Use when someone wants to launch a content brand from scratch on any platform. Triggers on "launch a channel", "start a YouTube channel", "build a podcast", "start a newsletter", "content brand", "creator launchpad", "build my audience", "start creating content", "grow on TikTok", "start a blog".
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Build a content brand from zero across any platform through a guided 7-phase pipeline. Each phase produces a concrete artifact that feeds the next.
| Platform | Key Adaptations |
|---|---|
| YouTube | Thumbnails, watch time optimization, end screens, Shorts strategy |
| Podcast | Episode structure, show notes, guest strategy, RSS/distribution |
| Newsletter | Subject lines, open rates, lead magnets, landing pages |
| TikTok/Shorts | Hook-first scripting, trends, sounds, posting cadence |
| Blog | SEO-first titles, internal linking, pillar/cluster strategy |
Ask 3 questions before starting:
Then proceed to Phase 1.
User can say "skip to phase N" at any time. When they do:
digraph launchpad {
rankdir=TB;
p1 [label="Phase 1: Niche Discovery"];
p2 [label="Phase 2: Brand Identity"];
p3 [label="Phase 3: Content Roadmap"];
p4 [label="Phase 4: Content Production"];
p5 [label="Phase 5: Discovery & Packaging"];
p6 [label="Phase 6: Monetization Stack"];
p7 [label="Phase 7: Repurposing Engine"];
handoff [label="Handoff: snowball-content" shape=doublecircle];
p1 -> p2 -> p3 -> p4 -> p5 -> p6 -> p7 -> handoff;
}
Each phase: explain what we're doing and why, generate the artifact, get user approval or tweaks, then advance.
Save all outputs to content-launchpad/ directory as numbered markdown files.
Prompt framework: Analyze the top 10 niches within the user's interest area for their chosen platform(s). For each niche, provide:
| Factor | Detail |
|---|---|
| Revenue potential | CPM/sponsorship rates (YouTube), ad rates (podcast), conversion rates (newsletter), brand deal ranges (TikTok), affiliate potential (blog) |
| Competition level | Low / Medium / High with reasoning |
| Evergreen demand | Trend data, seasonality |
| Monetization paths | Beyond primary platform revenue — at least 3 per niche |
| 3-word concept | Channel/show/publication concept in 3 words |
Output: content-launchpad/01-niche-analysis.md
End with a recommendation. Ask the user to pick or refine before proceeding.
Using the chosen niche, generate:
Adapt for platform:
Output: content-launchpad/02-brand-identity.md
Build a 90-day content calendar:
Platform-specific calendar format:
Output: content-launchpad/03-content-roadmap.md
Create a reusable production system for the user's platform:
YouTube script structure:
Podcast episode structure:
Newsletter structure:
TikTok/Shorts structure:
Blog structure:
Generate one complete example using a title from the Phase 3 roadmap. Set the tone based on Phase 2 brand identity.
Output: content-launchpad/04-production-system.md
For the first 3 pieces from the roadmap, generate:
All platforms:
Platform-specific:
Output: content-launchpad/05-discovery-packaging.md
Build a monetization roadmap based on the brand identity and platform(s):
| Stream | When to Start | What to Build | Expected Revenue Range |
|---|---|---|---|
| Primary platform revenue | Day 1 setup | AdSense/Spotify/paid newsletter/display ads | Platform-specific estimates |
| Affiliate | Month 1 | Relevant product recommendations with disclosure | Per-niche estimates |
| Digital product | Month 2-3 | Course, template, guide, toolkit — based on content pillars | Price range suggestion |
| Sponsorship | Month 3+ | Pitch template + rate card based on niche CPMs | Per-1000 rates |
| Email list | Day 1 | Lead magnet idea tied to content pillars | List building targets |
| Community/membership | Month 6+ | Platform recommendation (Discord, Patreon, Substack, etc.) | Tier structure |
Include a sponsorship pitch template and a lead magnet concept tied to the brand.
Output: content-launchpad/06-monetization-stack.md
Take one piece of content from the roadmap and demonstrate how to repurpose it into 7+ pieces across platforms:
| Source Format | Repurposed Into | Platform | Adaptation Notes |
|---|---|---|---|
| Long-form video | 3 short clips | TikTok/Shorts/Reels | Hook-first edits |
| Long-form video | Thread | X/Twitter | Key insights as numbered list |
| Long-form video | Post | Professional angle, personal story | |
| Long-form video | Newsletter | Summary + exclusive insight | |
| Long-form video | Blog post | Website | SEO-optimized transcript expansion |
| Long-form video | Carousel | Visual key takeaways | |
| Long-form video | Pin | Infographic or quote card |
Adapt the source format column to whatever the user's primary platform is.
After completing Phase 7: Suggest invoking snowball-content to build the ongoing content multiplication flywheel. The launchpad builds the brand; snowball keeps it fed.
Output: content-launchpad/07-repurposing-engine.md
| Mistake | Fix |
|---|---|
| Generic niche ("fitness") | Push deeper: "mobility for desk workers over 35" |
| Brand identity that sounds like everyone else | The differentiator must be specific and defensible |
| Unrealistic posting schedule | Match to platform norms AND creator capacity |
| Monetization too early | Build audience trust first — the roadmap has timing for a reason |
| Repurposing = copy-paste | Each platform needs native adaptation, not just re-posting |
| Skipping discovery/packaging | The best content fails without discoverability |
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Use when evaluating, designing, or pressure-testing the business model of an AI agent product. Triggers on "agent business model", "agent economics", "agent canvas", "evaluate agent product", "agent pricing", "agent unit economics", "agentic business", "AI agent company", "agent cost structure".
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Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.
中文简介正在准备中。当前显示原文说明。
Use when you have an existing pipeline DOT file that needs review, fixing, or validation. Use when validation produces warnings or errors, when a DOT file was hand-written or generated by another tool, or when you want to verify a pipeline covers 100% of a spec before running it.
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Use when you want to build a project but don't have a spec yet and need to brainstorm the idea into a design doc structured for pipeline DOT generation. Use when starting from a vague idea, project concept, or feature request that needs to become a headless autonomous build pipeline.
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Use when you have a spec, design doc, structured plan, or prompt_plan and need to generate a pipeline Graphviz DOT file for headless autonomous building. The agent reads the spec, extracts build pipeline phases, determines tech stack, asks about human gates and model preferences, generates a validated DOT digraph with rich self-contained prompts, and saves it to the project root. Handles any language or framework.
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Use when a pipeline DOT file has passed structural validation but may still have flow inefficiencies, spec fidelity gaps, or information loss in prompts. Use after dotfile-audit or dotfile-from-spec when you want to deeply verify a pipeline captures everything from the original spec. Use when prompts might be missing critical domain rules, data models, or invariants.
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