面向 AI Agents 的单色数据可视化 Skill，将数据快速生成精致、可交互的 HTML 图表
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 42/100. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if lieflat-charts belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/larashero3-dotcom/lieflat-chartsRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/larashero3-dotcom/lieflat-chartsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ lieflat-charts/ ← installs here └─ settings.json
面向 AI Agents 的单色数据可视化 Skill，将数据快速生成精致、可交互的 HTML 图表
Source: GitHub repository
Source check: July 24, 2026
Upstream commit: July 24, 2026
Repository state: Not marked archived
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