growth-loops

growth-loops is a skill for Claude Code from AIDevGTM/gtm-cofounder. It costs 80 tokens per session (1,921 once invoked), scanned A, original, MIT.

A method for turning early user growth into repeating cycles, where product usage helps bring in the next users. It focuses on growth that continues after the founder stops manually contacting people or posting.

In plain words
What is it for?
Use it to design acquisition loops based on things users create, share, discover, or invite others to through ordinary product use.
Why use it?
It addresses growth that depends entirely on direct messages, personal favors, or one-time launches. The goal is for normal user activity to create useful invitations, artifacts, or public traces for others to discover.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gtm-cofounder plugin — 19 skills shipped together

Good fit Use it to design acquisition loops based on things users create, share, discover, or invite others to through ordinary product use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aidevgtm/gtm-cofounder/18-growth-loops
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AIDevGTM/gtm-cofounder --skill 18-growth-loops
Clone the repo
git clone --depth 1 https://github.com/AIDevGTM/gtm-cofounder

Made for: Claude Code.

Or install gtm-cofounder, the plugin that ships this one along with the rest of its 19 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for growth-loops

README.md
[![agentmods](https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/18-growth-loops/github.svg)](https://agentmods.dev/skills/aidevgtm/gtm-cofounder/18-growth-loops)
Your own site
<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/18-growth-loops"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/18-growth-loops/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for growth-loops

Your own site · 80×15
<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/18-growth-loops"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/18-growth-loops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,921 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.01921
Opus 5 $0.00040 $0.00960
Sonnet 5 $0.00016 $0.00384
Haiku 4.5 $0.00008 $0.00192

Measured 12d ago against content hash 7da036044ca5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

growth-loops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/18-growth-loops/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Growth loops (the next 5,000 without you)

You got your first 50 users by hand: DMs, favors, one good launch. That was the right way to get them, and it was never supposed to scale. A growth loop is what comes next: one user's ordinary use of the product exposes it to the next user, and that user repeats it. Not a one-time referral; a continuous cycle.

Use this when: growth flatlines every time you stop posting, you can trace every user to a founder DM or a launch day, or you're about to add a third channel when the users you already have produce zero new ones.

The core idea

A channel is linear: effort in, users out, stop pushing and it stops. A loop feeds output back into input: usage creates an artifact, a public trace, or an invitation that a new developer finds, and that developer's usage restarts the cycle. Channels deplete; loops compound.

The rule that keeps it non-slimy: every loop must do the user a service, not just you. A branded report the user is proud to send is a loop; a watermark they resent is spam with extra steps. If the loop degrades the experience, it is not a loop, it is a leak in your trust.

The gate: a loop amplifies whatever you feed it. If week-2 retention is broken, a loop compounds churn, not growth. Before this skill: first value in under an hour (time-to-first-value), first 50 real users in hand (first-50-users), and cohorts that come back (know-if-its-working, Frankl's net developer retention). If any of those fail, that failure is your Now move, not this.

The dev-tool loop catalog

Six loops that actually work for developer tools. You need one, running at full strength.

  1. Showcase loop. The product's output is shareable and carries your name with it: a CodePen link, an exported report with the logo intact, a "Generated by X" footer on docs. crowd.dev's exported community health reports carried the branding; recipients asked how the report was made, and that question was the signup.
  2. Badge loop. A status signal developers want in their README: "build passing" (Travis CI, CircleCI), coverage percent (Codecov). Every visitor to every repo that uses you sees a micro-advertisement, and the badge earns its place by signaling quality, not by begging.
  3. Workflow loop. The tool acts inside a shared workflow where non-users see it working. Snyk auto-opens pull requests with vulnerability fixes; every collaborator reviews that PR, discovers the tool, and signs up. A bot comment on a fixed issue, a summary email a dev forwards to the team: same mechanics.
  4. Team loop. One developer adopts, and the tool lands in a shared repo, a CI pipeline, or a lockfile every collaborator now touches. Then it walks out the door when a dev changes jobs and installs it on day one. The qualifying question: does the tool become more useful when more people use it together? If yes, build the invite into onboarding, not into a popup.
  5. Public-content loop. Usage produces content strangers find: user-created projects and collections browsable in public (StackBlitz, Postman's public workspaces), community answers that stay indexed instead of dying in a ticket, and the tutorials their questions teach you to write (founder-led-content is this loop's fuel).
  6. Marketplace loop. Live where developers already shop: a VS Code extension, a Jenkins plugin, a framework's starter gallery, GitHub's own surfaces (trending, "used by", dependents). Every new user of their platform can now discover yours.

Read the full file on GitHub · 82 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 82 lines · 80 tokens per session scan A 7da036044ca5

Subscribe to this mod's changes

growth-loops is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (276 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 1,921 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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