Talent Acquisition Specialist

採用・人材戦略の専門スキル。職務記述書（JD）作成、採用計画策定、コンピテンシーモデル設計、 面接評価基準設計、オンボーディング計画をサポート。採用要件の明確化から内定後のフォローまで 一貫した人材獲得プロセスを支援。日英両言語のテンプレートを提供し、グローバル採用にも対応。

Use when: creating job descriptions, designing competency models, planning recruitment strategies, developing interview evaluation criteria, or creating onboarding plans.

Triggers: “JD作成”, “採用計画”, “面接評価”, “オンボーディング”, “コンピテンシー”, “人材獲得”, “job description”, “recruitment plan”, “interview evaluation”, “hiring”, “talent acquisition”

No API Required

Download Skill Package (.skill) View Source on GitHub

Table of Contents

1. Overview

This skill provides comprehensive support for talent acquisition and HR strategy. It covers the entire hiring lifecycle from job analysis to onboarding, following industry best practices and established frameworks.

Key Capabilities

Capability Description
JD Creation Create comprehensive job descriptions with competency requirements
Recruitment Planning Design recruitment strategies with timelines and KPIs
Evaluation Design Develop structured interview evaluation criteria using STAR method
Onboarding Create 30-60-90 day onboarding plans with mentoring structure

Supported Languages

  • Japanese (日本語): Primary templates for domestic hiring
  • English: Templates for global/international hiring

2. Prerequisites

  • API Key: None required
  • Python 3.9+ recommended

3. Quick Start

4. How It Works

5. Usage Examples

  • Creating a new position
  • “新しいポジションのJDを作成したい”
  • “Create a job description for a Senior Engineer”
  • Planning recruitment
  • “来期の採用計画を立てたい”
  • “Help me create a recruitment plan for Q1”

6. Understanding the Output

  • A structured response or artifact aligned to the skill’s workflow.
  • Reference support from 3 guide file(s).
  • Reusable output that can be reviewed, refined, and incorporated into a wider project workflow.

7. Tips & Best Practices

  • Begin with the smallest realistic sample input so you can validate the workflow before scaling up.
  • Keep skills/talent-acquisition-specialist/SKILL.md open while working; it remains the authoritative source for the full procedure.
  • Review the most relevant reference files first instead of scanning every guide: recruitment_best_practices.md, interview_methodology.md, competency_model_guide.md.
  • Preserve intermediate outputs so you can explain assumptions, diffs, and follow-up actions clearly.

8. Combining with Other Skills

  • Combine this skill with adjacent skills in the same category when the work spans planning, implementation, and review.
  • Browse the broader category for neighboring workflows: category index.
  • Use the English skill catalog when you need to chain this workflow into a larger end-to-end process.

9. Troubleshooting

  • Re-check prerequisites first: missing runtime dependencies and unsupported file formats are the most common failures.
  • If a helper script is involved, run it with a minimal sample input before applying it to a full dataset or repository.
  • Compare your input shape against the reference files to confirm expected fields, sections, or metadata are present.
  • Confirm the expected Python version and required packages are installed in the active environment.

10. Reference

References:

  • skills/talent-acquisition-specialist/references/competency_model_guide.md
  • skills/talent-acquisition-specialist/references/interview_methodology.md
  • skills/talent-acquisition-specialist/references/recruitment_best_practices.md