菜单
Operational scaling methodology + visual ad design framework + premium tactical teardown patterns. The 'how' layer to Modules 1-2's 'why' — math, research, composition physics, awareness pyramid, and stacking with Lara/Kallaway for short-form + LinkedIn deployment.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
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正在显示 SKILL.md
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.
基于 SOC 职业分类
| name | Omar Eddaoudi: Scaling Ops |
| description | Operational scaling methodology + visual ad design framework + premium tactical teardown patterns. The 'how' layer to Modules 1-2's 'why' — math, research, composition physics, awareness pyramid, and stacking with Lara/Kallaway for short-form + LinkedIn deployment. |
| version | 1.0 |
| format | completion-engine |
| workflows | 10 |
| tier | Forge |
| module | Module 3 — Scaling Operations |
The operational layer. Where Modules 1-2 define the philosophy of premium (exclusionary tension, narrative hegemony, social signals), Module 3 defines the engineering — how unit economics get designed, how customer research becomes ad ammunition, how static ads obey optical physics, and how scale works without CAC inflation.
Track record anchor: Multiple brands scaled 0 → 7 figures. One client moved from $3K/month to $83K/month. Treats marketing as "educated guessing" — the skill is in the education of who you're guessing about.
17 genius patterns. 4 Hall of Fame exemplars. 8 signature moves. 8-criteria quality rubric.
| # | Workflow | Slash | Produces | Use When |
|---|---|---|---|---|
| 01 | Profit-First Brand Architecture | /omar-profit-architecture | Unit economics + CAC/ROAS gate document | Pre-launch, pre-scale, brand viability check |
| 02 | AI-Powered Customer Research Stack | /omar-research-stack | 4-prompt deliverable (pain/benefit/objection/sentiment) | Pre-creative-strategy phase |
| 03 | Avatar + Neural Trigger Map | /omar-avatar-trigger-map | 1-page avatars + trigger matrix + 20-hook bank | After research, before creative production |
| # | Workflow | Slash | Produces | Use When |
|---|---|---|---|---|
| 04 | Static Ad Composition System | /omar-static-composition | Designed static + composition rationale | Any product-led static design |
| 05 | Premium Ad Teardown | /omar-ad-teardown | Multi-ad breakdown (composition × psychology × positioning) | Studying competitor or own ads for patterns |
| 06 | White Space Positioning Map | /omar-white-space-map | Differentiation matrix + 5+ recommended hero angles | Choosing positioning in saturated category |
| 07 | Three-Layer Launch Portfolio | /omar-launch-portfolio | Full launch matrix (UGC + Static + Founder) | New brand launch or scale phase |
| 08 | Awareness Pyramid Scaling Audit | /omar-pyramid-audit | Awareness map + gap analysis + scaling roadmap | CAC inflating, scale-phase planning |
| # | Workflow | Slash | Stack Partner | Produces |
|---|---|---|---|---|
| 09 | Premium Personal Brand Visual System | /omar-lara-visual-stack | × Lara Acosta | 10-static LinkedIn brand template + thumbnail library |
| 10 | Pattern Interrupt Visual Hooks | /omar-kallaway-pattern-interrupt | × Kallaway | 10 visual hook templates for short-form |
01 → 02 → 03 → 06 → 07 → 04 (per ad) Time: 2-3 weeks pre-launch + ongoing iteration
01 (audit) → 02 → 06 → identify 1-3 highest-impact pivots Time: 1 week diagnostic, then targeted intervention
08 → identify gap stage → 04 (stage-matched creative) → measure Time: Weekly cadence during scale ramp
04 (batch produce 10 statics) → ship Time: 1-2 days per batch
09 (full LinkedIn brand system build) Time: 1 week build, ongoing usage
10 (10-template thumbnail library) → deploy ongoing Time: 2 days build, ongoing usage
05 (competitor portfolio teardown) → 06 (white space identification) Time: 3-5 days
/omar-lara-visual-stack) → premium personal brand for LinkedIn experts/omar-kallaway-pattern-interrupt) → short-form thumbnail + hook system| Need | Use |
|---|---|
| Brand philosophy / luxury positioning theory | Module 1 (omar-eddaoudi) |
| Perception hegemony / LEO / sentiment | Module 2 (in omar-eddaoudi) |
| Premium ad systems (5-prompt premium ads) | Premium Ads skill (omar-eddaoudi-premium-ads) |
| Unit economics / customer research / visual composition / scaling math | Module 3 (this skill) |
/omar-launch-portfolio before /omar-profit-architecture produces unprofitable launchesThis module operates under the 8-criteria quality rubric in genius.md:
Veto threshold: Score ≤4 on Profit Math blocks deployment regardless of composite.
10 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/omar-eddaoudi-scaling-ops/references/prompts-v2/avatar-neural-trigger-map.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/awareness-pyramid-scaling-audit.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/customer-research-synthesis.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/pattern-interrupt-visual-hooks.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/premium-ad-teardown.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/premium-personal-brand-visual-system.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/profit-first-architecture-decision.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/static-ad-composition-system.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/three-layer-launch-portfolio.mdskills/omar-eddaoudi-scaling-ops/references/prompts-v2/white-space-positioning-map.md