Competitive Intelligence Analyst

競合分析・市場調査の専門スキル。競合企業のプロファイリング、Win/Loss分析、営業用バトルカード作成、市場ポジショニング分析、価格比較、技術比較マトリクス作成を支援。「競合分析」「バトルカード作成」「Win/Loss分析」「競合比較」「価格比較」「技術比較」などのリクエスト時に使用。

No API Required

Download Skill Package (.skill) View Source on GitHub

Table of Contents

1. Overview

Competitive Intelligence Analyst

2. Prerequisites

  • API Key: None required
  • Python 3.9+ recommended

3. Quick Start

Invoke this skill by describing your analysis needs to Claude.

4. How It Works

Follow the skill’s SKILL.md workflow step by step, starting from a small validated input.

5. Usage Examples

  • Use Competitive Intelligence Analyst when you need a structured workflow rather than an ad-hoc answer.
  • Start with a small representative input before applying the workflow to production data or assets.
  • Review the helper scripts and reference guides to tailor the output format to your project.

6. Understanding the Output

  • A structured response or artifact aligned to the skill’s workflow.
  • Reference support from 5 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/competitive-intelligence-analyst/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: pricing_analysis_guide.md, win_loss_methodology.md, battlecard_best_practices.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/competitive-intelligence-analyst/references/battlecard_best_practices.md
  • skills/competitive-intelligence-analyst/references/competitive_analysis_frameworks.md
  • skills/competitive-intelligence-analyst/references/intelligence_sources.md
  • skills/competitive-intelligence-analyst/references/pricing_analysis_guide.md
  • skills/competitive-intelligence-analyst/references/win_loss_methodology.md