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Agent-Economy Stack Mapper

エージェントがあなたのビジネスに触れる場所をマッピングします。

AIエージェントがあなたのビジネスと出会うすべての接点を棚卸しします。発見、購入、サポート、調達を対象に、エージェント対応度をスコア化し、信頼インフラ(自社構築/購入/待機)を適合させ、エージェントポリシーを公開します。

Agent-Economy Stack Mapper のプレビュー
こんな方におすすめ
オペレーター、ストラテジスト、プラットフォームチーム
所要時間
マッピングに約2時間
レベル
中級

3ステップでインストール

登録不要。CLIツールも不要です。お使いのAIを選んで、1行コピーして貼るだけです。

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ご自分で入れたい場合は、スキルを購入($4.99)し、購入完了画面からZIPをダウンロードして、上のディレクトリに展開し、AIのセッションを再起動してください。結果は同じです。すでに購入済みの場合は、AIアシスタントにダウンロードしてもらうこともできます。

パックの内容

SKILL.md(手順書)1点とスターターテンプレート1点が入っています。プレビューはこちらです:

Agent-Economy Stack Mapper

When to use

  • Customers' agents are already interacting with your business (or will be next quarter) and you have no map of where.
  • You're deciding where to invest in agent-readiness: identity, payments, APIs, support.
  • Leadership asks "what's our agent strategy" and you want an answer grounded in your actual touchpoints.
  • You're a vendor selling into the agent economy and need to speak your buyer's language.

Workflow

  1. List the touchpoints (input: your business → output: touchpoint inventory)
    Walk the customer journey and mark everywhere an agent could act: discovery (agents comparing your product), purchase (agents buying), support (agents filing tickets), procurement (agents negotiating renewals), identity (agents proving humanity), and post-purchase (agents managing subscriptions, returns). Include the touchpoints you don't control — review sites, marketplaces, social — where agents already summarize you.
  2. Classify each touchpoint (input: inventory → output: classified map)
    Tag each: who sends the agent (your customer? a third party? you?), what it can do there today (read-only? transact? modify?), and what's at stake (money, data, reputation, legal). The high-stakes transacting touchpoints are your investment priority; the read-only ones are your monitoring priority.
  3. Score agent-readiness (input: classified map → output: readiness scores)
    Per touchpoint, score 1–5 on: machine-readable (can an agent parse your offering without a human?), identity-aware (can you tell a verified-human-backed agent from a bot?), transactable (can an agent complete the action with proper authorization?), and observable (do you log agent interactions separately from human ones?). Anything scoring under 3 on identity-aware is where fraud will arrive first.
  4. Match trust infrastructure (input: scores → output: infrastructure plan)
    For each priority touchpoint, name the infrastructure: delegated identity proofs (so agents prove a human principal), scoped payment credentials (so agents spend within bounds), structured APIs or agent protocols (so agents don't screen-scrape), and audit trails (so every agent action is attributable). Mark build vs buy vs wait per item — not everything needs building this quarter.
  5. Write the agent policy (input: plan → output: one-page policy)
    Your public stance, in plain language: which agents you welcome, what they may do, how they identify themselves, what happens to unverified bots (rate-limited? blocked? served read-only?), and where to get credentials. Publish it — the agent economy rewards the businesses agents can understand.
  6. Set the review cadence (input: everything → output: quarterly review)
    Agent capabilities move quarterly; your map must too. Each quarter: re-score readiness, check the fraud signals (bot traffic share, disputed agent orders, support tickets filed by agents), and move one touchpoint up the maturity ladder. The map is a living doc, not a deck.

テンプレートのプレビュー

Agent-Economy Stack Worksheet

Map where agents touch your business — then decide what each touchpoint needs.

1. Touchpoint inventory

2. Classify

Investment priority = high-stakes + transacting. Monitoring priority = read-only.

3. Readiness scores (1–5)

Under 3 on identity-aware = where fraud arrives first.

4. Infrastructure plan

5. One-page agent policy (publish it)

  • Which agents you welcome:
  • What they may do:
  • How they identify themselves:
  • Unverified bots get (rate-limited / blocked / read-only):
  • Where to get credentials:

6. Quarterly review

  • Re-score readiness: date
  • Fraud signals (bot traffic share, disputed agent orders, agent-filed tickets):

スキルパック本体(SKILL.md とテンプレート)は英語で書かれています。

Pro — 全511件のスキル

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