brand-profiles

Centralize audience strategy for mini-programs using declarative brand profiles.

Updated Sep 27, 2025
One-click install
npx skills add https://github.com/jackandking/LetMeTryAI --skill brand-profiles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-profiles
Source: https://github.com/jackandking/LetMeTryAI/tree/main/.agents/skills/brand-profiles
Command: npx skills add https://github.com/jackandking/LetMeTryAI --skill brand-profiles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill centralizes audience strategy for LetMeTryAI mini-programs, ensuring that topic selection and prompting are tailored to specific brand identities and target demographics.

Core Features & Use Cases

  • Audience Strategy Centralization: Stores product strategy in a declarative data format, preventing scattering across prompts or scripts.
  • Profile Management: Defines preferred categories, formats, positive/negative signals, hard blocks, and title/question patterns for each brand.
  • Use Case: When generating content for the '爱老人' (Elder Love) brand, this skill provides specific guidelines on preferred topics (e.g., health, family) and formats (e.g., lists, suggestions), ensuring the content resonates with the target audience.

Quick Start

Use the brand-profiles skill to get the profile for the 'elder-love' brand.

Frequently Asked Questions about brand-profiles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I centralize audience strategy for mini-programs to tailor content?

You can centralize audience strategy for mini-programs by defining declarative brand profiles that manage preferred categories, formats, signals, and patterns to tailor topic selection. This prevents strategy from scattering across prompts or scripts.

What is a declarative brand profile for audience segmentation?

A declarative brand profile is a centralized data configuration that defines preferred topics, formats, positive and negative signals, and hard blocks for specific brands. It ensures generated content resonates with the target demographic.

How do I manage content personalization rules for different brands?

You manage content personalization rules by loading JavaScript modules that access brand-specific configurations. These modules define title and question patterns, ensuring prompting and topic selection match the brand identity.

Can I use brand profiles to set hard blocks and negative signals for content generation?

Yes, brand profiles allow you to set hard blocks and define negative signals within the declarative data format. This restricts unwanted topics and formats, ensuring content strictly adheres to brand strategy guidelines.

Does prompt engineering for mini-programs require storing strategy in JavaScript modules?

Prompt engineering for mini-programs uses JavaScript modules to load and access brand-specific configurations. This centralizes the strategy declaratively, preventing it from being scattered across individual prompts.

What is the best way to automate topic selection for specific brand demographics?

The best way to automate topic selection is by defining declarative brand profiles that specify preferred categories and patterns. This ensures automated prompting aligns with the target audience's expectations.