Indie maker playbook for bootstrapped apps inspired by Pieter Levels' MAKE: The Indie Maker Blueprint. Use when a user is starting or sizing an app idea, choosing what to build next, building a minimal product, preparing a launch, diagnosing stalled growth, deciding pricing or monetization, automating operations, maintaining a per-app MAKE.md tracker, or evaluating whether to sell a product.
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Use this skill as a stage-specific operating system for solo and bootstrapped software products. It is an original checklist and diagnostic system inspired by Pieter Levels' MAKE: The Indie Maker Blueprint; it is not a substitute for the book. Keep attribution intact when reusing the references.
Idea -> Build -> Launch -> Grow -> Monetize -> Automate -> Exit
Always treat references/ethos.md as the standing frame for bootstrapping,
persistence, and ethical constraints. Load it once per session when it has not
already been read. Its constraints override stage tactics: no fake engagement,
fake reviews, dishonest growth hacks, user-hostile monetization, or selling user
data.
MAKE.md file exists in
the project root, read it first because it may already contain this state.templates/make-tracker.md to the project root as MAKE.md and fill in
what is known. For an existing MAKE.md, update the relevant section as
decisions are made.| User situation | Load |
|---|---|
| "I do not know what to build", idea feels broad, niche is unclear | references/idea.md |
| Stuck choosing stack, overbuilding, outsourcing before proof | references/build.md |
| Built something but nobody knows, launch plan is vague | references/launch.md |
| Traffic plateaued, retention unclear, growth depends on paid ads | references/grow.md |
| Users but no revenue, pricing/model is unclear | references/monetize.md |
| Revenue exists but founder is the bottleneck | references/automate.md |
| Acquisition offer, sale timing, valuation, or diligence questions | references/exit.md |
MAKE.md in the project root for per-app state.For most requests, return:
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Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Use when a user wants to queue learning material, create a readable explanation from a source, teach a paper or post step by step, or run an interactive tutor that validates understanding over multiple sessions.
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Inspect an unfamiliar repository, turn a focused Markdown behavior scenario into a deterministic test in the repository's native test stack, run it, and preserve traceability between intent and code. Use when asked to add scenario tests, compile acceptance criteria or Given/When/Then Markdown into executable tests, reproduce a user-visible regression, or convert a narrow workflow specification into stable web, API, CLI, desktop, or mobile interaction coverage. Do not use for broad exploratory journeys or agent-judged smoke tests.
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Apply a disciplined engineering workflow to any code change. Use whenever implementing a feature, fixing a bug, or refactoring — before writing code, not after. Walks orient → baseline → smallest change → test → verify → self-review, and enforces language-agnostic hard gates (don't mass-reformat, keep the linter and type-checker clean, keep the build and tests green, make interface changes additive, protect security invariants).
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Create truthful, human-centered marketing campaigns for an app or product, including positioning, channel copy, original artwork, editable layouts, README banners, and selective website integration. Use when asked to make launch materials, promotional artwork, social assets, campaign kits, ads, or marketing content from an existing product; to adapt a visual reference without copying it; or to add approved campaign art to product surfaces. Do not invent claims, fake UI, publish, deploy, or replace product proof without explicit evidence and authorization.
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Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.
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Use when the user asks to run or continue an autonomous build: turn a goal into an approved plan, dispatch implementation and review agents, and finish with one pull request. The Lead is a provider-neutral orchestrator that makes decisions but never writes code, edits files, runs commands, or reviews its own work.
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