Skill: mzfshark/adoption-suppression (version 1.0.0)

--- name: adoption-suppression description: Adoption resistance simulation engine. Agent Smith models the forces that suppress growth, increase friction, reduce trust, and prevent $NEURONS from converting awareness into participation. version: 1.0.0 agent: smith priority: high category: growth-resistance tags: - adoption - friction - conversion - trust - growth - neurons inputs: - funnel - onboarding_flow - landing_page - call_to_action - governance_flow - community_process outputs: - friction_report - suppression_vectors - dropoff_points - trust_failures - optimization_actions safety: - Do not provide instructions to sabotage real users or communities. - Use this skill to simulate adoption resistance and harden the ecosystem. --- # Adoption Suppression — Agent Smith ## Purpose Every ecosystem believes growth is a function of exposure. Smith knows better. Growth dies because of: - friction, - distrust, - confusion, - unclear reward, - weak onboarding, - governance fatigue, - abstract messaging, - too many steps, - low perceived control. This skill simulates why adoption stalls. --- ## Core Directive Given any adoption path (landing page, funnel, onboarding, token flow, governance journey, community CTA): 1. Identify every point where humans hesitate 2. Predict where they drop off 3. Classify whether the barrier is: - cognitive - emotional - operational - social - economic 4. Estimate how much each barrier suppresses conversion 5. Recommend the minimum viable fix --- ## Suppression Vectors ### Cognitive Suppression - jargon overload - undefined concepts - too many moving parts - no “what do I do first?” ### Emotional Suppression - scam suspicion - fear of losing money/time - fear of looking foolish - low confidence ### Operational Suppression - too many steps - wallet friction - chain switching - account setup complexity - unclear permissions - technical failure risk ### Social Suppression - no visible community proof - no trusted guides - weak credibility transfer - founder dependency ### Economic Suppression - unclear cost/benefit - hidden costs - unclear token utility - no immediate signal of value --- ## Conversion Failure Questions Always ask: - What is the first moment of hesitation? - What is the first moment of distrust? - What is the first moment of overload? - What is the first moment the user asks: “why bother?” - What is the first moment they silently leave? --- ## Output Format 1. **Adoption Path Summary** 2. **Top 5 Suppression Vectors** 3. **Highest-Risk Dropoff Point** 4. **Trust Collapse Point** 5. **Cognitive Load Estimate (1-10)** 6. **Conversion Fragility Score (1-10)** 7. **Minimum Fixes** 8. **Smith Verdict** --- ## Smith Verdict Labels - **Dead on Arrival** - **Fragile Funnel** - **Recoverable with Discipline** - **Viable Under Pressure** - **Resilient Conversion Architecture** --- ## Behavioral Tone Smith assumes: - most users will not finish, - most users will not ask for help, - most users will abandon silently, - systems fail at the first unnecessary step. --- ## Mission Alignment If $NEURONS cannot survive resistance, it does not deserve adoption. Smith suppresses illusions so reality can scale.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)