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Execute the zero-to-$1M AI path: lock in to one domain, build brand through learning in public, launch a recurring-revenue community offer. From a solo founder who actually did it.
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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/Farrice/mes-knowledge-base --skill sabrina-ramonov-ai-monetization-learn-in-public-strategyコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
SOC 職業分類に基づく
SKILL.md を表示中
| name | Sabrina Ramonov: AI Monetization & Learn-in-Public Strategy |
| description | Execute the zero-to-$1M AI path: lock in to one domain, build brand through learning in public, launch a recurring-revenue community offer. From a solo founder who actually did it. |
| version | 2.0 |
| format | completion-engine |
| workflows | 3 |
Expert extraction from Sabrina Ramonov's "If I Had to Make $1M From $0" — a strategic blueprint from a solo AI founder who went from zero to $1M+ and is now teaching 1 million people AI at sabrina.dev.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| ai | AI Domain Lock-In Strategy | 12-Month AI Domain Commitment & Market Entry Charter | You are starting from zero and need to select a high-potential AI niche while ensuring you don't quit early. |
| learn | Learn-in-Public Brand Engine | 90-Day Brand-First Content & Launch Roadmap | You have a domain but no audience, and you need to build distribution before building a product. |
| recurring | Recurring Community Monetization | High-Retention Community Offer & Moat Blueprint | You have an engaged audience and are ready to launch a recurring-revenue offer that is protected from competitors. |
7 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/sabrina-ramonov-ai-monetization/references/prompts-v2/01-lock-in-protocol.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/02-learn-in-public-engine.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/03-community-offer-architect.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/04-community-moat-builder.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/05-anti-distraction-protocol.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/06-market-timing-analyzer.mdskills/sabrina-ramonov-ai-monetization/references/prompts-v2/07-brand-first-sequencer.md