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learn-from-materials

SkillGitHubActivePython

Turn PDFs, books and papers into interactive learning webpages|将复杂材料转化为可追溯、可测验、可做笔记的学习网页

Description provenance: Original source

Open canonical source

Measured: Sep 30, 2026 · 14 observations

Source evidence

Source
GitHub
Last activity
Sep 21, 2026
observations
14

Fit to your task has not been evaluated.

Comparable readings are grouped by signal and unit.

Measured signals

Stars
752
stars
Measured · Sep 30, 2026

Momentum

momentum score
90.8
Window
7 days
Absolute change
+290
Relative change
+62.77%
Public signals
Measured

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Code assistants

Installation

git clone https://github.com/dmoshehun-prog/learn-from-materials ~/.claude/skills/learn-from-materials

Measurement history

Comparable readings are grouped by signal and unit.

14 observations

Stars

stars
Measurement history: starsSep 16, 2026: 237 stars; Sep 17, 2026: 249 stars; Sep 18, 2026: 251 stars; Sep 19, 2026: 308 stars; Sep 20, 2026: 374 stars; Sep 22, 2026: 447 stars; Sep 23, 2026: 453 stars; Sep 24, 2026: 462 stars; Sep 25, 2026: 463 stars; Sep 26, 2026: 462 stars; Sep 27, 2026: 561 stars; Sep 28, 2026: 672 stars; Sep 29, 2026: 715 stars; Sep 30, 2026: 752 stars
Time
Exact values
MeasuredPublic signals
Sep 16, 2026237 stars
Sep 17, 2026249 stars
Sep 18, 2026251 stars
Sep 19, 2026308 stars
Sep 20, 2026374 stars
Sep 22, 2026447 stars
Sep 23, 2026453 stars
Sep 24, 2026462 stars
Sep 25, 2026463 stars
Sep 26, 2026462 stars
Sep 27, 2026561 stars
Sep 28, 2026672 stars
Sep 29, 2026715 stars
Sep 30, 2026752 stars

Classifications

Nature
Resource