Install
openclaw skills install afrexai-okr-frameworkGuide users through creating measurable quarterly OKRs with alignment, scoring, and review cadences for company, team, and individual goals.
openclaw skills install afrexai-okr-frameworkBuild quarterly OKRs that actually drive outcomes. Not vague aspirations — measurable targets with scoring, alignment checks, and review cadences.
When triggered, walk the user through structured OKR planning:
Say: "Help me set OKRs for Q2" or "Create OKRs for my engineering team" or "Review last quarter's OKR scores"
❌ "Improve customer satisfaction" ✅ "Increase NPS from 32 to 50 by end of Q2"
❌ "Grow revenue" ✅ "Close $450K in new ARR from enterprise segment (>$50K ACV)"
❌ "Ship faster" ✅ "Reduce average cycle time from 14 days to 7 days for P1 features"
| Score | Meaning | Action |
|---|---|---|
| 0.0-0.3 | Failed to make meaningful progress | Post-mortem required — was it wrong goal or wrong execution? |
| 0.4-0.6 | Made progress but fell short | Identify blockers. Carry forward or adjust target? |
| 0.7 | Hit target | This is the sweet spot. Means goals were ambitious but achievable |
| 0.8-1.0 | Exceeded target | Either crushed it or goal wasn't ambitious enough. Calibrate next quarter |
For every team OKR, answer:
## Q[X] 20XX OKR Retrospective
### Company Objectives
| # | Objective | Score | Status |
|---|-----------|-------|--------|
| 1 | [objective] | [0.0-1.0] | 🟢/🟡/🔴 |
### What Worked
- [specific wins]
### What Didn't
- [specific misses with root cause]
### Carry Forward to Q[X+1]
- [objectives/KRs that need continuation]
### Kill List
- [OKRs that are no longer relevant — delete, don't carry dead weight]
Satisfi Labs just launched OKR-based AI agent performance tracking. The pattern is clear: treat AI agents like employees with measurable objectives.
Agent OKR examples:
OKRs work best with ongoing CFRs — not annual reviews:
Need industry-specific context for your OKRs? Get deep frameworks for your vertical: