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.
通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel.
$ npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-voice-builder --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-voice-builder .claude/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .claude/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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-voice-builderType 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-voice-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-voice-builder --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-voice-builder .agents/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .agents/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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-voice-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-voice-builder --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-voice-builder .cursor/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .cursor/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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-voice-builder--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-voice-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-voice-builder --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-voice-builder .gemini/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .gemini/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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-voice-builderInstalls 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-voice-builder -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-voice-builder .github/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .github/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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-voice-builder -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-voice-builder --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-voice-builder .opencode/skills/skill-voice-builder && 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-voice-builder" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-voice-builder into .opencode/skills/skill-voice-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-voice-builder", 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.
skill-voice-builder通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel.
Skill Voice Builder is an agent skill from ZJU-REAL/Easel. 通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致。 当用户说"声音画像""我的写作风格""风格一致""建立人设语气""voice/tone""我的表达习惯""统一文风"时使用。 和 skill-audience-profiler 的区别:本 SKILL 建创作者自己的声音画像;audience-profiler 建目标受众/粉丝画像。
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `EASEL-META.md`, `references/interview-questions.md` and `references/sample-content.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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skill Voice Builder loads about 587 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 166 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.
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.
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 166 words, ~587 tokens.
.claude/skills/skill-voice-builder/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.通过结构化访谈 + 写作样本分析,生成个人声音画像(about-me.md + voice.md),确保后续内容创作的品牌一致性。
用户参与访谈并提供 3-5 篇写作样本(小红书笔记、抖音文案、B站文稿、微博帖子、公众号文章等)。
若用户没有样本,可输入 use samples 加载默认样本集 references/sample-content.md。
两个文件,输出至项目根目录(独立的轻量声音产物,不属于 Profile 六维 schema;如需并入画像,可把要点回写到 profiles/<画像>/style.md):
加载即执行,不做任何前言、摘要或确认。第一条消息必须是访谈问题。
禁止:
使用 AskUserQuestion 工具,每批最多 4 题。
问题详情及选项 → interview-questions.md
Batch 1 回答后立即发送 Batch 2,中间不做评论。若有答案为空,单独追问一次后继续。
根据 6 题答案撰写,结构:
# 我的定位
## 身份与定位
## 目标受众
## 内容主题支柱
## 行业观点
## 人设承诺
## 内容禁区≤300 词。每一行都应是后续创作时可直接引用的信息。
提示用户粘贴 3-5 篇写作样本。支持一次性粘贴或逐篇发送。
use samples → 加载 references/sample-content.md,告知样本作者并提醒可随时替换跨所有样本寻找模式,不依赖单篇特征。
分析维度详情 → voice-analysis-dimensions.md
四个分析维度:
综合声音画像,正向信号与缺失信号合并在同一文件:
# 我的声音画像
## 我听起来像谁
## 语气基调
## 句子节奏
## 开头钩子
## 我怎么开头
## 我怎么收尾
## 标志性表达
## 内容禁区
## 这个声音从不做的事≤500 词。每个章节必须基于样本实证,不得编造。内容禁区 和 这个声音从不做的事 必须有样本缺失证据支撑。
告知用户两个文件已就绪,后续创作将自动引用。提示可用的下一步操作。
© 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
SKILL.md and 4 other files (references) in skills/openclaw/skill-voice-builder of ZJU-REAL/Easel.
Open the folder on GitHubat commit 278f420
Skill Voice 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Voice Builder this skillZJU-REAL/Easel | 3.4k | — | ~587 | 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 |
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.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
crazyguitar/pysheeet
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC.
manaflow-ai/cmux
Covers debug logging, the Debug menu, profiling rules and runtime pitfalls for working on the cmux macOS terminal app.
dotnet/skills
Scans C# and .NET code for about 50 performance anti-patterns and reports prioritized findings with concrete fixes, at a scan depth you choose.
keybase/client
Analyzes V8, Chrome and Electron .heapsnapshot files with Node scripts to find memory leaks, detached DOM nodes and the retainer paths that keep objects alive.
ZJU-REAL/Easel
微信公众号文章排版引擎:把 Markdown / Word(.docx) / PDF / 纯文本转成可直接粘贴进公众号编辑器的 HTML,自动章节编号、关键词标记、引言卡、目录、代码块、图片/GIF、作者签名;主题从 references/theme-index.md…
ZJU-REAL/Easel
微信公众号文章自动创作与发布工具。给定参考文章、文字或文档,自动搜索整理全网相关信息、生成图文并茂的公众号文章,并发布到微信公众号草稿箱。特别强调反 AI 检测写作。
ZJU-REAL/Easel
社媒卡片视觉设计系统:提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检,避免模板化 PPT 与廉价 AI 感。
ZJU-REAL/Easel
生成电商商品视觉方案:主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report
ZJU-REAL/Easel
长篇小说/网文连载创作:从世界观、人设和三级大纲写到逐章正文,并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
Categories
通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致. An agent skill from ZJU-REAL/Easel. Skill Voice Builder is an agent skill from ZJU-REAL/Easel.
Skill Voice Builder fits situations like: tasks that involve Performance optimization.
Run `npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a claude-code`. Or copy the skill folder (skills/openclaw/skill-voice-builder in ZJU-REAL/Easel) into .claude/skills/skill-voice-builder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ZJU-REAL/Easel --skill skill-voice-builder -a codex`. Or copy the skill folder (skills/openclaw/skill-voice-builder in ZJU-REAL/Easel) into .agents/skills/skill-voice-builder in your project. Codex loads it when a task matches its description.
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-voice-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-voice-builder, .gemini/skills/skill-voice-builder, .github/skills/skill-voice-builder and .opencode/skills/skill-voice-builder in your project.
SKILL.md names no scripts, command-line tools or credentials: Skill Voice Builder is instructions for the agent only.
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.
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.
Skill Voice 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.
About 587 tokens (SKILL.md is roughly 2.3k 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 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Skill Voice Builder: 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.
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.