一键导入
audience-targeting
Audience-strategy playbook — behavioral targeting, custom audiences, lookalikes, exclusions, keyword segmentation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Audience-strategy playbook — behavioral targeting, custom audiences, lookalikes, exclusions, keyword segmentation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 | audience-targeting |
| description | Audience-strategy playbook — behavioral targeting, custom audiences, lookalikes, exclusions, keyword segmentation. |
| canon_references | ["sharp-mental-availability","godin-smallest-viable-audience","holmes-buyer-pyramid"] |
| 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 | ["define audience","who should we target","build a custom audience","lookalike audience setup","targeting strategy for this campaign"] |
Strategic audience building for MCA campaigns across Google and Meta — optimized for CREDIT category restrictions.
Under Meta's Special Ad Category (CREDIT), traditional demographic targeting is severely restricted. The winning approach for MCA ads:
[High Intent] — Bottom of funnel
"MCA consolidation"
"merchant cash advance consolidation"
"MCA buyout"
"consolidate MCA positions"
"reverse consolidation MCA"
"MCA debt relief"
"too many merchant cash advances"
"reduce MCA daily payments"
[Medium Intent] — Middle of funnel
"MCA alternatives"
"business funding options"
"working capital overleveraged"
"revenue based financing"
"best MCA rates"
"business cash advance"
[Low Intent / Educational]
"what is MCA consolidation"
"how to calculate leverage ratio"
"merchant cash advance explained"
"how MCA works"
[Negative Keywords] — Always exclude
"MCA jobs", "MCA certification", "MCA course", "MCA broker jobs",
"free money", "grant", "loan forgiveness", "student loan",
"payday loan", "personal loan", "mortgage", "car loan",
"MCA meaning medical", "MCA artery"
Since we can't target demographics, use copy to filter:
| Type | Source | Best For |
|---|---|---|
| Website | Meta Pixel (JotForm visitors) | Retargeting form visitors |
| Form Abandoners | Started form but didn't submit | High-intent retargeting |
| Customer List | Funded deal CRM export (hashed) | Data-modeled signals |
| Engagement | Page/post interactions | Warm audience |
| Video | Video ad viewers (50%+ watched) | Video retargeting |
Build behavioral models from funded deal data: