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Systematic split-testing protocol for ads, audiences, and landing pages — test design, sample sizing, significance thresholds.
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Baseado na classificação ocupacional SOC
Higgsfield image prompt director covering Banana Pro, Soul Cinema, and GPT-2. Three asset types in strict order — single-image character outfit on white seamless studio (Banana Pro or Soul Cinema two-step), 6-panel multi-angle character sheet off that base, and scene plates with/without characters. Plus GPT-2 for detail face/chest-up portraits. Reads reference images for hair, makeup, wardrobe, jewelry, identity. Outputs photorealistic prompts with locked hyperreal stack — skin pores, subsurface scattering, strand-by-strand hair, fabric weave, Kodak Vision3 film. Use for any character outfit reference, character sheet, model sheet, ref sheet, multi-angle sheet, scene plate, environment plate, face detail, or photorealistic still — even without saying 'Banana Pro,' 'Nano Banana,' or 'Soul Cinema.'
Universal cinema worldbuilding director for Seedance video prompts. Five cinema modes (Narrative, Studio, Action, Performance, Atmospheric) with locked ARRI + Panavision/Cooke camera specs and diegetic-only audio rules. Reads reference images for wardrobe, hair, makeup, identity, and environment. Outputs production-ready Seedance prompts. Use whenever CC asks for a Seedance video prompt, mentions Seedance, asks for cinematic scene breakdowns, uploads reference images for a scene, describes a scene for video generation, or asks for shot prompts for music videos, action sequences, performance scenes, narrative shorts, fashion films, or atmospheric environment plates — even if 'cinematic' or a mode name isn't said.
Complete automated video production system for CC's content pipeline. Use whenever CC provides raw video footage and says "make this a post", "edit this", or asks for a cinematic output. Replaces a human video editor entirely. Covers hook engineering, pacing, caption styling, color grading, audio mastering, sound design, motion graphics, and multi-platform export.
Read-only social + web listening across public platforms (YouTube, Twitter/X, LinkedIn, Reddit, the open web, GitHub, Exa search) for competitive intelligence, content research, transcript mining, and checking public post results. Wraps Agent Reach via scripts/social_reach_tool.py. Does NOT read Instagram, TikTok, or Facebook.
Build high-converting, education-first advertorial / "infomercial" landing pages for ecommerce products — long-form scrollable HTML that warms cold paid traffic and clicks through to the product page. Covers angle selection, direct-response copy doctrine, AI image generation with a product reference, a premium anti-slop design system, and a portable build/QA convention. Use for advertorials, pre-sell pages, native/listicle ad landers, VSL pages, or any "read-an-article-then-buy" funnel page.
Automated video editing pipeline for CC's personal brand content. Use whenever CC drops raw footage and needs it edited, captioned, graded, and sent for review. The primary tool is video_editor.py which handles the full 8-step pipeline.
| name | a-b-testing |
| description | Systematic split-testing protocol for ads, audiences, and landing pages — test design, sample sizing, significance thresholds. |
| canon_references | ["sharp-how-brands-grow","ritson-diagnosis","hormozi-value-equation"] |
| canon_source | brain/MARKETING_CANON.md |
| universal | true |
| note | Examples in this skill may reference SunBiz (legacy client); the skill itself is brand-agnostic. Per-brand context lives in brain/clients/<brand>.md. |
| triggers | ["run an A/B test","split test this ad","test two headlines","which variant wins","ab test campaign"] |
Systematic split testing for ads, audiences, and landing pages.
Test Name: [descriptive name]
Variable: [what's being tested]
Hypothesis: [what we expect and why]
Variant A: [control — current/original]
Variant B: [challenger — the change]
Success Metric: [CTR / CPL / CVR]
Budget: $X per variant per day
Duration: 7-14 days
Minimum Sample: 500 impressions per variant
Start Date: YYYY-MM-DD
End Date: YYYY-MM-DD
RESULTS (fill after test)
Variant A: [metric] = X.XX%
Variant B: [metric] = X.XX%
Winner: [A/B]
Confidence: XX%
Action: [implement winner / run follow-up test]