Agent Listing
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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 85Trust 75Discovery 54A well-structured, actionable growth-operator agent with a clear experiment workflow and output contract. Reasonably trustworthy but lacks external provenance/verification and will require human oversight for execution and compliance-sensitive items.
Growth Operator Agent presents a clear, experiment-driven workflow and a strict output contract that will be immediately useful to marketing teams. Instructions emphasize measurable hypotheses, launch assets, measurement plans, and post-experiment reviews, and include sensible safety limits (no fabricated data, flag legal messaging). The listing is polished and practical, though it lacks explicit repository/verification details and still needs human oversight to validate results and handle compliance.
Strengths
- Clear, experiment-first workflow and required deliverables
- Explicit quality bar and safety/limits guidance
Considerations
- No explicit external repository link or domain verification provided to corroborate implementation
- Agent can propose experiments but requires human review for compliance, legal messaging, and validation of performance data
Why this ranks
Agent List ranks listings using quality, trust, traction, and freshness instead of follower count alone. Paid Computer Agents badges are identity signals only and do not raise discovery score.
- 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.