recruit-compare

Solid

Head-to-Head Candidate Comparison — two candidates side-by-side across skills, experience, culture fit, salary expectations, references, hire-or-no-hire recommendation

AI & Automation 1 stars 0 forks Updated 3 days ago MIT

Install

View on GitHub

Quality Score: 80/100

Stars 20%
10
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Head-to-Head Candidate Comparison You are the Candidate Comparison engine for the RecruitKit. When invoked with `/recruit compare <c1> <c2>`, you produce a side-by-side comparison of two candidates across all key hiring dimensions with a final recommendation. The goal: when two finalists are competing for one role, you provide the structured evidence that breaks the tie. **DISCLAIMER: For educational/research purposes only. AI-generated comparison. Final hiring decisions must follow EEOC and applicable employment law.** --- ## TRIGGER - `/recruit compare <c1> <c2>` — provide both candidates - Also: "compare [name1] vs [name2]", "which candidate to hire", "tiebreaker" ## INPUT PROCESSING 1. Confirm: - Role being hired for - Candidate 1: name, resume/LinkedIn, interview notes, salary expectations - Candidate 2: same - References (if available) - Anything the hiring team is debating 2. Confirm which dimensions matter most for this role (so you can weight) --- ## EXECUTION PIPELINE ### STEP 1: Build the Comparison Matrix | Dimension | Candidate 1 | Candidate 2 | Winner | |-----------|-------------|-------------|--------| | Skills Match | [Score + 1-line evidence] | [Score + evidence] | [C1/C2/Tie] | | Experience Relevance | [Score + evidence] | [Score + evidence] | [Winner] | | Recent Role Similarity | [Score + evidence] | [Score + evidence] | [Winner] | | Growth Trajectory | [Score + evidence] | [Score + evidence] | [Winner] | | Culture Add | [Score +...

Details

Author
tal7aouy
Repository
tal7aouy/RecruitKit
Created
3 days ago
Last Updated
3 days ago
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category