User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。
Install Image Assistant
$ npx skills add yunshu0909/yunshu_skillshub --skill image-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yunshu0909/yunshu_skillshub image-assistant --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/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/visualization/image-assistant .claude/skills/image-assistant && 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 "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .claude/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistantType 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 yunshu0909/yunshu_skillshub --skill image-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yunshu0909/yunshu_skillshub image-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/visualization/image-assistant .agents/skills/image-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .agents/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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 yunshu0909/yunshu_skillshub --skill image-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yunshu0909/yunshu_skillshub image-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/visualization/image-assistant .cursor/skills/image-assistant && 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 "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .cursor/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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/yunshu0909/yunshu_skillshub.git --path visualization/image-assistant--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 yunshu0909/yunshu_skillshub --skill image-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yunshu0909/yunshu_skillshub image-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/visualization/image-assistant .gemini/skills/image-assistant && 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 "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .gemini/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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 yunshu0909/yunshu_skillshub image-assistantInstalls 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 yunshu0909/yunshu_skillshub --skill image-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .github/skills && cp -r skills-src/visualization/image-assistant .github/skills/image-assistant && 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 "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .github/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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 yunshu0909/yunshu_skillshub --skill image-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yunshu0909/yunshu_skillshub image-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/visualization/image-assistant .opencode/skills/image-assistant && 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 "image-assistant" agent skill from https://github.com/yunshu0909/yunshu_skillshub/tree/master/visualization/image-assistant into .opencode/skills/image-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-assistant", 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
image-assistant- GitHub stars
- 768
- Used in
- 1 other repo
- Token cost
- ~536 tokens
- SKILL.md length
- 111 words
- Files
- 20 (incl. scripts)
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- MIT
At a glance
配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。
- Works in 5 steps: 还没把需求讲清楚（内容 + 场景 + 受众 + 字多/字少）→ 阶段1 → 文章很长、需要拆块，或需要确定“几张图/每张讲什么”→ 阶段2 → 已确认图清单，但还没确定“图上逐字写什么”→ 阶段3 → …
- Product & Project Management work in your project
- SKILL.md covers 触发方式, 流程概览, 调度规则 and 输出规范（必须遵守）, plus 2 more sections
- Runs Python scripts from its folder
What it does
Image Assistant is an agent skill from yunshu0909/yunshu_skillshub. 配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including scripts (for example `examples/ai-tools-selection.md`, `scripts/README.md` and `scripts/apimart_batch_generate.py`).
It sits in Product & Project Management. The repository describes itself as: 云舒精选的 Claude Code Skills 集合，提升开发和产品管理效率. The licence is MIT.
When your agent uses it
- Product & Project Management work in your project
Example prompts
- “需要几张图+每张讲什么”
- “/image-assistant”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 还没把需求讲清楚（内容 + 场景 + 受众 + 字多/字少）→ 阶段1
- 文章很长、需要拆块，或需要确定“几张图/每张讲什么”→ 阶段2
- 已确认图清单，但还没确定“图上逐字写什么”→ 阶段3
- Copy Spec 已确认，要出可复制提示词；（可选）提示词确认后批量出图 → 阶段4
- 用户反馈“字多/不好看/不符合封面” → 阶段5（必要时回退到阶段1重锁需求与字多/字少）
What it can do on your machine
Read from SKILL.md and the folder at commit da0d31f. 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 3 files in scripts/ (Python, from the files we listed), 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
Image Assistant loads about 536 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 111 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
The full file from yunshu0909/yunshu_skillshub at commit da0d31f, republished under its MIT licence (© yunshu0909). 111 words, ~536 tokens.
Download SKILL.mdSave it as
.claude/skills/image-assistant/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.- name
- image-assistant
- description
- 配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。
- metadata.status
- active
- metadata.status_updated_at
- 2026-10-06
配图助手
触发方式
当用户说类似以下内容时触发：
- “这段内容做个图 / 配几张图？”
- “给我两张（或多张）出图提示词”
- “字太多不好看，帮我更趣味、更好读”
- “把这个流程封装成提示词模板/skills”
- “/image “/配图” “/出图”
流程概览
| 阶段 | 名称 | 目标 | 详细文件 |
|---|---|---|---|
| 1 | 需求澄清（Spec/DoD） | 先挖需求：内容/场景/受众/字多字少；尺寸与风格默认；产出一句话复述与需求小结 | stages/01-brief.md |
| 2 | 配图规划（拆块→清单） | 拆内容→定图清单（几张/每张讲啥/用啥模板） | stages/02-plan.md |
| 3 | 文案定稿（Copy Spec） | 逐字定稿“图上写什么”（唯一真值） | stages/03-copy.md |
| 4 | 提示词封装（Prompt Pack） | 把 Copy Spec 封装成可复制提示词；生成批量请求包并在用户确认后批量出图 | stages/04-prompts.md |
| 5 | 迭代润色 | 根据反馈减字、换隐喻、提可读性 | stages/05-iterate.md |
调度规则
如何判断当前阶段：
- 还没把需求讲清楚（内容 + 场景 + 受众 + 字多/字少）→ 阶段1
- 文章很长、需要拆块，或需要确定“几张图/每张讲什么”→ 阶段2
- 已确认图清单，但还没确定“图上逐字写什么”→ 阶段3
- Copy Spec 已确认，要出可复制提示词；（可选）提示词确认后批量出图 → 阶段4
- 用户反馈“字多/不好看/不符合封面” → 阶段5（必要时回退到阶段1重锁需求与字多/字少）
每个阶段开始时：
- 告诉用户当前阶段与本阶段输出物
- 读取对应阶段文件并按步骤执行
输出规范（必须遵守）
- 每张图一个“核心信息”，不把解释性段落塞进图里
- 所有中文必须清晰可读：大字号、少字短句、避免密集小字
- 每张提示词用一个独立代码块输出，便于复制
- 默认输出 16:9 横版（除非用户明确要 3:4 漫画/竖版）
- 默认风格：奶油纸底 + 彩铅水彩手绘 + 轻涂鸦，趣味但干净（可用
templates/style-block.md） - 阶段3产物（Copy Spec）一旦确认，阶段4不得擅自改文案，只做封装与参数/约束补全
快速使用（给用户的最小输入）
用户只要给这四项，就能开始：
- 要配图的内容（可是一段、一个小节、或整篇文章）
- 用在哪里 + 观看距离（PPT投影远看 / 手机近看 / 海报）
- 谁来看（小白/从业者/老板/学生…）
- 偏好：更“少字清爽”还是更“信息密度”
可选补充（不写也没关系）：
- 你大概想要哪类图：封面/目录、单页概览、讲义解释、社媒海报（不确定我会根据场景与偏好推荐）
你要做的交付顺序：
- 先输出：图清单（几张 + 每张一句话目的 + 模板建议）（阶段2）
- 用户确认后：逐张输出 Copy Spec（逐字定稿）（阶段3）
- Copy Spec 确认后：逐张输出可复制提示词/调用包（阶段4）
- （可选）提示词确认后：批量调用 API 出图（阶段4内连续流程）
- 用户说“字多/不好看”就进入迭代（阶段5）
文件结构
stages/
├── 01-brief.md
├── 02-plan.md
├── 03-copy.md
├── 04-prompts.md
└── 05-iterate.md
templates/
├── style-block.md
├── 16x9-infographic.md
├── 16x9-contrast-2cards.md
├── 16x9-3cards-insights.md
├── 16x9-cover-roadmap.md
├── 16x9-5panel-comic.md
├── api-config.md
├── apimart-curl.md
├── apimart-requests-jsonl.md
└── checklist.md
examples/
└── ai-tools-selection.md
scripts/
├── apimart_batch_generate.py
├── apimart.env.example
└── README.md© yunshu0909, MIT. 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 19 other files (scripts) in visualization/image-assistant of yunshu0909/yunshu_skillshub.
- SKILL.md
- examples/ai-tools-selection.md
- out/apimart.requests.example.jsonl
- scripts/README.md
- scripts/apimart.env.example
- scripts/apimart_batch_generate.py
- stages/01-brief.md
- stages/02-plan.md
- stages/03-copy.md
- stages/04-prompts.md
- stages/05-iterate.md
- templates/16x9-3cards-insights.md
- templates/16x9-5panel-comic.md
- templates/16x9-contrast-2cards.md
- templates/16x9-cover-roadmap.md
- templates/16x9-infographic.md
- … and 4 more
Open the folder on GitHubat commit da0d31f
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in yunshu0909/yunshu_skillshub, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Image Assistant 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 |
|---|---|---|---|---|---|---|
| Image Assistant this skillyunshu0909/yunshu_skillshub | 768 | 1 repos | ~536 | Automated safety check: Pass | MIT | |
| User Story Writerdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.9k | Automated safety check: Pass | Custom licence | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Convex Create Componentspokvulcan/poker-planning | 114 | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Self Improving Agentfarm-fe/farm | 5.6k | 2 repos | ~3.3k | Automated safety check: Notes | MIT |
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Game Changing Features
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Convex Create Component
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Self Improving Agent
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Issue Pool
yunshu0909/yunshu_skillshub
Issue 池全生命周期管理（开发范式 v1 规划段）。核心是一条 issue 驱动的流程：用户随手丢想法，你把糊的 issue 变成能开工的 task——产出的是“问题定义”，不是“解决方案实现”；载体就是仓库根的 ISSUES.md。五个动作：记、并、拆、转、pending。规划规模只区分 single-task（一个版本能交付）与 roadmap（需要多批滚动），不得使用…
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yunshu0909/yunshu_skillshub
把项目推送到 GitHub，三种模式自动判断：首次推送（大文件扫描 → 生成 .gitignore → git init → gh 建仓 → 推送）、日常更新（commit + push）、版本发布（打 tag + 建 Release，可附下载文件）。核心原则是安全第一：推之前必扫大文件和敏感文件，宁可多问一句也不把不该推的东西推上去。当用户说"推到GitHub""推送到GitHub""git…
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Questions about Image Assistant
What does Image Assistant do?
配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。. Image Assistant is an agent skill from yunshu0909/yunshu_skillshub.
When should I use Image Assistant?
Image Assistant fits situations like: product & Project Management work in your project.
How do I install Image Assistant in Claude Code?
Run `npx skills add yunshu0909/yunshu_skillshub --skill image-assistant -a claude-code`. Or copy the skill folder (visualization/image-assistant in yunshu0909/yunshu_skillshub) into .claude/skills/image-assistant in your project. Claude Code loads it when a task matches its description.
How do I install Image Assistant in Codex?
Run `npx skills add yunshu0909/yunshu_skillshub --skill image-assistant -a codex`. Or copy the skill folder (visualization/image-assistant in yunshu0909/yunshu_skillshub) into .agents/skills/image-assistant in your project. Codex loads it when a task matches its description.
Can I use Image Assistant 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 yunshu0909/yunshu_skillshub --skill image-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-assistant, .gemini/skills/image-assistant, .github/skills/image-assistant and .opencode/skills/image-assistant in your project.
What does Image Assistant need to run?
Going by SKILL.md and its folder, Image Assistant needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Image Assistant 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 Image Assistant 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 Image Assistant use?
Image Assistant is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image Assistant use?
About 536 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.
What are the alternatives to Image Assistant?
Skills that share tags, products or a category with Image Assistant: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Assistant?
yunshu0909 (a GitHub user) maintains it in yunshu0909/yunshu_skillshub, which has 768 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.
Source: yunshu0909/yunshu_skillshub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.