- github.com/pass-agent/loomkin