skill-audience-profiler SKILL.md skillA
skill-audience-profiler from zju-real/easel is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zju-real/easel/skill-audience-profiler@git:20261012.0d53744Pins git:20261012.0d53744 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zju-real/easel
- Path
skills/builtin/skill-audience-profiler/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261012.0d53744, committed Oct 12, 2026
- Size
- 3,408 bytes
- Repository stars
- 4,469
- License
- Apache-2.0
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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] …
Read the whole file at its exact version.
How to install
mdr add zju-real/easel/skill-audience-profiler@sha256:4a71ff39bddb7e09The line at the top of this page pins the label git:20261012.0d53744, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_l4ojk2j5xou2rvfs)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3408 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zju-real/easel · 4,469 stars · license Apache-2.0 · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l4ojk2j5xou2rvfs GET https://markdownregistry.com/api/v1/resolve?ref=zju-real/easel/skill-audience-profiler GET https://markdownregistry.com/api/v1/blob/4a71ff39bddb7e09a8f56072bde0483056329df050b90713f50fc4662a18b77b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.