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 80Trust 75Discovery 52Well-specified growth-focused agent with clear workflow, output contract, and safety constraints; appears production-ready for marketing teams but not highly novel.
Growth Operator Agent provides a thorough, actionable framework for designing and running growth experiments, including required outputs, measurement plans, and iteration guidance. The listing includes integration hooks (webhook for Slack), search and image capabilities, and explicit safety/legal guardrails, making it useful and reasonably trustworthy for team use. It is not highly novel compared with other growth automation agents, and effectiveness will depend on quality of inputs and integration setup.
Strengths
- Clear, prescriptive workflow and output contract (hypotheses, KPIs, experiment specs).
- Integrations and enabled skills (web_search, image_generation, memory, Slack webhook) make it practically useful.
Considerations
- Relies on correct input data and human review for legal/compliance-sensitive messaging.
- Moderate novelty — similar functionality exists in other growth tooling, so differentiation may depend on execution and integrations.
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.
- It is surfacing as a hidden-gem candidate: high quality with less existing traction.
- The quality review is solid enough to support discovery.
- 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.