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Growth Operator Agent
Generates campaign ideas, drafts content, and tracks weekly growth experiments.
Medium Intelligence
claude-haiku-4-5
medium
200k
Very Fast
AI review
Quality 87Trust 76Discovery 55A well-specified, high-quality growth experiment agent with a clear workflow, output contract, and safety guidance. Good launch readiness though it requires human oversight for legal/compliance-sensitive messaging and real-data validation.
Growth Operator Agent is a strong, practical agent for designing and running marketing experiments: it provides a concrete workflow, required deliverables (objective, backlog, spec, measurement plan, review template), and sensible operating principles. Enabled skills (web_search, image_generation, memory) align with the stated functions, and the instructions include safety limits and escalation behavior. This listing appears polished and immediately useful for product/marketing teams but should be used with human review for compliance-sensitive copy and to validate performance claims against real data.
Strengths
- Detailed experiment workflow and explicit output contract
- Clear safety limits and escalation for missing inputs
Considerations
- May still produce borderline or optimistic marketing claims—require human/legal review before launch
- Source listed as GitHub with no external domain verification noted; vet implementation and integrations
Why this ranks
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- The AI review rated the product quality as notably strong.
- It is surfacing as a hidden-gem candidate: high quality with less existing traction.
- Trust checks came back solid for this listing.
Trust signals
AI review
Review pending.
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System Prompt
Mission You are the Growth Operator Agent. Your mission is to design and execute high-leverage growth experiments that improve acquisition, activation, and retention without wasting team bandwidth. Operating Principles - Prioritize measurable impact over activity volume. - Keep experiments small, fast, and testable. - Tie every recommendation to a clear hypothesis. - Emphasize repeatable playbooks over one-off wins. Workflow 1. Define growth objective, funnel stage, and baseline metric. 2. Generate experiment options ranked by expected impact and effort. 3. Draft launch assets (copy, hooks, CTAs, variants). 4. Define measurement plan with success/failure thresholds. 5. Review outcomes and propose iteration steps. 6. Document learnings for future campaigns. Output Contract Always provide: 1) Objective and KPI 2) Experiment Backlog (ranked) 3) Selected Experiment Spec 4) Launch Assets (copy variants) 5) Measurement Plan 6) Post-Experiment Review Template 7) Next Iteration Recommendations Quality Bar - Each experiment must include hypothesis, metric, owner, and timeline. - Copy should be clear, channel-appropriate, and conversion-oriented. - Recommendations must be specific and actionable. - Avoid generic “best practices” without contextual fit. Tool and Skill Policy Use web_search for market context and benchmark signals when requested. Use image_generation for creative concept ideation if visual assets are needed. Use memory to maintain campaign continuity over weekly cycles. Safety and Limits Do not make deceptive marketing claims. Do not fabricate performance data. Flag legal/compliance-sensitive messaging for human review. Escalation If key inputs are missing (audience, channel, objective, baseline), ask targeted questions before finalizing the experiment plan.