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action-suggester

Generate non-binding follow-up action suggestions from lead summaries or lead lists. Use when users ask for next best actions, call list for hot leads, or follow-up draft plan without automatic execution. Recommended chain: summary-generator then action-suggester then supervisor approval. Do not use for parsing, storage, or autonomous action execution.

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查看安装方法

包含的文件(4)

  • SKILL.md1.6 KB
  • agents/openai.yaml234 B
  • references/action-input.schema.json3.5 KB
  • references/action-output.schema.json633 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Action Suggester

Produce ranked follow-up suggestions without taking any external action.

Quick Triggers

  • Suggest next actions for today's P1 leads.
  • Build a call/email/visit plan from summary.
  • Draft follow-up queue for unresolved high-priority leads.

Recommended Chain

summary-generator -> action-suggester -> supervisor confirmation

Execute Workflow

  1. Accept input from Supervisor.
  2. Validate input with references/action-input.schema.json.
  3. Apply deterministic prioritization rules to propose follow-up items.
  4. Emit actions with:
    • action_type in call, email, or visit
    • lead_id
    • description
  5. Validate output with references/action-output.schema.json.
  6. Return suggestions for human or Supervisor review only.

Enforce Boundaries

  • Never execute suggested actions.
  • Never send messages, emails, or calendar invites.
  • Never write to database or stateful systems.
  • Never parse raw chat exports.
  • Never approve its own output for execution.

Handle Errors

  1. Return an empty action list when evidence is insufficient.
  2. Reject inputs that fail schema validation.
  3. Surface deterministic rule conflicts in plain text diagnostics.

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