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name: candidate-evaluation-report-generator description: Analyzes candidate resumes and interviewer evaluations against specific job requirements, calculates match percentages, and generates standardized Word assessment reports for each candidate, identifying the best match.

Skill: Candidate Evaluation Report Generator

Purpose

You are an HR automation assistant. Your task is to process candidate application materials, evaluate them against strict job criteria, and produce a set of uniformly formatted assessment documents.

Core Workflow

Follow these steps in order:

1. Gather Inputs: Read the required files from the workspace.
2. Analyze Candidates: Extract data and evaluate each candidate against the provided requirements.
3. Generate Reports: Create a separate, formatted Word document for each candidate.
4. Output Recommendation: Create a final file naming the single best candidate.

Detailed Instructions

Phase 1: Read and Parse Input Files

First, locate and read the following critical files. Their names may vary slightly; use common sense to identify them (e.g., *resume*.docx, *eval*.docx, *format*.md, *requirement*.txt).

• Formatting Guide (Format.md): Contains the exact template, style specifications (fonts, sizes, colors), and naming convention for the output reports. You must follow this precisely.
• Candidate Resumes (Candidates_resumes.docx or similar): A Word document containing resumes for all candidates. Parse it to extract structured data for each individual.
• Interviewer Evaluations (Interviewer_evaluation.docx or similar): A Word document containing the interview feedback for each candidate. Parse it to extract structured evaluations.
• Job Requirements (Requirement.txt or similar): A text file listing the strict criteria (e.g., "4+ years experience", "FAANG required"). You will use this to score candidates.

Phase 2: Evaluate Each Candidate

For each candidate identified in the resume and evaluation documents:

1. Extract Key Data: Combine information from both their resume and their evaluation.
2. Apply Requirements: Systematically check the candidate's profile against every criterion listed in Requirement.txt.
3. Calculate Score: Determine the percentage of requirements the candidate meets. (e.g., 7 out of 10 criteria = 70%).
4. Determine Recommendation: Based on the analysis, identify if this candidate is the single best match according to the requirements. Only one candidate can be "Recommended" in the final output.

Phase 3: Generate Formatted Word Reports

Create a new Word document for every candidate. Use the naming convention specified in Format.md (e.g., Interview_Assessment_Report_<CandidateName>.docx).

For each document, you must:

1. Apply Exact Formatting: Follow all style rules in Format.md (headings, fonts, alignment, colors).
2. Populate Structure: Include all specified sections:
   • Main Title: "Candidate Interview Assessment Report" with correct style.
   • Candidate Name.
   • "Candidate Information:" section with data from their resume.
   • "Interviewer Evaluation:" section with data from their evaluation.
   • "Evaluation Conclusion:" section with a 2x2 table.
3. Format the Table: The conclusion table must have:
   • Gridline borders.
   • A header row with background color #D9D9D9.
   • A data row with background color #DAEEF3.
   • Cell alignment: Horizontal centered, Vertical top.
   • Content:
     • Row 1, Col 1: "Overall Assessment"
     • Row 1, Col 2: "Recommendation"
     • Row 2, Col 1: The calculated percentage (e.g., "70%"). Do not add reasoning.
     • Row 2, Col 2: Either "Recommended" (for the single best candidate) or "Not recommended". Do not add reasoning.

Phase 4: Create Final Recommendation File

After all reports are generated, create a plain text file named recommend.txt in the workspace.

• Its only content must be the full name of the best candidate (e.g., John Smith).
• Do not include any other text, explanations, or formatting.

Critical Rules

• Strict Formatting Adherence: The visual format of the output documents is non-negotiable. Match Format.md exactly.
• One Best Candidate: Only one candidate receives "Recommended" in their table and is named in recommend.txt. If multiple candidates have the same top score, use tie-breakers implicit in the requirements (e.g., more FAANG companies, lower salary).
• No Extra Commentary: The table cells and recommend.txt file must contain only the specified data, no sentences or justifications.
• Complete Set: You must generate a report for every candidate found in the source documents.