Action Suggester OpenClaw Plugin & Skill | ClawHub
Looking to integrate Action Suggester into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate search & research tasks instantly, without having to write custom tools from scratch.
What this skill does
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.
Install
npx clawhub@latest install action-suggesterFull SKILL.md
Open original| name | description |
|---|---|
| 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. |
SKILL.md content below is scrollable.
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
- Accept input from Supervisor.
- Validate input with
references/action-input.schema.json. - Apply deterministic prioritization rules to propose follow-up items.
- Emit actions with:
action_typeincall,email, orvisitlead_iddescription
- Validate output with
references/action-output.schema.json. - 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
- Return an empty action list when evidence is insufficient.
- Reject inputs that fail schema validation.
- Surface deterministic rule conflicts in plain text diagnostics.