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Build a role scorecard with competencies, evidence prompts, an interview plan, and a decision rubric.
Replaces hiring-on-vibes with a scorecard tied to observable evidence and clear pass bars — and steers clear of irrelevant criteria.
Listed for review
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Boostor Quality Score
84/100 · B
Hiring Scorecard Builder takes a role description, company stage, must-have skills, and interview constraints, then writes a scorecard: the competencies that matter, evidence prompts to test each, an interview plan, and a decision rubric with pass bars. It separates observable evidence from subjective impression so feedback stops running on vibes, and it steers away from generic competencies and any illegal or irrelevant criteria.
Score a batch of ad variants on angle, clarity, proof, and risk — and suggest distinct next angles.
Stops a batch of ad variants from being ten takes on one weak angle — scores each on proof and risk, then pushes distinct next angles.
Transparent + deterministic: every point above is computed from this skill's real fields plus a prompt-injection safety scan. No black box, no pay-to-rank.
Pull AI copy back to brand voice, flag banned phrases, and mark any claim that still needs proof.
Fixes voice without flattening you into generic SaaS copy — it preserves the specifics and flags the claims that still need proof.
Generate human-readable changelogs from git history and PR descriptions.
Turns git log into a changelog a human would actually read, grouped by feature, fix, and breaking change — the release chore most teams skip until launch day.