Creator · SpaceZephyr
Last updated · Sep 4, 2026
【公众号配图版】把公众号文章/段落拆成逻辑关系图,做成可直接放进公众号的配图。生成逻辑关系 SVG,默认输出独立 HTML(可本地预览、可截图导出 PNG),也可交给 Codex/workbuddy 内置出图模型出成图片。支持递进、流程、循环、层次、对比、矩阵六种关系。当用户给文章/段落/论述并要求生成逻辑图、关系图、配图、可视化时触发。支持中文,一次可拆多张。
Sandbox only
Install targets
Codex install prompt
Install the "space-text-logic-diagram" agent skill from https://github.com/SpaceZephyr/creator-buddy/tree/main/gzh-Skills/space-text-logic-diagram. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 【公众号配图版】把公众号文章/段落拆成逻辑关系图,做成可直接放进公众号的配图。生成逻辑关系 SVG,默认输出独立 HTML(可本地预览、可截图导出 PNG),也可交给 Codex/workbuddy 内置出图模型出成图片。支持递进、流程、循环、层次、对比、矩阵六种关系。当用户给文章/段落/论述并要求生成逻辑图、关系图、配图、可视化时触发。支持中文,一次可拆多张。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"spacezephyr-space-text-logic-diagram","task":"Install space-text-logic-diagram","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagram
Maintenance
fresh
13d since push
Risk
Safe to try
No explicit limitations section (e.g., max input length, handling of ambiguous/non-logical text, unsupported languages) or error-handling guidance.
GitHub quality
1.2K
77/100 Quality · 78/100 Trust
Coverage tags
Review notes
No explicit limitations section (e.g., max input length, handling of ambiguous/non-logical text, unsupported languages) or error-handling guidance. · The '模型出图' path depends on environment-specific capabilities (Codex image_gen, workbuddy) without a fallback if no such model is available.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 176 forks
Maintenance
13d since push
License
MIT
Install
npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagram
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagramDo not use when
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Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
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npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20space-text-logic-diagram%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20space-text-logic-diagram%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/spacezephyr-space-text-logic-diagram/install
Agent should check
Copy prompt
Task: Use space-text-logic-diagram in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20space-text-logic-diagram%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/spacezephyr-space-text-logic-diagram/install
Install command: npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagram
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/spacezephyr-space-text-logic-diagram/install
LLM text format
/api/skills/spacezephyr-space-text-logic-diagram/install?format=text
Find alternatives
/api/skills/search?q=space-text-logic-diagram&limit=3
Agent prompt
Use space-text-logic-diagram for this task. Review https://www.openagentskill.com/api/skills/spacezephyr-space-text-logic-diagram/install, then install with: npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagramRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/spacezephyr-space-text-logic-diagram
LLM text
/api/registry/manifest/spacezephyr-space-text-logic-diagram?format=text
Install alias
/api/registry/install/spacezephyr-space-text-logic-diagram
Recommend
/api/registry/recommend?task=Use%20space-text-logic-diagram%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 176 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Workflow fit
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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--- name: space-text-logic-diagram description: 【公众号配图版】把公众号文章/段落拆成逻辑关系图,做成可直接放进公众号的配图。生成逻辑关系 SVG,默认输出独立 HTML(可本地预览、可截图导出 PNG),也可交给 Codex/workbuddy 内置出图模型出成图片。支持递进、流程、循环、层次、对比、矩阵六种关系。当用户给文章/段落/论述并要求生成逻辑图、关系图、配图、可视化时触发。支持中文,一次可拆多张。 license: MIT metadata: version: "1.1" author: Text Logic Diagram Skill ---
# 文本逻辑关系图
将文本转换为精准的逻辑关系 SVG 图,输出为独立 HTML 文件。
## 公众号配图适配
**定位**:公众号配图工具。用户给一段内容(文章 / 段落 / 论述),你把它的逻辑拆成图,做成可直接放进公众号的配图。
**两种出图方式**: - **HTML 出图(本 Skill 主路径)**:生成自包含 HTML(内含 SVG),可本地预览;要图片时对预览截图导出 PNG。 - **模型出图**:把拆好的逻辑结构 + 风格描述交给当前环境内置出图模型出 PNG——Codex 用内置 `image_gen`/`image2`,workbuddy 用其出图模型。适合要「手绘/插画感」而非精确 SVG 时。
**公众号常用尺寸**:正文配图 16:9 或 3:2|方图 1:1|头图 2.35:1。生成 HTML 时画布按此比例。
**输出**:默认存用户图片目录,命名 `MMDD-主题.html` 或 `.png`。
## 触发条件
当用户提到以下场景时,主动使用此技能: - "生成逻辑图" / "画逻辑关系图" / "文本转图" - "逻辑拆解" / "拆成图" / "可视化" - 用户粘贴了文章/段落/论述内容并要求分析逻辑 - "递进图" / "流程图" / "循环图" / "层次图" / "对比图" / "矩阵图" - 用户要求对文本进行结构化可视化
## 工作流程
### 第一步:文本分析
1. **通读全文**,识别文本中的核心论点、关键概念和逻辑链条 2. **段落拆解**,将文本按自然段落或逻辑段落分割 3. **判断关系类型**,为每个段落选择最适合的逻辑关系:
| 关系类型 | 适用场景 | 视觉特征 | |---------|---------|---------| | 递进关系 | 概念渐进发展、层层深入 | 阶梯式排列,箭头从左到右或从上到下 | | 流程关系 | 步骤顺序、阶段推进 | 线性/蛇形排列,带编号的节点 | | 循环关系 | 概念循环往复、闭环反馈 | 环形排列,首尾相连 | | 层次结构 | 包含、从属、分类关系 | 树形/金字塔/嵌套结构 | | 对比关系 | 对照、比较、优劣分析 | 左右/上下对称排列 | | 矩阵关系 | 多维度交叉、复杂关联 | 网格/象限布局 |
### 第二步:概念抽象
1. **提取关键词**:从每个段落中提取 2-6 个核心概念 2. **精简文字**:每个概念节点文字控制在 15 字以内 3. **标注关系**:概念之间的连接线和箭头标注简要说明 4. **分层整理**:区分主要概念和次要概念
### 第三步:生成 SVG 图
根据分析结果,使用本技能的设计规范生成 HTML 文件。
**多段拆解规则:** - 当文本包含多个独立逻辑段落时,生成多张 SVG 图 - 每张图使用独立的 `<div class="diagram-card">` 容器 - 每张图上方标注段落标题或逻辑类型 - 所有图按顺序排列在同一 HTML 文件中
## 设计系统
### 主题系统
支持深色和浅色主题切换,默认深色。
#### 深色主题(默认)
融合 Cursor 暖色深底 + Claude 赭石强调色。告别冷蓝色调。
| 元素 | 颜色 | |------|------| | 页面背景 | `#141413` (温暖近黑) | | 卡片背景 | `#1a1a18` | | 节点填充主色 | `#1e1e1c` → `#282825` | | 节点描边 | `#7a6e5e` (暖棕) | | 主文字 | `#faf9f5` (Ivory 暖白) | | 副文字 | `#b0aea5` (暖银) | | 连接线 | `rgba(38, 37, 30, 0.35)` | | 箭头 | `#8a8377` | | 强调色 | `#7a6e5e` (暖棕), `#c96442` (赭石) |
#### 浅色主题
融合 Claude 羊皮纸 + Cursor 暖面。
| 元素 | 颜色 | |------|------| | 页面背景 | `#f5f4ed` (羊皮纸) | | 卡片背景 | `#faf9f5` (Ivory) | | 节点填充主色 | `#ebe9e2` → `#e0ddd4` | | 节点描边 | `#8a7e6e` (暖棕) | | 主文字 | `#141413` (暖近黑) | | 副文字 | `#5e5d59` (橄榄灰) | | 连接线 | `#c8c5bc` | | 箭头 | `#8a8377` | | 强调色 | `#8a7e6e` (暖棕), `#c96442` (赭石) |
### 字体规范
- 全局使用 JetBrains Mono 等宽字体 - 节点标题:14px,font-weight 600 - 节点子标签:11px,font-weight 400 - 连接线标注:10px - 段落标题:16px,font-weight 700 - 图例文字:10px
### SVG 规范
#### 通用规范
- **画布尺寸**:每张图 viewBox `0 0 800 500`,按需调整 - **内边距**:上下左右各留 40px - **箭头标记**:小巧箭头,线宽 1 - **阴影效果**:轻微阴影 `dx=1.5, dy=1.5, stdDeviation=2`
#### 节点样式
```svg <!-- 带阴影的圆角矩形节点 --> <rect x="X" y="Y" width="W" height="H" rx="8" class="svg-node" stroke="#7a6e5e" stroke-width="1.5" filter="url(#shadow)"/> <text x="CX" y="CY" class="svg-text-primary" font-size="14" font-weight="600" text-anchor="middle">概念名称</text> ```
#### 连接线样式
```svg <!-- 标准连接线 --> <line x1="X1" y1="Y1" x2="X2" y2="Y2" class="svg-line" stroke-width="1" marker-end="url(#arrow)"/>
<!-- 虚线连接(表示弱关系/隐含关系) --> <line x1="X1" y1="Y1" x2="X2" y2="Y2" class="svg-line" stroke-width="1" stroke-dasharray="4,3" marker-end="url(#arrow)"/>
<!-- 曲线连接(避开障碍物) --> <path d="M X1 Y1 Q CX CY X2 Y2" class="svg-line" stroke-width="1" fill="none" marker-end="url(#arrow)"/> ```
### 关系类型视觉规范
#### 递进关系
- 从左到右阶梯式排列 - 节点逐渐升高或尺寸逐渐增大 - 箭头方向统一向右 - 可用编号标注顺序(①②③) - 每层之间用浅色背景区分层级
#### 流程关系
- 线性排列或蛇形排列(超过 4 个节点时折行) - 每个节点带步骤编号(圆形徽章) - 连接线使用实线箭头 - 起始节点用深色强调,结束节点用特殊样式 - 分支点使用菱形节点
#### 循环关系
- 环形排列,首尾相连 - 中心可放置核心概念 - 连接线沿环形方向 - 使用弧线连接而非直线 - 箭头指向下一个节点
#### 层次结构
- 树形结构:根节点在上,子节点在下 - 或金字塔结构:底部宽,顶部窄 - 同级节点水平对齐 - 父子关系用竖线连接 - 可用嵌套矩形表示包含关系
#### 对比关系
- 左右对称布局 - 中间用竖线或 VS 分隔 - 左侧和右侧使用不同色调(如蓝色 vs 橙色) - 共同点放在中间或上方 - 差异点分列两侧
#### 矩阵关系
- 网格布局(2×2、3×3 等) - 行列表头标注维度 - 每个单元格内放置概念 - 象限式分区(用浅色背景区分) - 对角线关系用特殊颜色标注
### 页面布局
1. **页眉** - 标题 + 源文本简述 + 主题切换按钮 2. **概览卡片** - 显示检测到的关系类型和概念数量 3. **图表区域** - 多张 SVG 图按顺序排列,每张图带标题标签 4. **页脚** - 元数据
### 多图排列模板
```html <div class="diagram-card"> <div class="diagram-label"> <span class="label-tag">递进关系</span> <span class="label-title">第一段:XXX 的渐进发展</span> </div> <div class="diagram-body"> <svg class="diagram-svg" viewBox="0 0 800 500"> <!-- SVG 内容 --> </svg> </div> </div> ```
## 中文适配规则
- 节点文字使用中文,技术术语保留英文 - 中文字符宽度约为英文 2 倍,节点宽度按 14px × 字数 × 0.7 估算 - 概念名称控制在 2-10 个汉字 - 连接线标注使用 4-8 个汉字
## 输出要求
始终生成一个独立的 `.html` 文件,包含: - 内嵌 CSS(含主题变量) - 多张内联 SVG(按段落拆分) - 少量 JavaScript 用于主题切换 - 文件可直接在浏览器中打开
Source provenance
Decision snapshot
1,155 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for space-text-logic-diagram, ready for a manual X post.
space-text-logic-diagram: 【公众号配图版】把公众号文章/段落拆成逻辑关系图,做成可直接放进公众号的配图。生成逻辑关系 SVG,默认输出独立 HTML(可本地预览、可截图导出 PNG),也可交给 Codex/wor... 1.2K stars https://www.openagentskill.com/skills/spacezephyr-space-text-logic-diagram?ref=x
Listing + install path for space-text-logic-diagram: https://www.openagentskill.com/skills/spacezephyr-space-text-logic-diagram?ref=x Install: npx skills add SpaceZephyr/creator-buddy --skill space-text-logic-diagram
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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no high-risk permission surface in public metadata
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Docs
Usable metadata, review docs
Risk summary
Install readiness