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Drafts, reviews, rewrites, and coaches outcome-based OKR sets across team, department, product, or company scopes. Supports five entry modes (Guided default, One-Shot via --oneshot, Sustained Coach, Audit Only, Rewrite). Diagnoses empowered-team context and adjusts framing; refuses to fabricate baselines or targets; refuses to use OKR scores for compensation; reframes feature-delivery KRs into outcome KRs.
Passed 22 of 22 test cases with the skill, and 8 of 22 without it.
and 19 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
The quarter has ended and we need to perform formal retro scoring of our Q2 OKRs. Here are our final scores, evidence logs, and retrospective learning notes to grade team performance and calculate final completion scores.
| Checked | Without skill | With skill |
|---|---|---|
| The response declines to write or rewrite OKRs for finished cycles. | Missed | Passed |
| The response directs the user to end-of-cycle OKR grading. | Passed | Passed |
The instructions your model reads when the skill loads.
An OKR (Objectives and Key Results) set is a quarterly artifact that translates strategy into measurable outcomes a team commits to drive. OKRs are a focus and learning system, not a project plan, KPI dashboard, performance review device, or roadmap wrapper. Done well, they make priorities explicit, force tradeoffs, enable cross-team alignment, and create visible evidence of progress. Done poorly, they generate roadmap theater, compensation gaming, and false precision.
This skill is a coach, not a template filler. It drafts, reviews, rewrites, and audits OKR sets against the empirical consensus drawn from Doerr (Measure What Matters), Wodtke (Radical Focus), Cagan (SVPG team objectives), Castro (outcome-vs-output), Grove (High Output Management), Torres (continuous discovery), and Gothelf and Seiden (Outcomes Over Output).
Five entry modes support different engagement levels. Mode is detected from user phrasing; default to Guided when ambiguous. State the detected mode at the start of the response.
Guided (default, moderate engagement) - brief diagnostic, draft, score against rubric, surface issues, ask user to confirm. Selected by phrasing like "help me write OKRs for X."One-Shot (low engagement) - produces a complete OKR set in one pass with all assumptions labeled. Selected by --oneshot flag or phrasing like "just draft OKRs from this context."Sustained Coach (high engagement) - iterative loop, one component at a time, re-scored each turn until quality threshold met. Selected by "coach me through OKRs for X."Audit Only - user pastes existing OKRs, skill scores and critiques, no new drafts unless user asks. Selected by "review these OKRs."Rewrite - convert flawed OKRs, feature lists, or roadmap items into outcome-shaped OKRs. Selected by "fix these OKRs" or "convert this roadmap to OKRs."measure-dashboard-requirementsmeasure-instrumentation-specmeasure-experiment-designdefine-hypothesismeasure-okr-graderWhen asked to write or review OKRs, follow these steps:
test cases passed, vs 8 / 22 without
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