Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
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. An agent skill from ZJU-REAL/Easel.
Install Skill Audience Profiler
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-audience-profiler --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .claude/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.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/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .claude/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profilerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-audience-profiler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .agents/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .agents/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-audience-profiler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .cursor/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .cursor/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/skill-audience-profiler--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-audience-profiler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .gemini/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .gemini/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel skill-audience-profilerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .github/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .github/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel skill-audience-profiler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-audience-profiler .opencode/skills/skill-audience-profiler && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-audience-profiler" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-audience-profiler into .opencode/skills/skill-audience-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-audience-profiler", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-audience-profiler- GitHub stars
- 3.4k
- Token cost
- ~441 tokens
- SKILL.md length
- 74 words
- Files
- 3 (incl. references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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. An agent skill from ZJU-REAL/Easel.
- Works in 8 steps: ：收集上下文 → ：受众画像框架 → ：痛点与需求 → …
- Tasks that involve Performance optimization
- SKILL.md covers Step 1：收集上下文, Step 2：受众画像框架, Step 3：痛点与需求 and Step 4：内容偏好, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Audience Profiler is an agent skill from ZJU-REAL/Easel. 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。
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `EASEL-META.md` and `references/profiling-frameworks.md`).
It sits in Development, covering Performance optimization. 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.
When your agent uses it
- Tasks that involve Performance optimization
Example prompts
- “我的用户是谁”
- “/skill-audience-profiler”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
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 Audience Profiler loads about 441 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 74 words of instructions outside code blocks.
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). 74 words, ~441 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-audience-profiler/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- skill-audience-profiler
- description
- 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。
- layer
- plan
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"
© 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 2 other files (references) in skills/openclaw/skill-audience-profiler of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/profiling-frameworks.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Audience Profiler 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Audience Profiler this skillZJU-REAL/Easel | 3.4k | — | ~441 | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Analyzing .NET Performancedotnet/skills | 5.6k | 3 repos | ~3.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Skill Audience Profiler
What does Skill Audience Profiler 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. An agent skill from ZJU-REAL/Easel. Skill Audience Profiler is an agent skill from ZJU-REAL/Easel.
When should I use Skill Audience Profiler?
Skill Audience Profiler fits situations like: tasks that involve Performance optimization.
How do I install Skill Audience Profiler in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a claude-code`. Or copy the skill folder (skills/openclaw/skill-audience-profiler in ZJU-REAL/Easel) into .claude/skills/skill-audience-profiler in your project. Claude Code loads it when a task matches its description.
How do I install Skill Audience Profiler in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-audience-profiler -a codex`. Or copy the skill folder (skills/openclaw/skill-audience-profiler in ZJU-REAL/Easel) into .agents/skills/skill-audience-profiler in your project. Codex loads it when a task matches its description.
Can I use Skill Audience Profiler 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-audience-profiler -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-audience-profiler, .gemini/skills/skill-audience-profiler, .github/skills/skill-audience-profiler and .opencode/skills/skill-audience-profiler in your project.
What does Skill Audience Profiler need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Audience Profiler is instructions for the agent only.
Does Skill Audience Profiler 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 Audience Profiler 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 Audience Profiler use?
Skill Audience Profiler 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 Audience Profiler use?
About 441 tokens (SKILL.md is roughly 1.8k 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 1k tokens, read only when the agent opens those files.
What are the alternatives to Skill Audience Profiler?
Skills that share tags, products or a category with Skill Audience Profiler: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Audience Profiler?
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.