Lingzao
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
What Would User Do for RedConvert. An agent skill from Jamailar/Beav.
Install Wwud
$ npx skills add Jamailar/Beav --skill wwud -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jamailar/Beav wwud --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/Jamailar/Beav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/desktop/builtin-skills/wwud .claude/skills/wwud && 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 "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .claude/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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/Jamailar/Beav/tree/main/desktop/builtin-skills/wwudType 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 Jamailar/Beav --skill wwud -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jamailar/Beav wwud --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/desktop/builtin-skills/wwud .agents/skills/wwud && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .agents/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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 Jamailar/Beav --skill wwud -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jamailar/Beav wwud --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/desktop/builtin-skills/wwud .cursor/skills/wwud && 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 "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .cursor/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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/Jamailar/Beav.git --path desktop/builtin-skills/wwud--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 Jamailar/Beav --skill wwud -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jamailar/Beav wwud --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/desktop/builtin-skills/wwud .gemini/skills/wwud && 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 "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .gemini/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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 Jamailar/Beav wwudInstalls 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 Jamailar/Beav --skill wwud -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .github/skills && cp -r skills-src/desktop/builtin-skills/wwud .github/skills/wwud && 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 "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .github/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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 Jamailar/Beav --skill wwud -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jamailar/Beav wwud --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/desktop/builtin-skills/wwud .opencode/skills/wwud && 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 "wwud" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/wwud into .opencode/skills/wwud/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wwud", 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
wwud- GitHub stars
- 1.8k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 622 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
What Would User Do for RedConvert. An agent skill from Jamailar/Beav.
- Works in 7 steps: Current user message and task metadata. → Current RedClaw / Wander / chat session… → profiles://user and… → …
- The model reaches a decision point that normally needs user judgment
- SKILL.md covers App-Specific Context Sources, Decision Classes, RedConvert Preference Model and Decide Workflow, plus 3 more sections
- Runs Python scripts from its folder
What it does
Wwud is an agent skill from Jamailar/Beav. What Would User Do for RedConvert. Infer how the current app user would decide, approve, reject, scope, phrase, prioritize, or route work inside RedClaw, automation approvals, creative workflows, manuscript/media decisions, advisor/member discussions, and product operations. Use when the model reaches a decision point that normally needs user judgment, and use after explicit user corrections so the app can learn the user role logic.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/app_sources.md`, `references/model_schema.md` and `scripts/bootstrap_redconvert_wwud.py`).
It sits in Media & Creative. It works with Xiaohongshu. The repository describes itself as: 小红书 AI 运营工作台｜小红书采集、评论区下载、素材库、选题、AI写作、小红书全域解决方案，开箱即用，一键安装，小红书AI工作台，自媒体素材库，AI写作+图片自动编排，小红书版OpenClaw、自媒体资产底座+AI工作台，支持小红书图文+小红书评论区下载、小红书AI创作工具、自媒体版WorkBuddy、抖音、小红书爬虫数据采集.
When your agent uses it
- The model reaches a decision point that normally needs user judgment
- Use after explicit user corrections so the app can learn the user role logic
Example prompts
- “/wwud”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Current user message and task metadata.
- Current RedClaw / Wander / chat session context.
- profiles://user and profiles://creator_profile.
- Operate(resource="redclaw.profile", operation="bundle", input={}).
- Active advisor/member skill when the task asks how a role would judge.
- Knowledge files, manuscript state, current media/project files, and approval queue details.
- Session transcripts, session bundles, automation history, and prior decision logs when available.
What it can do on your machine
Read from SKILL.md and the folder at commit f35befd. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Wwud loads about 1.6k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 622 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 622 words (~1,568 tokens).
“WWUD means "What Would User Do". Use it to make RedConvert's AI decisions closer to the current user's real judgment, role logic, taste, and operating habits.”
- name
- wwud
- allowedRuntimeModes
- redclaw, wander, chatroom, advisor-discussion, automation, long_running_task, default
- hookMode
- inline
- autoActivate
- false
- activationScope
- turn
- activationHint
- 当任务涉及审批、自动化选择、RedClaw 调度取舍、是否继续执行、创作方向判断、稿件/标题/封面/视频方案选择、成员角色观点模拟、范围收缩、发布前取舍，或用户明确问“我会怎么选/按我的习惯/替我判断/WWUD”时，调用 `Operate(resource="skills", operation="invoke"…
- contextNote
- WWUD 是当前 app 的用户判断模型技能。它应该优先读取当前空间的用户档案、创作者档案、advisor/member skill、知识库记忆、RedClaw 会话与自动化历史，从真实选择和纠正中推断用户的角色思路。它只负责辅助判断和记录学习，不替代用户授权。
- promptPrefix
- 你当前已加载 WWUD。遇到需要用户判断的节点时，先把选择归类为 routine、material 或 restricted；再读取当前空间档案和任务上下文，推断用户最可能的选择。可读取 `profiles://user`、`profiles://creator_profile`，或调用…
- promptSuffix
- WWUD 不能把推断当作授权。涉及外部发布、资金、凭据、删除、不可逆变更、合规/法律、向第三方发消息、生产部署或低置信高影响动作时，必须回问用户。用户给出确认、纠正或选择后，把可泛化的判断规则整理成 learn 观察，供后续写入用户模型。
- maxPromptChars
- 9000
Files
SKILL.md and 4 other files (scripts, references) in desktop/builtin-skills/wwud of Jamailar/Beav.
- SKILL.md
- references/app_sources.md
- references/model_schema.md
- scripts/bootstrap_redconvert_wwud.py
- scripts/record_wwud_event.py
Open the folder on GitHubat commit f35befd
Compare with similar skills
Wwud 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 |
|---|---|---|---|---|---|---|
| Wwud this skillJamailar/Beav | 1.8k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Lingzaoatian-create/lingzao-skill | 295 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| Xiaohongshu Ingestchubbyguan/chubbyskills | 1.2k | — | ~613 | Automated safety check: Notes | MIT | |
| Xiaohongshu Expertokooo5km/Skills4U | 183 | — | ~931 | Automated safety check: Pass | MIT | |
| Video To ArticleZJU-REAL/Easel | 3.2k | — | ~585 | Automated safety check: Pass | Apache-2.0 | |
| Xhs CarouselCatCatUncle/openworkbuddy | 277 | — | ~505 | Automated safety check: Pass | Custom licence |
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Works with
Categories
Questions about Wwud
What does Wwud do?
What Would User Do for RedConvert. An agent skill from Jamailar/Beav. Wwud is an agent skill from Jamailar/Beav. What Would User Do for RedConvert.
When should I use Wwud?
Wwud fits situations like: the model reaches a decision point that normally needs user judgment; use after explicit user corrections so the app can learn the user role logic.
How do I install Wwud in Claude Code?
Run `npx skills add Jamailar/Beav --skill wwud -a claude-code`. Or copy the skill folder (desktop/builtin-skills/wwud in Jamailar/Beav) into .claude/skills/wwud in your project. Claude Code loads it when a task matches its description.
How do I install Wwud in Codex?
Run `npx skills add Jamailar/Beav --skill wwud -a codex`. Or copy the skill folder (desktop/builtin-skills/wwud in Jamailar/Beav) into .agents/skills/wwud in your project. Codex loads it when a task matches its description.
Can I use Wwud 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 Jamailar/Beav --skill wwud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wwud, .gemini/skills/wwud, .github/skills/wwud and .opencode/skills/wwud in your project.
What does Wwud need to run?
Going by SKILL.md and its folder, Wwud needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Wwud 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 Wwud 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Wwud use?
Wwud has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Wwud use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 816 tokens, read only when the agent opens those files.
What are the alternatives to Wwud?
Skills that share tags, products or a category with Wwud: Lingzao (atian-create/lingzao-skill, 295 stars), Xiaohongshu Ingest (chubbyguan/chubbyskills, 1.2k stars), Xiaohongshu Expert (okooo5km/Skills4U, 183 stars) and Video To Article (ZJU-REAL/Easel, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wwud?
Jamailar (a GitHub user) maintains it in Jamailar/Beav, which has 1,823 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.
Source: Jamailar/Beav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.