Skillget

startup-growth-playbook

mcp
Security Audit
Warn
Health Pass
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 23 GitHub stars
Code Warn
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This is a prompt-engineering framework rather than a traditional software package. It provides a set of markdown instructions designed to guide an LLM agent in analyzing your codebase and automatically generating a tailored marketing plan.

Security Assessment
Overall Risk: Low. This tool does not contain executable application code, request dangerous system permissions, or contain hardcoded secrets. Because it primarily consists of markdown files, the automated code scanner could not analyze source files, but this is expected given its nature. The primary security consideration is that it instructs your LLM agent to read your codebase and write files to a local directory. Since the output is just text-based marketing artifacts, the tool itself is safe, though you should always monitor what your AI agent generates and commits.

Quality Assessment
The project is licensed under the permissive MIT standard and features a clear, thorough README. It appears to be an active project, having received updates as recently as today. While it is a newer tool with a modest community footprint of 23 GitHub stars, its straightforward structure makes it very easy for a developer to review and implement.

Verdict
Safe to use — it is a low-risk, text-based AI framework that merely guides your local LLM agent to produce marketing documents.
SUMMARY

Clone into any startup repo. An LLM agent auto-generates and executes a marketing plan from your codebase. 7 distribution-first strategies.

README.md

Startup Growth Playbook

Distribution-first marketing strategies for AI-era startups. Clone into any project directory and let an LLM agent auto-generate and execute a marketing plan from the codebase.

Quick Start

cd your-startup-project/
git clone https://github.com/fayerman-source/startup-growth-playbook.git marketing/

Then tell your LLM agent:

Read marketing/AGENT.md and follow the protocol.

The agent will:

  1. Discover — scan your codebase to understand the product, niche, and audience
  2. Select — pick the best 2-3 strategies from the playbook
  3. Plan — generate a tailored plan.md with real tasks and metrics
  4. Execute — produce marketing artifacts (content, SEO pages, outreach, etc.)
  5. Handoff — when the next step requires app-code changes or live rollout, generate an implementation-ready handoff instead of endlessly expanding docs

No manual setup. No forms to fill in. The protocol bootstraps from your code.

What's Inside

File Purpose
AGENT.md Self-bootstrapping protocol — the agent reads this first
playbook.md 7 distribution strategies with implementation steps and agent tasks
startup-template.md Plan structure (used by the agent, not by you)

The 7 Strategies

  1. MCP Servers — let AI assistants sell for you
  2. Programmatic SEO — generate thousands of keyword-targeted pages
  3. Free Tool — build a grader/calculator as top-of-funnel
  4. Answer Engine Optimization — be the source ChatGPT and Perplexity cite
  5. Viral Artifacts — make product outputs shareable
  6. Newsletter Acquisition — buy an audience for $5-20K instead of building from zero
  7. Content Repurposing — one pillar piece becomes 50+ across channels

Output Structure

The agent commits marketing artifacts to subdirectories:

marketing/
  plan.md         — tailored marketing plan (auto-generated)
  content/        — tweets, LinkedIn posts, newsletters, blog posts
  seo/            — keyword research, page templates, generated pages
  tools/          — free tool specs or source code
  outreach/       — newsletter targets, DM templates
  aeo/            — FAQ content, schema markup
  artifacts/      — viral artifact designs, share copy

Important Boundary

By default, this playbook is designed to generate and organize marketing work inside marketing/.

If the next valuable step requires:

  • publishing pages in the real app
  • wiring homepage or product UX changes
  • implementing share flows
  • adding analytics
  • submitting sitemaps or checking live behavior

the agent should switch from content generation to an implementation handoff unless the user explicitly asks it to modify the product code.

Source

Strategies derived from Greg Isenberg's Startup Ideas Podcast.

License

MIT

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