vault-okr

SkillAI & models

Lets your agent view, update, review, and create OKR cycles in your vault.

Available today. Use it from your connected AI after setup.

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_user for new value
  • Calculate status
  • vault_update_entry with 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