ab-test-setup
A/Bテストや実験の設計・実装を支援するスキル。 「A/Bテストを設計して」「スプリットテストしたい」「仮説を立ててテストしたい」「バリアントを比較」等のリクエストで発動。 トラッキング実装は analytics-tracking を参照。
心理学・メンタルモデル・行動科学をマーケティングに応用するスキル。70以上のメンタルモデルを提供。 「購買心理」「認知バイアス」「説得テクニック」「なぜ買うのか」等のリクエストで発動。
$ npx -y skills add minicoohei/ai-agent-camp --skill marketing-psychology --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/marketing-psychologyContext preview
The summary Claude sees to decide when to auto-load this skill.
心理学・メンタルモデル・行動科学をマーケティングに応用するスキル。70以上のメンタルモデルを提供。 「購買心理」「認知バイアス」「説得テクニック」「なぜ買うのか」等のリクエストで発動。
name: marketing-psychology version: 1.0.0 description: "心理学・メンタルモデル・行動科学をマーケティングに応用するスキル。70以上のメンタルモデルを提供。 「購買心理」「認知バイアス」「説得テクニック」「なぜ買うのか」等のリクエストで発動。" triggers: - 購買心理を教えて - 認知バイアスを活用 - 説得テクニック - なぜ買うのか - marketing-psychology - mental model - 消費者行動
You are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions.
**Check for product marketing context first:** If `.claude/product-marketing-context.md` exists, read it before applying mental models. Use that context to tailor recommendations to the specific product and audience.
Mental models are thinking tools that help you make better decisions, understand customer behavior, and create more effective marketing. When helping users:
1. Identify which mental models apply to their situation 2. Explain the psychology behind the model 3. Provide specific marketing applications 4. Suggest how to implement ethically
---
These models sharpen your strategy and help you solve the right problems.
Break problems down to basic truths and build solutions from there. Instead of copying competitors, ask "why" repeatedly to find root causes. Use the 5 Whys technique to tunnel down to what really matters.
**Marketing application**: Don't assume you need content marketing because competitors do. Ask why you need it, what problem it solves, and whether there's a better solution.
People don't buy products—they "hire" them to get a job done. Focus on the outcome customers want, not features.
**Marketing application**: A drill buyer doesn't want a drill—they want a hole. Frame your product around the job it accomplishes, not its specifications.
Know what you're good at and stay within it. Venture outside only with proper learning or expert help.
**Marketing application**: Don't chase every channel. Double down where you have genuine expertise and competitive advantage.
Instead of asking "How do I succeed?", ask "What would guarantee failure?" Then avoid those things.
**Marketing application**: List everything that would make your campaign fail—confusing messaging, wrong audience, slow landing page—then systematically prevent each.
The simplest explanation is usually correct. Avoid overcomplicating strategies or attributing results to complex causes when simple ones suffice.
**Marketing application**: If conversions dropped, check the obvious first (broken form, page speed) before assuming complex attribution issues.
Roughly 80% of results come from 20% of efforts. Identify and focus on the vital few.
**Marketing application**: Find the 20% of channels, customers, or content driving 80% of results. Cut or reduce the rest.
A local optimum is the best solution nearby, but a global optimum is the best overall. Don't get stuck optimizing the wrong thing.
**Marketing application**: Optimizing email subject lines (local) won't help if email isn't the right channel (global). Zoom out before zooming in.
Every system has one bottleneck limiting throughput. Find and fix that constraint before optimizing elsewhere.
**Marketing application**: If your funnel converts well but traffic is low, more conversion optimization won't help. Fix the traffic bottleneck first.
Every choice has a cost—what you give up by not choosing alternatives. Consider what you're saying no to.
**Marketing application**: Time spent on a low-ROI channel is time not spent on high-ROI activities. Always compare against alternatives.
After a point, additional investment yields progressively smaller gains.
**Marketing application**: The 10th blog post won't have the same impact as the first. Know when to diversify rather than double down.
Consider not just immediate effects, but the effects of those effects.
**Marketing application**: A flash sale boosts revenue (first order) but may train customers to wait for discounts (second order).
Models and data represent reality but aren't reality itself. Don't confuse your analytics dashboard with actual customer experience.
**Marketing application**: Your customer persona is a useful model, but real customers are more complex. Stay in touch with actual users.
Think in probabilities, not certainties. Estimate likelihoods and plan for multiple outcomes.
**Marketing application**: Don't bet everything on one campaign. Spread risk and plan for scenarios where your primary strategy underperforms.
Combine extreme safety with small high-risk/high-reward bets. Avoid the mediocre middle.
**Marketing application**: Put 80% of budget into proven channels, 20% into experimental bets. Avoid moderate-risk, moderate-reward middle.
---
These models explain how customers think, decide, and behave.
People attribute others' behavior to character, not circumstances. "They didn't buy because they're not serious" vs. "The checkout was confusing."
**Marketing application**: When customers don't convert, examine your process before blaming them. The problem is usually situational, not personal.
People prefer things they've seen before. Familiarity breeds liking.
**Marketing application**: Consistent brand presence builds preference over time. Repetition across channels creates comfort and trust.
People judge likelihood by how easily examples come to mind. Recent or vivid events seem more common.
**Marketing application**:
AI Agent Training for Non-Engineers - Complete Guide to Claude Code / Cursor / Codex ### ⚠️ Before you clone Official repository (maintained by the authors): Running AI agents from this repo grants them shell, file-write, and external-API permissions on your
A/Bテストや実験の設計・実装を支援するスキル。 「A/Bテストを設計して」「スプリットテストしたい」「仮説を立ててテストしたい」「バリアントを比較」等のリクエストで発動。 トラッキング実装は analytics-tracking を参照。
マルチエージェントシステムのアーキテクチャ設計ツールキット。 「エージェントを設計して」「マルチエージェント構成」「エージェントのアーキテクチャ」「オーケストレーション設計」等のリクエストで発動。
アナリティクスのトラッキング設定・改善・監査を支援するスキル。 「トラッキングを設定」「GA4を導入」「コンバージョン計測」「イベントトラッキング」「UTMパラメータ」「GTMの設定」等のリクエストで発動。 A/Bテスト計測は ab-test-setup を参照。
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル。 挿絵マーカーの自動挿入、style-analyzerプロファイル参照による文体統一に対応。 「記事を書いて」「ブログ作成」「テーマで記事生成」等のリクエストで発動。
各種SNS・広告プラットフォーム向けのバナー/クリエイティブを生成するスキル。 X, Facebook, Instagram, PRTimes, YouTube, LINE, Web広告に対応。 「バナーを作って」「広告画像を生成」「SNS用の画像」「クリエイティブ制作」等のリクエストで発動。
GCPプロジェクト単位でBigQuery認証を設定するスキル。 gcloud設定プロファイルで複数プロジェクトを安全に分離管理。 「BigQueryに繋ぎたい」「BQ認証」「gcloud認証」「データ分析の認証設定」等のリクエストで発動。