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Media team scaling, content operations, attention monetization, and personal brand architecture from the strategist who built Dan Martell's 9M+ audience
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| name | Sam Goddard — Media Scaling & Attention Monetization |
| description | Media team scaling, content operations, attention monetization, and personal brand architecture from the strategist who built Dan Martell's 9M+ audience |
| version | 2.0 |
| format | completion-engine |
| workflows | 5 |
The operating system behind scaling a founder's personal brand from niche expert to media empire. Sam Goddard built Dan Martell from 100K niche SaaS followers to 9M+ across platforms with 200M+ monthly views — then architected the monetization layer that turned that attention into Martell Ventures and an AI Incubator.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| 01 | Audience Expansion & Topic Roadmap | Strategic Content Expansion Plan | A brand has plateaued in its niche or needs to identify high-demand topics that align with founder expertise. |
| 02 | High-Retention Scripting Engine | Production-Ready Master Script Pack | You need to move from 'creating content' to 'engineering retention' for YouTube, podcasts, or short-form video. |
| 03 | Media Operation Scaling Blueprint | Media Team Hiring & ROI Model | A founder is ready to transition from a solo operation to a professional media team (GoPro phase). |
| 04 | Monetization & Strategic Architecture | Attention-to-Revenue Ecosystem Map | You have built an audience and need to engineer the backend monetization layer and long-term business strategy. |
| 05 | Cross-Platform Audience Compounding | Audience Compounding Architecture | You publish across multiple platforms and need to engineer migration paths so each platform's audience feeds the next. |
14 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/sam-goddard-media-scaling/references/prompts-v2/aperture-widening-strategy.mdskills/sam-goddard-media-scaling/references/prompts-v2/attention-arbitrage-calculator.mdskills/sam-goddard-media-scaling/references/prompts-v2/attention-monetization-architect.mdskills/sam-goddard-media-scaling/references/prompts-v2/concept-promise-architect.mdskills/sam-goddard-media-scaling/references/prompts-v2/decade-frame-strategy.mdskills/sam-goddard-media-scaling/references/prompts-v2/gopro-scaling-blueprint.mdskills/sam-goddard-media-scaling/references/prompts-v2/interest-demand-mapper.mdskills/sam-goddard-media-scaling/references/prompts-v2/retention-reframe-engineering.mdskills/sam-goddard-media-scaling/references/prompts-v2/script-production-system.mdskills/sam-goddard-media-scaling/references/prompts-v2/scriptwriter-reframe-test.mdskills/sam-goddard-media-scaling/references/prompts-v2/subtext-character-builder.mdskills/sam-goddard-media-scaling/references/prompts-v2/sustainable-creator-blueprint.mdskills/sam-goddard-media-scaling/references/prompts-v2/trend-research-system.mdskills/sam-goddard-media-scaling/references/prompts-v2/unique-mechanism-engineer.mdThe /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.
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