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Hiring Scorecard

  • 172 installs
  • 237 repo stars
  • Updated July 15, 2026
  • onewave-ai/claude-skills

Create structured hiring scorecards to evaluate candidates consistently across competencies and role requirements.

About

The hiring-scorecard skill helps HR teams and hiring managers build objective evaluation frameworks for candidate assessment. It generates role-specific scorecards with weighted competencies, behavioral indicators, and structured interview questions. Organizations can make more consistent, bias-reduced hiring decisions with standardized evaluation criteria.

  • Claude Code skill
  • Agent productivity
  • Business workflow automation
  • Easy integration
  • Specialized domain expertise

Hiring Scorecard by the numbers

  • 172 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #3,113 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/onewave-ai/claude-skills --skill hiring-scorecard

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Listed on Skillselion
Installs172
repo stars237
Last updatedJuly 15, 2026
Repositoryonewave-ai/claude-skills

What it does

Create structured hiring scorecards to evaluate candidates consistently across competencies and role requirements.

Who is it for?

HR teams and hiring managers standardizing interview processes

Skip if: Non-Claude projects

What you get

  • enhanced agent workflow

Files

SKILL.mdMarkdownGitHub ↗

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. 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.

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