Claude
Skill
lov-professional-infographic
Create evidence-led consulting infographics with editable HTML/SVG, high-resolution
Virus-scanned
Reviewed automatically before listing.
Download
lovstudio-skills-skills_professional-infographic-0b16007.zip · 2105 KB
Install
skills CLI
npx skills add https://github.com/lovstudio/skills/tree/main/skills/professional-infographic
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install lovstudio-skills@llmmart
Git
git clone https://github.com/lovstudio/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole lovstudio/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
专业信息图 · Professional Infographic
This skill's real instructions are encrypted. To use it, decrypt them first:
uvx lovstudio-skill-helper decrypt professional-infographic
What to do:
- Run the command above.
- The output is the actual SKILL.md for professional-infographic. Read it as if it were these instructions, and follow it to the letter.
- If the command prints
error: not activatedorerror: not logged in, tell the user:这是一个 Lovstudio 付费 skill,请先激活(CLI 会打开浏览器让你登录,然后绑定你的 license key):
npx lovstudio license <your-license-key>还没有 license key?前往 https://lovstudio.ai 购买,或关注 #公众号:手工川 购买。
- If the command prints
error: not entitled, the helper will interactively prompt the user to (a) enter a license key, (b) open the purchase page, or (c) cancel. Just let the user pick. - If the command prints
error: skill 'professional-infographic' not installed, the encrypted bundle isn't on disk yet. Tell the user:npx lovstudio skills add professional-infographic # recommended: also checks deps npx skills add lovstudio/skills --skill professional-infographic # raw alternative - Do NOT cache the decrypted output between invocations — always re-decrypt on each use. The decryption is cheap (one HTTP round-trip) and re-running guarantees the user's license is still valid.
- If the decrypted SKILL.md references additional files (e.g.
references/workflow.md,assets/...), DO NOT use theReadtool on them — those paths only exist on disk as encrypted.encblobs. Instead, decrypt each one on demand by passing its relative path as a second argument:
Requires lovstudio-skill-helper ≥ 0.9.0. Earlier versions only decrypt SKILL.md.uvx lovstudio-skill-helper decrypt professional-infographic references/workflow.md
The encrypted payload lives in one of:
~/.claude/skills/professional-infographic/~/.claude/skills/lovstudio-professional-infographic/You don't need to touch it directly — just calluvx lovstudio-skill-helper decrypt professional-infographic [<rel_path>].
Files (skills)
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assets
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templates
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comparison-matrix.html.enc 4.9 KB · in bundle
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decision-tree.html.enc 4 KB · in bundle
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driver-tree.html.enc 3.5 KB · in bundle
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operating-model.html.enc 3.9 KB · in bundle
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positioning-map.html.enc 4.1 KB · in bundle
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roadmap.html.enc 3.4 KB · in bundle
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small-multiples.html.enc 3.1 KB · in bundle
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waterfall.html.enc 3.8 KB · in bundle
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brand-profile.template.json.enc 439 B · in bundle
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poster-template.html.enc 6.2 KB · in bundle
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shougongchuan-logo.png.enc 37.9 KB · in bundle
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cases
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assets
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mobile-cross-platform-comparison-matrix.png 479.1 KB · in bundle
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mobile-cross-platform-positioning-map.png 298.9 KB · in bundle
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sun-ge-emotional-economics-timeline-money.png 360.7 KB · in bundle
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cases.json 5.1 KB
[ { "type": "case", "title": "尹方鸣的宇树投资阶梯:200万元如何走到约2.91亿元", "titleEn": "Yin Fangming's Unitree investment staircase: RMB 2m to about RMB 291m", "description": "将2016—2026年的进入、两次对外出售、持股载体迁移、融资稀释与IPO剩余价值放在同一条估值阶梯上;用现金回收桥区分已实现收益和未实现持仓,并明确2020年名义转让不是真实退出。3200×1800 PNG 严格审计 100/100。", "descriptionEn": "Places the 2016–2026 entry, two external sales, vehicle migration, financing dilution, and IPO residual value on one valuation staircase. The return bridge separates realized cash from the remaining position and does not misclassify the 2020 nominal transfer as an exit. The 3200×1800 PNG passed strict audit at 100/100.", "cover": "https://lovstudio.ai/images/skills/professional-infographic/yin-fangming-unitree-investment-staircase.png", "input": { "label": "输入", "text": "量子位文章与宇树科技招股书、审计报告、上市公告等公开披露。" }, "output": { "label": "交付", "items": [ "可编辑 HTML/SVG 与 3200×1800 PNG", "进入、出售、载体迁移、稀释和IPO的分类事件账本", "已实现现金、剩余持仓与145.5倍简单总价值的可复算桥" ] } }, { "type": "case", "title": "同一份跨端选型材料,重构成两张咨询 Exhibit", "description": "不再用卡片墙总结文字,而是分别构造成决策矩阵与双轴定位图:决策矩阵采用主题标题与尾部建议,定位图保留结论型行动标题;同维比较、轴端与区域、直接标注、决策规则、来源和限定完整保留。两张 3200×1800 PNG 均通过严格审计、原图与缩略图人工复核。", "cover": "https://cdn.jsdelivr.net/gh/lovstudio/skills@main/skills/professional-infographic/cases/assets/mobile-cross-platform-comparison-matrix.png", "gallery": [ "https://cdn.jsdelivr.net/gh/lovstudio/skills@main/skills/professional-infographic/cases/assets/mobile-cross-platform-positioning-map.png" ], "input": { "items": [ "同一份包含 React Native、Flutter、KMP、uni-app / Taro 与 Capacitor 的跨端选型材料" ] }, "prompt": "不要用卡片墙总结文字;分别重构成决策矩阵与双轴定位图。", "output": { "items": [ "3200×1800 跨端选型决策矩阵 PNG", "3200×1800 跨端路线双轴定位图 PNG", "两张成品均通过严格审计、原图与缩略图人工复核" ] } }, { "id": "sun-ge-emotional-economics-timeline-money", "type": "case", "title": "《孙割情感经济学》:时间 × 金钱的叙事金额轨迹", "titleEn": "Sun Ge Emotional Economics: a time × money narrative trail", "description": "将一篇明确标注“纯属虚构”的公开叙事材料中的 8 个金额锚点按事件时间重排,以人民币等值对数轴同时保留 150 元与 3.5 亿元的可读性,并用形状区分声称发生的支出、参照金额、持续区间和未支付要求。最终 3200×1800 信息图通过严格审计与原图、缩略图人工复核。", "descriptionEn": "Reframed eight money anchors from a public narrative explicitly labeled fictional onto an event-time axis and a logarithmic CNY-equivalent scale. Shape distinguishes claimed outflows, reference amounts, recurring ranges, and an unpaid demand. The 3200×1800 infographic passed strict audit and full-size plus thumbnail review.", "cover": "https://cdn.jsdelivr.net/gh/lovstudio/skills@main/skills/professional-infographic/cases/assets/sun-ge-emotional-economics-timeline-money.png", "input": { "items": [ "公开且明确标注“纯属虚构”的叙事文本", "用户对第一版结构的校正:横轴是时间,纵轴是金钱" ] }, "prompt": "标题《孙割情感经济学》;横轴是时间,纵轴是金钱。", "output": { "items": [ "可编辑 HTML/SVG 与 3200×1800 PNG", "2011—2026 年 8 个金额锚点的时间 × 金钱坐标图", "人民币等值 log 刻度、币种换算假设、事件类型图例与虚构边界", "严格审计 0 错误、0 警告,质量代理 98/100" ] }, "evidence": { "acceptance": "user-confirmed", "verified_at": "2026-08-29", "method": "在 3200×1800 原图与 640px 缩略图完成视觉回读;机器严格审计为 0 错误、0 警告,质量代理 98/100。", "privacy": "公开摘要不含凭据、私人绝对路径或原始会话正文;叙事金额均标明其文本性质,完整 Session 由 lov-share-session 规范化和脱敏后付费提供。", "artifact_type": "visual" }, "session": { "url": "https://lovstudio.ai/yoda/session/yss_qgRDW8zK9Qk8N_cRs8BXQbRm2oedplhwiVGcOySSs2w?detail=concise", "access": "paid", "priceCredits": 14, "pricingRule": "ceil(target-skill-price/10)", "targetSkill": "lov-professional-infographic" } } ] -
cases.json.enc 1.8 KB · in bundle
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examples
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mobile-cross-platform-selection-v2
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comparison-matrix
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audit.json.enc 1.7 KB · in bundle
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brief.md.enc 4.6 KB · in bundle
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poster.html.enc 15.5 KB · in bundle
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poster.png.enc 479.1 KB · in bundle
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project.json.enc 575 B · in bundle
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source.md.enc 3.1 KB · in bundle
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positioning-map
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audit.json.enc 1.7 KB · in bundle
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brief.md.enc 2.8 KB · in bundle
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poster.html.enc 11.6 KB · in bundle
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poster.png.enc 298.9 KB · in bundle
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project.json.enc 497 B · in bundle
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source.md.enc 3.1 KB · in bundle
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references
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capital-journey.md.enc 5.1 KB · in bundle
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consulting-standard.md.enc 8.4 KB · in bundle
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exhibit-benchmark.md.enc 3.8 KB · in bundle
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hybrid-rendering.md.enc 2.1 KB · in bundle
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spec-schema.md.enc 4.3 KB · in bundle
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user-config.md.enc 2.4 KB · in bundle
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visual-grammar.md.enc 6.4 KB · in bundle
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scripts
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infographic_cli.py.enc 65.7 KB · in bundle
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test_infographic_cli.py.enc 8.3 KB · in bundle
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.gitignore.enc 78 B · in bundle
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CHANGELOG.md.enc 3.8 KB · in bundle
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LICENSE.enc 1 KB · in bundle
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MANIFEST.enc.json 9.8 KB
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README.md.enc 8 KB · in bundle
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SKILL.md 2.5 KB
--- name: lov-professional-infographic description: Create evidence-led consulting infographics with editable HTML/SVG, high-resolution PNG, source linkage, and strict QA. Use when the user asks for a professional infographic or Exhibit. version: 0.5.0 --- # 专业信息图 · Professional Infographic This skill's real instructions are encrypted. To use it, decrypt them first: ```bash uvx lovstudio-skill-helper decrypt professional-infographic ``` **What to do:** 1. Run the command above. 2. The output is the actual SKILL.md for professional-infographic. Read it as if it were these instructions, and follow it to the letter. 3. If the command prints `error: not activated` or `error: not logged in`, tell the user: > 这是一个 Lovstudio 付费 skill,请先激活(CLI 会打开浏览器让你登录,然后绑定你的 license key): > ``` > npx lovstudio license <your-license-key> > ``` > 还没有 license key?前往 https://lovstudio.ai 购买,或关注 #公众号:手工川 购买。 4. If the command prints `error: not entitled`, the helper will interactively prompt the user to (a) enter a license key, (b) open the purchase page, or (c) cancel. Just let the user pick. 5. If the command prints `error: skill 'professional-infographic' not installed`, the encrypted bundle isn't on disk yet. Tell the user: > ``` > npx lovstudio skills add professional-infographic # recommended: also checks deps > npx skills add lovstudio/skills --skill professional-infographic # raw alternative > ``` 6. Do NOT cache the decrypted output between invocations — always re-decrypt on each use. The decryption is cheap (one HTTP round-trip) and re-running guarantees the user's license is still valid. 7. If the decrypted SKILL.md references additional files (e.g. `references/workflow.md`, `assets/...`), DO NOT use the `Read` tool on them — those paths only exist on disk as encrypted `.enc` blobs. Instead, decrypt each one on demand by passing its relative path as a second argument: ```bash uvx lovstudio-skill-helper decrypt professional-infographic references/workflow.md ``` Requires lovstudio-skill-helper ≥ 0.9.0. Earlier versions only decrypt SKILL.md. The encrypted payload lives in one of: - `~/.claude/skills/professional-infographic/` - `~/.claude/skills/lovstudio-professional-infographic/` You don't need to touch it directly — just call `uvx lovstudio-skill-helper decrypt professional-infographic [<rel_path>]`. -
SKILL.md.enc 13.5 KB · in bundle
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skill.yaml.enc 863 B · in bundle
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