Generate publication-ready ML communication assets with grounded claims and locked render pipelines.
npx skills add https://github.com/thtskaran/claude-skills --skill ml-content
Please help me install this Agent Skill. Skill: ml-content Source: https://github.com/thtskaran/claude-skills/tree/main/ml-content Command: npx skills add https://github.com/thtskaran/claude-skills --skill ml-content
It turns dense ML research into publication-ready, audience-specific content (carousels, explainers, infographics, posters, and figures) while enforcing factual grounding and real 3D correctness.
paper-summary.md, related-work.md, discussions.md, brainstorm.md, and a project README.md to lock understanding and reuse across posts.Use ml-content to generate an Instagram carousel for a specific ML paper by providing the paper topic or arXiv ID and asking for a 10-slide package with recon, a locked 3D audit, design spec, and a grounding-ready set of claims.
High-intent search queries and answers about installing and using this skill.
To turn an ML paper into an Instagram carousel, provide the arXiv ID or topic to generate a 10-slide package with deep research recon, a locked 3D audit, design spec, and grounding-ready claims. It uses a dark, phone-readable brand system to produce publication-ready static visuals.
You can create 3Blue1Brown-style explainers using Manim by providing an ML topic to generate a structured video plan. The pipeline enforces real-3D-only visualization discipline via Manim and matplotlib 3D, producing motion explainers rendered through a locked pipeline.
Verifying citations and grounding for ML research claims requires a mandatory grounding pass that grades every checkable claim as CONFIRMED, WRONG, or UNVERIFIED against primary sources before posting. This ensures factual accuracy for public audience communication assets.
Yes, you can generate research recon summaries for ML papers through a reusable 5-file bundle. It produces paper-summary.md, related-work.md, discussions.md, brainstorm.md, and a project README.md to lock understanding and reuse across posts.
The best way to produce publication-ready infographics from arXiv papers is using a locked render pipeline that converts HTML to PDF via WeasyPrint and then to images via pdftoppm. This ensures high-fidelity, phone-readable annotation design for public audiences.
No, you do not need to manually check 3D chart correctness when visualizing ML concepts. The workflow enforces a locked 3D audit and real-3D-only visualization discipline using matplotlib 3D to avoid template slop and ensure accurate geometric representation.
arm2armAutomates fractal animation video creation synchronized with EDM audio using Manim and FFmpeg.
lofty-thoughtsCreate platform-specific social media posts, threads, carousels, and scheduling plans.
mvillmowExtract LaTeX equations from research papers and map components to code.
CUHK-AIM-GroupTranslate neuroimaging outputs into publication-ready figures and 3D meshes.