Agent skill

Skill Profile Builder

by ZJU-REAL in ZJU-REAL/Easel

首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找…

Apache-2.0Auto-check passed

Install Skill Profile Builder

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-profile-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-profile-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-profile-builder .claude/skills/skill-profile-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-profile-builder
GitHub stars
3.4k
Token cost
~527 tokens
SKILL.md length
124 words
Files
4 (incl. references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找…

  • Works in 7 steps: 确定画像名,检查 profiles/<名>/… → 收集社媒链接。按 onboarding-questions.md… → 分析社媒链接。按 social-link-analysis.md 用… → …
  • SKILL.md covers 与 profile-manager 的区别, 输入, 输出 and 执行步骤, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Profile Builder is an agent skill from ZJU-REAL/Easel. 首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找 profile-manager。

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EASEL-META.md`, `references/onboarding-questions.md` and `references/social-link-analysis.md`).

The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

Example prompts

  • “/skill-profile-builder”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. 确定画像名,检查 profiles/<名>/ 是否已存在(存在则问是覆盖还是完善)。不存在则复制 profiles/_template/ 为骨架。
  2. 收集社媒链接。按 onboarding-questions.md 的清单引导用户给出主页链接与基础信息。
  3. 分析社媒链接。按 social-link-analysis.md 用 web_fetch 抓取可获取的公开内容(近期发帖标题/题材/互动、公开收藏/点赞),推断:常发题材、风格语气、受众画像、高互动内容特征。
  4. 收集运营意图与偏好。按 onboarding-questions.md 逐维度提问:想运营的方向、原因、自己的特点/资源、内容偏好、对标账号、红线。
  5. 综合生成 6 维。把[链接分析]与[用户自述]融合,按 profiles/_template/ 各文件的字段填写
  6. 标注缺口 + 追问。任何维度信息不足就在该处写 [待补充] 并列出需要用户回答的具体问题(做成 plan 让用户逐条补),不要用通用套话填满。
  7. 写入并回执。写 profiles/<名>/ 各文件,输出一份"画像已生成"摘要:各维度完成度、哪些来自链接分析、哪些待补充,并建议下一步跑 account-diagnosis。

What it can do on your machine

Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Profile Builder loads about 527 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 124 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~527
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 124 words, ~527 tokens.

Download SKILL.mdSave it as .claude/skills/skill-profile-builder/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
skill-profile-builder
description
首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找 profile-manager。
layer
general

Profile 构建器(首次引导)

把"空白/半空的画像"变成"可用的 6 维 Profile"。用户首次使用 Easel 时先跑这个:收集社媒链接 + 运营意图 → 分析已发内容/收藏喜好 → 生成 profiles/<名>/ 下 6 个维度文件。生成后交给 account-diagnosis 做起号诊断。

与 profile-manager 的区别

  • profile-builder(本 SKILL) = 从 0 到 1 生成画像(引导填写 + 社媒分析 + 综合成稿)。
  • profile-manager = 已有画像的 CRUD、切换、字段增删改。

输入

用户按需提供(缺的通过追问补,不编造):

项说明
画像名一个人设 = 一个画像(非一个平台),如"科技数码达人"
社媒链接各平台主页 URL(小红书/抖音/B站/微博/知乎/公众号),用于分析已发内容与收藏喜好
运营意图想做什么方向、为什么做、自己的特点/优势/资源
内容偏好喜欢看什么类型、想产出什么类型、参考/对标的账号
红线明确不做的内容、合规底线

输出

profiles/<画像名>/ 下生成 6 个文件(结构见 profiles/_template/): identity.md / style.md / audience.md / platforms.md / preferences.md / memory.md。 每个字段标注来源:[用户自述] / [链接分析] / [待补充]。

执行步骤

  1. 确定画像名,检查 profiles/<名>/ 是否已存在(存在则问是覆盖还是完善)。不存在则复制 profiles/_template/ 为骨架。

  2. 收集社媒链接。按 onboarding-questions.md 的清单引导用户给出主页链接与基础信息。

  3. 分析社媒链接。按 social-link-analysis.md 用 web_fetch 抓取可获取的公开内容(近期发帖标题/题材/互动、公开收藏/点赞),推断:常发题材、风格语气、受众画像、高互动内容特征。

    • 抓取受限(多数平台反爬)时降级:明确告诉用户哪些没抓到,改由用户口述 + 追问补齐,不臆造数据。
  4. 收集运营意图与偏好。按 onboarding-questions.md 逐维度提问:想运营的方向、原因、自己的特点/资源、内容偏好、对标账号、红线。

  5. 综合生成 6 维。把[链接分析]与[用户自述]融合,按 profiles/_template/ 各文件的字段填写:

    • identity ← 定位/差异化/内容方向
    • style ← 语气/开头结构/视觉/节奏/标志元素(链接分析里的高频风格优先)
    • audience ← 核心人群/兴趣/痛点/互动特征
    • platforms ← 各平台账号名/粉丝量级/内容形式(来自链接)
    • preferences ← 要做/不做/合规底线
    • memory ← 首次留空或只放链接分析得到的初步洞察
  6. 标注缺口 + 追问。任何维度信息不足就在该处写 [待补充] 并列出需要用户回答的具体问题(做成 plan 让用户逐条补),不要用通用套话填满。

  7. 写入并回执。写 profiles/<名>/ 各文件,输出一份"画像已生成"摘要:各维度完成度、哪些来自链接分析、哪些待补充,并建议下一步跑 account-diagnosis。

Profile 感知

本 SKILL 是生成 Profile,不消费。生成质量取决于用户提供的链接可抓取程度与自述完整度——信息越全,后续 account-diagnosis 越准。

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/openclaw/skill-profile-builder of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/onboarding-questions.md
  • references/social-link-analysis.md

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Profile Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Profile Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Profile Builder this skillZJU-REAL/Easel3.4k—~527Automated safety check: PassApache-2.0
Profileccusage/ccusage19k—~430Automated safety check: PassCustom licence
Cpu ProfileClickHouse/ClickHouse50k—~1.9kAutomated safety check: NotesApache-2.0
Codex Profilessickn33/agentic-awesome-skills47k1 repos~1.7kAutomated safety check: PassMIT
Collectors Snmp Profilesnetdata/netdata81k—~3.1kAutomated safety check: PassGPL-3.0
Alloc ProfileClickHouse/ClickHouse50k—~4.3kAutomated safety check: PassApache-2.0

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Questions about Skill Profile Builder

What does Skill Profile Builder do?

首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找…. Skill Profile Builder is an agent skill from ZJU-REAL/Easel.

How do I install Skill Profile Builder in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-profile-builder -a claude-code`. Or copy the skill folder (skills/openclaw/skill-profile-builder in ZJU-REAL/Easel) into .claude/skills/skill-profile-builder in your project. Claude Code loads it when a task matches its description.

How do I install Skill Profile Builder in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-profile-builder -a codex`. Or copy the skill folder (skills/openclaw/skill-profile-builder in ZJU-REAL/Easel) into .agents/skills/skill-profile-builder in your project. Codex loads it when a task matches its description.

Can I use Skill Profile Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-profile-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-profile-builder, .gemini/skills/skill-profile-builder, .github/skills/skill-profile-builder and .opencode/skills/skill-profile-builder in your project.

What does Skill Profile Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Profile Builder is instructions for the agent only.

Does Skill Profile Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Profile Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Profile Builder use?

Skill Profile Builder is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Profile Builder use?

About 527 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 984 tokens, read only when the agent opens those files.

What are the alternatives to Skill Profile Builder?

Skills that share tags, products or a category with Skill Profile Builder: Profile (ccusage/ccusage, 19k stars), Cpu Profile (ClickHouse/ClickHouse, 50k stars), Codex Profiles (sickn33/agentic-awesome-skills, 47k stars) and Collectors Snmp Profiles (netdata/netdata, 81k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Profile Builder?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.