Detalle del Skill

ai-content-generation

General AI-content playbook that includes Higgsfield among many tools, rather than a dedicated integration.

CoincidenciaPosibleRevisado para higgsfield
Fuenterealjaymes/marketingagentskillsFuente externa
Instalaciones reportadas13Solo señal de popularidad

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Vista previa guardada

SKILL.md

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: ai-content-generation
description: "When the user wants to create AI-generated image or video content: a faceless influencer or persona for TikTok and Instagram, a faceless YouTube channel, an AI clone or talking-head of themselves, or AI ad creative (UGC, product video, static images). Also use when the user mentions 'faceless influencer,' 'faceless channel,' 'AI avatar,' 'AI UGC,' 'talking head,' 'clone myself,' 'AI ad creative,' 'AI video ads,' or tools like Veo, Google Flow, Kling, Higgsfield, Seedance, Runway, ElevenLabs, HeyGen, Arcads, Nano Banana, Midjourney, or Ideogram. Gives step-by-step, copy-paste-prompt playbooks for each use case plus the realism rules that beat AI slop. For paid-ad strategy and targeting, see performance-marketing or paid-ads."
metadata:
  version: 1.5.0
---

# AI Content Generation

Help the user actually make AI image and video content, end to end, with copy-paste prompts at every step. This skill covers four use cases, each a self-contained, do-this-then-that playbook. The hard parts (keeping a character consistent and killing the AI-slop look) are baked into the prompts, so the user can follow the steps without prior experience.

## The core idea

The model is the easy part. What makes AI content win is the niche, the script, keeping the character or product consistent, and beating the AI-slop look. Every playbook bakes those in. Roughly 80% of quality is set before the model runs (research, script, consistency, realism); the model is the last 20%.

## Pick the use case, then open its reference

| The user wants to... | Use this reference |
|---|---|
| Run a recurring AI character on TikTok or Instagram, no face on camera | `references/faceless-influencer.md` |
| Clone themselves into a talking head and generate videos from scripts | `references/ai-clone-talking-head.md` |
| Make paid ad creative at volume (UGC, product video, static) | `references/ai-ad-creative.md` |
| Build a faceless YouTube channel (long-form and shorts) | `references/faceless-youtube.md` |

Each reference is fully self-contained: a numbered walkthrough split into one-time setup and a repeating loop, with the exact prompts inline.

## How to run this skill

1. Identify which of the four use cases the user is after (ask one question if unclear).
2. Open the matching reference file and follow it with the user, step by step.
3. At each tool step, give the user the copy-paste prompt from the reference, filled in with their specifics (niche, topic, product, audience).
4. Keep one character, one voice, and one look consistent across a user's content. Consistency is the most common failure point.
5. Apply the realism rules below to every generation prompt (they are already written into the reference prompts; do not strip them out).
6. Before the user publishes, run the reference's pre-publish checklist.

## How the tools are named (app vs model)

The names look chaotic because three different things share the spotlight: apps you chat inside, wrappers that put one interface over many models, and the models that do the generating. Once you know which is which, every new launch slots in. The model generates. The app or wrapper is just the door you walk through to reach it.

Three buckets:

- **Assistant / app**: where you type. It runs models underneath. ChatGPT, Gemini, Claude.
- **Wrapper**: one interface over several models, usually for cheaper volume or shot control. Google Flow, Higgsfield.
- **Model**: the thing that actually generates, split by layer (text, image, video, voice). Veo 3.1, Gemini Omni, Nano Banana, Kling.

| Tool | Type | Made by | What it is / what it runs |
|---|---|---|---|
| ChatGPT | Assistant | OpenAI | LLM for scripts and ideas |
| Gemini | Assistant | Google | LLM, and the front door to Google's image (Nano Banana) and video (Omni) models |
| Claude | Assistant | Anthropic | LLM, best for natural voice and writing |
| Google Flow | Wrapper | Google | Runs Veo 3.1 and Gemini Omni with a sce
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