Agent skill · writing content · onewave-ai
hiring-scorecard
Creates structured hiring scorecards for any role. Takes job title, requirements, and team context. Generates comprehensive scorecard with weighted scoring rubric, interview questions per competency, evaluation matrix, red/green flags, and reference check questions.
Why this skill is useful
Generates a comprehensive, structured hiring scorecard with specific competencies and evaluation criteria that the AI wouldn't reliably create on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Hiring Scorecard Generator Build a structured, bias-reducing hiring scorecard that lets an interview panel make consistent, evidence-based decisions for any role. Contents references/output-template.md -- the full 9-section scorecard.md structure with every block, table, and per-section guideline. references/competency-library.md -- which competencies to score by role type (technical IC, non-technical IC, manager, executive). references/usage-and-customization.md -- how to use the output, focus modes, biases prevented, format adaptations, and legal/compliance reminders. Inputs Job Title and Requirements are required; ask before generating if either is missing. The rest sharpen the output: Team Context, Level/Seniority, Role Type, Industry, Interview Panel, Compensation Band, Urgency/Timeline. Workflow 1. Gather role context. Confirm job title, level, team structure, reporting line, and business need. Ask for missing required inputs. 2. Define criteria. Separate must-have from nice-to-have qualifications, each specific and observable with a verification method. See references/output-template.md Section 2. 3. Select competencies. Choose 6-10 competencies for the role using references/competency-library.md. 4. Build the scoring rubric. Anchor each competency to the 1-5 behavioral scale. See references/output-template.md Section 3. 5. Generate interview questions. Write 3-4 behavioral/situational questions per competency with follow-up probes and "what good/bad looks like". See references/output-template.md Section 4. 6. Create the evaluation matrix. Produce the independent interviewer scoresheet. See Section 5. 7. Identify flags. List 8-12 concrete red flags and 8-12 green flags tied to observable behavior. See Section 6. 8. Draft reference checks. Produce targeted reference questions that surface real signal. See Section 7. 9. Add debrief guide and appendix. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/hiring-scorecard