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Growth loop design

Skill duandigi/duandigi-growth-marketing-skill/skills/growth-loop-design

Use this skill when designing, auditing, or improving a compounding growth loop such as referral, review, content, SEO, product, community, partnership, user-generated content, or tool-led growth.From its SKILL.md

Install
npx -y skills add duandigi/duandigi-growth-marketing-skill --skill growth-loop-design

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SKILL.md

2.7 KB, 451 tokens by cl100k_base, as published. Nobody here has run it

Growth Loop Design

Purpose

Design a repeatable loop where outputs create new inputs and value increases with each cycle.

Inputs

  • Customer value moment
  • Existing user or customer behaviors
  • Shareable assets, incentives, or distribution surfaces
  • Loop friction, time delay, and quality constraints

If critical input is unavailable, label it unknown and create a research or instrumentation task. Do not invent values.

Workflow

  1. Define the loop's entrant, trigger, action, value exchange, output, and reinvestment path.
  2. Explain why a participant would complete each step without coercion.
  3. Identify the loop coefficient, cycle time, quality filter, saturation point, and failure modes.
  4. Separate a true loop from a one-way funnel or recurring campaign.
  5. Design instrumentation for each step and one leading indicator of loop health.
  6. Start with a manual or narrow prototype before automating.
  7. Include abuse, privacy, brand, and platform-policy controls.

Required output

Return a concise, decision-oriented response containing:

  • Loop diagram in text
  • Participant value exchange
  • Loop equation or health metrics
  • Friction map
  • Prototype
  • Risks and controls

Label important statements as confirmed, inferred, assumed, or unknown when the distinction affects the decision.

Guardrails

Do not:

  • Calling a channel a loop without reinvestment

  • Incentives that encourage low-quality or fraudulent behavior

  • Assuming virality

  • Claim guaranteed growth or present an estimate as observed fact.

  • Recommend spam, fake reviews, impersonation, deceptive urgency, dark patterns, policy evasion, or unauthorized production changes.

  • Hide material uncertainty, tracking limitations, or possible harm.

When an action can spend money, publish content, contact people, change production systems, delete data, or alter access, produce a plan and request explicit authorization rather than executing automatically.

Completion check

Before finishing, verify that the output:

  • answers a specific growth decision;
  • uses the supplied business context;
  • separates evidence from assumptions;
  • defines a measurable next step;
  • includes risks, constraints, and missing data;
  • is no longer than necessary for the decision.

What ships with it: 1 file

1.3 KB alongside SKILL.md

evals/

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