Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
Deep Reading Analyst guides readers through a systematic analysis of articles, papers, and long-form content using more than ten thinking frameworks. Instead of passive reading, the user selects a goal—learning, problem-solving, decision-making, or writing—and a depth level, then works through frameworks like SCQA, inversion, mental models, and systems thinking to uncover structure, evaluate arguments, and generate actionable outputs. It is designed for knowledge workers, researchers, students, and strategists who need their reading to produce more than highlights.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Article content or an article link replacing `[paste the article content or article link here]`
Use the deep-reading-analyst skill in Level 1 quick mode to give me a structured summary of this article's core points: [paste the article content or article link here].
Research-paper content replacing `[paste the paper content here]`
Use the deep-reading-analyst skill to critically analyze this research paper: [paste the paper content here]. Focus on argument rigor, evidence sufficiency, and logical flaws.
Article content replacing `[paste the article content here]`
Relevant details about your work or application context
Use the deep-reading-analyst skill to analyze this article: [paste the article content here]. Extract the three most valuable methods, design a concrete plan for applying them in my work, and list likely obstacles with possible solutions.