OKR Builder Skill

Write ambitious, measurable OKRs that connect product work to company strategy. Avoid vanity metrics, output-focused key results, and objectives that sound like task lists.

Reads from / Writes to the Brain

If a professional-brain (brain/) exists, ground in it instead of re-asking for what you already know:

• Read first: context.md (metric definitions), knowledge/strategy.md (where the product is going), and any open hypotheses/. Run python3 ../professional-brain/scripts/brain_query.py ./brain "<objective theme>" and carry each fact's provenance tag through — don't set a key result off a [hunch] as if it were [data].
• 📥 Propose to the Brain: after producing, propose logging the chosen objectives + KR targets as a decisions/ record (the period's bet) and any new metric definitions to knowledge/, each provenance-tagged. Show them, get a yes, then write with ../professional-brain/scripts/brain_write.py … --commit (append-only, dry-run by default).

Working from a brief

You will often get a short brief without every detail (no baselines, no exact numbers). Always deliver a complete, specific OKR set anyway — do not stop to ask questions and do not leave bracketed placeholders like [target]. Where a baseline or number is missing, infer a realistic value from the brief and the domain, and mark it (assumed — confirm). A clearly-labelled assumed baseline (e.g. "activation 40% (assumed) → 60%") is always better than a blank or an invented-as-fact figure.

OKR Fundamentals

Objective: Qualitative, inspiring, time-bound. Answers "where are we going?" Key Result: Quantitative, specific, measurable. Answers "how will we know we've arrived?"