CD teaching-knowledge-visualizer
帮助教师将知识点、章节内容、教材文本转化为可视化教学材料，并生成可课堂投影的交互式 HTML 页面。当教师需要"知识可视化"、"梳理知识结构"、 "画概念图/思维导图/流程图/时间轴/对比表/函数图像/示意图"、"复习提纲可视化"、"板书设计"、"知识框架图"、"章节总结图"时使用。支持概念关系图、思维导图、流程图、时间轴、对比矩阵、层级分类图、 循环过程图、因果鱼骨图、知识地图等九种可视化形式；知识点含数学函数图像或地理/物理示意图时自动拆分输出"图文讲解主页＋交互图像页"两个 HTML（拖拽平移、滚轮缩放、滑块实时调参、多子图标签切换）；知识结构总览以单画布完整同屏呈现全部知识点（初始无重叠遮挡，支持鼠标滚轮缩放与拖拽平移查看整体/局部）；典型示例先题后答（点题展开、再点收起）；定义/公式/对比辨析表格逐格点击按需展示。页面含定义/公式/典型示例/易错点/常见变式与互动自测，知识点对照区随滚动自然移动不遮挡；图谱与示例渲染前后自动对照内置知识库自检、错误高亮并阻断展示；交互图像按 ≥2× 高清渲染、坐标轴/图例/比例尺等符合制图规范，动态图像与过渡动画 60fps 流畅无卡顿；动态矢量图采用 Canvas 2D 渲染、以最大模长实时比例尺并防截断（超限箭头截断且标注真实模长）、画布随窗口自适应，物理/数学公式与数值自检（典型场景误差<0.5%），知识结构总览单击节点展开完整释义（含公式与文字）；互动自测即时反馈（≤100ms、绿✔红✘双标识+“回答正确/错误”明确文字、无论对错必显含数值/单位/推导步骤的规范标准答案、键盘可达）；公式/变量/单位按 ISO 80000 学术规范排版（变量斜体、上下标规范、无 ^ 文本幂写法），交付前执行“自检→修改→再自检”强制迭代并附“自检通过说明”；HTML 内全部数字以 Times New Roman 正体呈现、数学/物理公式由公式引擎（MathML/LaTeX，离线降级原生 MathML）生成；自检静默（页面不显示任何“自检通过/未通过”字样，仅后台记录），每项内容自检未通过即修改复检直至全部通过后交付；知识结构总览节点数量不设上限（内容完整优先）、节点与连线标签字号加大保证投影可读，总览中每个节点单击均可展开完整释义（含公式与文字）；总览图与交互图像页保证零重叠、零越界，多条曲线/矢量用高区分度配色并叠加线型/图例双编码；分数一律竖式分式排印（如 \frac{2}{15}，无斜线文本分数；分式内部数字/符号与正文同字体同号同重，含分式行加大行距防重叠）；知识结构总览分支均匀展开、扁平化浅底深字、圆角节点、连线带箭头（直线或平滑曲线）、同层对齐等距，大图支持多级折叠/分层钻取与滚动视图，英文/数字对齐场景用等宽字体；仅当教师明确要求时才提供同源 Mermaid/PlantUML/Markdown 图谱源码。正文≥20px 教室后排可读，默认零外部依赖、U 盘双击即开。适用于中小学及高校各学科教师备课、课堂讲授、单元复习与学生自学。
帮助教师将知识点、章节内容、教材文本转化为可视化教学材料，并生成可课堂投影的交互式 HTML 页面。当教师需要"知识可视化"、"梳理知识结构"、…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1260 chars, limit 1024 - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 6213 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "show_name"
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 70Execution cost. Instruction body is 6213 tokens
- 100Tools and files. No external tools needed
- 100Steps. 187 steps
- 100Consistency. Name and required fields are in place
- low The response is described with custom markup (13 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1260: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +4Structure: 31 headings
- +3Step-by-step instructions: 187 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 36.