android-app-factory
Suede AI Android App Factory Skills. Use when asked to \"build an Android app\" or modernize a Kotlin/Compose product:…
Use when asked \"how did X grow\", \"reverse engineer their marketing\", \"what made this artist blow up\", or \"map their funnel\". Suede AI reverse-engineers any company, creator, artist, founder brand, app, or launch from dated public evidence: a one-source growth curve, a
Claude Code
$ npx -y skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone --agent claude-code
Codex
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a codex -y
Cursor
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a cursor -y
Gemini CLI
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a gemini-cli -y
GitHub Copilot
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a github-copilot -y
OpenCode
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a opencode -y
Windsurf
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-reverse-engineer-anyone -a windsurf -y
name: suede-reverse-engineer-anyone description: "Use when asked \"how did X grow\", \"reverse engineer their marketing\", \"what made this artist blow up\", or \"map their funnel\". Suede AI reverse-engineers any company, creator, artist, founder brand, app, or launch from dated public evidence: a one-source growth curve, a log of every move, funnel and content patterns, hidden signals, the user's gap, and ranked plays routed to the Suede skill that runs each one. NOT FOR: a current-state competitor snapshot (use suede-competitor-profiling), publishing comparison pages (use suede-competitors), or why one post traveled (use suede-social)." metadata: display-name: "Suede AI Reverse Engineer Anyone Skills" version: 1.0.0
Use this growth-teardown playbook to work out how a company, creator, artist, founder brand, app, or launch grew, in date order, from evidence the user can check. Hand back four things: when the target grew, what it did around those months, how the user's own numbers compare, and which plays to run next, each routed to the Suede skill that does the work.
A teardown is a history, not a profile. `suede-competitor-profiling` describes what a target is today. This skill explains how it got there.
An agent with web access and local file writing. Collection uses whatever the session actually exposes: a browser, page fetch, and any authorized SEO, social, ad-library, or analytics connector. Free public sources (archives, certificate logs, DNS, job boards, app reviews, package registries, video and podcast feeds) are collected by `scripts/collect.mjs`, which needs no API keys. Every stage keeps a manual fallback. Arithmetic runs through `scripts/timeline.mjs`. Both need Node 22 or later and no dependencies.
Check for `.agents/product-marketing.md` (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md`) and read it if present. Then settle the intake below, asking only for what context does not already answer:
1. **Target.** A domain, handle, artist page, app listing, or launch. No target: suggest three fast-growing targets in the user's category and let them pick. 2. **Target type.** Company, creator or artist, founder or personal brand, app or game, or a single launch or campaign. The type decides the curve source and which stages apply. See [references/target-types.md](references/target-types.md). 3. **Mode.** See the table below. 4. **Window.** Default: the last 24 months, or since launch if the target is younger. 5. **The user's side.** Their domain or handle, category, stage (pre-launch, early revenue, scaling), and the channels they have capacity to run. Plays are filtered by fit. 6. **The user's data.** Which of their own sources are connected: Search Console, analytics, ad accounts, social or streaming dashboards. These power the gap step. 7. **Data tools and budget.** Which paid sources are available (see [references/data-sources.md](references/data-sources.md)) and a cap for paid calls (default $5). 8. **Country.** For traffic, chart, and keyword estimates. Default: US.
| Mode | Use when | Runs | |---|---|---| | **Teardown** (default) | "How did X grow," "what should we copy" | All nine stages; stage 3 only with approval | | **Content** | "What content works for X," hooks, thumbnails, carousels, release rollouts | Handles from stage 2, then stage 6 | | **Quick** | A first look, a small budget, prep for a call | Stage 1, the free stage 5 checks, stage 2 headlines, stage 9 with five plays | | **Funnel Hack** | "Map their whole funnel," "what are their upsells," "how do they sell" | Stage 3 with approved purchases, using [references/funnel-hack.md](references/funnel-hack.md) | | **Landscape** | "What is everyone in my category doing," several targets, picking who to study | Stages 1, 2, and 5 across three to five targets, using [references/landscape.md](references/landscape.md) | | **Watch** | Ongoing monitoring of a target already torn down | The monthly diff in Watch Mode |
**Availability gate.** Use a connector only when it is exposed in this session, connected to the intended account, authorized for this task, and its c
Open-source skills for Claude Code and Codex, with an MCP server, a PyPI package and Suede Awesome Everything, a directory that scores AI agent skills 0 to 99. Created by Jason Colapietro, founder and CEO of Suede AI.
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