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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.

Datos de origen

Repositorio
modbender/skill-library-mcp
Última actividad en el origen
6 de marzo de 2026 a las 18:33
Idioma detectado de SKILL.md
inglés
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12
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3

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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
action-suggester
description
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.
# 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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