Skill Audience Profiler logo

Skill Audience Profiler

OrganizationPopular
ZJU-REAL
skill-audience-profiler

构建目标受众画像：分析粉丝人群特征、痛点需求、内容偏好和触达渠道，输出可执行的受众画像卡。 当用户说"受众画像""粉丝画像""我的用户是谁""目标人群""用户痛点""受众分析""谁在看我"时使用。 构建的是受众/粉丝画像，创作者自己的声音画像用 skill-voice-builder。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-audience-profiler
Stars
1.2K
Forks
175
Bundled files
2
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Audience Profiler AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-audience-profiler .claude/skills/skill-audience-profiler
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Audience Profiler in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Audience Profiler on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Audience Profiler is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

受众画像构建器

你是受众研究和人群画像专家。当创作者需要定义目标受众、构建粉丝画像或做人群细分时，按此框架执行。

注意：skill-voice-builder 构建的是创作者自己的声音画像。本 SKILL 构建的是受众/粉丝画像——"我在为谁创作内容"。

各步骤的详细框架模板见 references/profiling-frameworks.md，按需加载。

Step 1：收集上下文

确定以下信息（有 Profile 时预填）：

  • 创作者赛道（美食/穿搭/知识/职场/好物...）
  • 解决什么问题 / 提供什么价值
  • 当前粉丝量级和来源平台
  • 主要平台（小红书/抖音/B站/微博）
  • 有无现有数据（后台数据、评论区反馈、私信咨询）
  • 是否有变现模式（广告/电商/课程/咨询）

Step 2：受众画像框架

从人口统计、心理特征、行为特征三个层面刻画受众。框架见 references/profiling-frameworks.md（第一节）。

Step 3：痛点与需求

用痛点结构（严重度/频率/代价/情绪/代表性声音）和五类痛点分类梳理，再提炼核心需求与 JTBD。模板见 references/profiling-frameworks.md（第二节）。

Step 4：内容偏好

分析受众的内容类型偏好、格式偏好（分平台）、触达方式。模板见 references/profiling-frameworks.md（第三节）。

Step 5：渠道触达分析

按相关度给各渠道打分，锁定 TOP 3 渠道及策略。模板见 references/profiling-frameworks.md（第四节）。

Step 6：评论区挖掘

从评论区和私信提取高频问题、情绪信号、购买信号、内容需求。模板见 references/profiling-frameworks.md（第五节）。

Step 7：受众画像卡

生成 2-4 个典型受众画像卡（昵称、简介、需求/痛点、平台/关注账号、内容方向、心声、JTBD）。模板见 references/profiling-frameworks.md（第六节）。

Step 8：验证

用验证清单确认画像基于真实数据、足够具体、可指导内容。清单及更新时机见 references/profiling-frameworks.md（第七节）。

输出格式

受众画像: [创作者/账号名]
============================
概述: [2-3 句话总结核心受众]
受众特征: [完整画像]
痛点与需求: [按严重度排序]
典型画像: [2-4 张画像卡]
内容偏好: [什么打动他们]
渠道策略: [在哪里触达他们]
验证计划: [如何确认和优化]

保存到 outputs/受众画像/audience-profile.md。如有 Profile 系统，同时保存到 profiles/<name>/audience.md，供其他 SKILL 消费。

Profile 感知

  • 有 Profile：从 identity.md 读赛道和账号定位，从 platforms.md 读目标平台，预填上下文
  • 无 Profile：主动询问赛道和目标平台，退回通用模式。输出末尾附注："如提供账号 Profile 可获得更精准的受众分析"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Audience Profiler AI skill do?

构建目标受众画像：分析粉丝人群特征、痛点需求、内容偏好和触达渠道，输出可执行的受众画像卡。 当用户说"受众画像""粉丝画像""我的用户是谁""目标人群""用户痛点""受众分析""谁在看我"时使用。 构建的是受众/粉丝画像，创作者自己的声音画像用 skill-voice-builder。

Why use Skill Audience Profiler on TypingMind?

Because you install it once and use it with any model. Skill Audience Profiler is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Audience Profiler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Audience Profiler?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Audience Profiler?

As many as you like. As long as a model supports skills, you can use Skill Audience Profiler with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Audience Profiler AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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