AgentSkillsCN

candidate-evaluation-report-generator

根据特定职位要求，分析候选人简历与面试官评价，计算匹配百分比，并为每位候选人生成标准化的Word评估报告，从而精准识别出最佳匹配人选。

SKILL.md
--- frontmatter
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.