Hiring Scorecard Generator

SkillAI & models

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Hiring Scorecard Generator skill

What this skill tells your AI

The instructions your AI receives, as published by onewave-ai/claude-skills in hiring-scorecard/SKILL.md and read by ahel’s review.

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. Include the debrief agenda, decision framework, anti-bias checklist, scoring calculator, and panel/comparison templates. See Sections 8-9.
  10. Write the file. Output a single scorecard.md in the working directory (or a user-specified path), assembled from all nine sections and ready to hand to a panel without further editing.

For focus modes (technical, leadership, sales/GTM, creative, operations, culture-heavy), format adaptations, and legal/compliance reminders, see references/usage-and-customization.md.

Signals

GitHub stars
291
Forks
46
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
hiring-scorecard
Source
github.com/onewave-ai/claude-skills