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10 Fresh GitHub Agent Skills Added in June 2026
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10 Fresh GitHub Agent Skills Added in June 2026

June 15, 20267 min read

Why This List Is Different

GitHub is now full of agent-skill repositories, but many of the most visible projects are not actually individual skills. Some are marketplaces, awesome lists, registry tools, skill managers, or broad catalogs.

For this update, we filtered for three things:

  1. Recent GitHub activity in 2026
  2. Clear popularity signal from stars
  3. No existing match in the DiscoverAISkills catalog by repo URL, slug, name, or strong functional overlap

The result is a compact list of skills that are more useful to add to a directory than another generic collection page.

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1. Nature Skills

Nature Skills focuses on academic writing and scientific figure generation in the style expected by high-end research publishing. It is useful for researchers who want agents to produce clearer paper language, better figure explanations, and more publication-oriented outputs.

Best for: academic writing, paper polishing, scientific visuals

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2. Codebase to Course

Codebase to Course turns a repository into an interactive single-page course. This is a useful pattern for onboarding, technical education, and explaining product architecture to non-technical stakeholders.

Best for: codebase education, onboarding, internal documentation

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3. Ian Xiaohei Illustrations

This Chinese-first illustration skill generates a recognizable white-background hand-drawn style for articles, explainers, and social posts. It stands out because it gives agents a concrete visual direction instead of asking for generic editorial graphics.

Best for: Chinese content, blog illustrations, editorial visuals

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4. Nothing Design Skill

Nothing Design Skill gives Claude Code a specific UI aesthetic: monochrome, typographic, industrial, and hardware-inspired. Skills like this are valuable because they encode taste and constraints, not just a list of CSS preferences.

Best for: frontend UI, design systems, visual style control

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5. Paperasse

Paperasse is a French bureaucracy skill set for AI agents. It is a strong example of localized workflow knowledge: accounting, administrative paperwork, and professional document handling in a specific country context.

Best for: French administrative workflows, paperwork, localized professional tasks

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6. VideoCut Skills

VideoCut Skills moves beyond text generation into creator workflows. It targets agent-assisted video editing and preparation, which is increasingly important as coding agents become general production agents.

Best for: video editing, creator workflows, media preparation

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7. AWS Agent Skills

AWS Agent Skills packages cloud-specific context for AI agents. Generic DevOps prompting is often too broad; focused AWS skills help agents reason about infrastructure, services, and cloud operations with better defaults.

Best for: AWS projects, cloud operations, infrastructure assistance

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8. Ian Handdrawn PPT

Ian Handdrawn PPT generates Chinese hand-drawn technical presentation visuals, including wide covers and body-slide illustrations. This is a good fit for technical creators who need slide imagery that looks designed rather than stock-generated.

Best for: technical talks, Chinese PPTs, presentation visuals

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9. Claude fuer deutsches Recht

This German law skill collection covers areas such as labor law, corporate law, insolvency, data protection, procedure, and AI regulation. It is experimental and not legal advice, but it is a useful localized legal-workflow skill.

Best for: German legal workflows, compliance research, document review

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10. Ni Haisha TCM Skill

Ni Haisha TCM Skill helps agents work with traditional Chinese medicine course material: course lookup, formula-pattern reasoning, acupoint references, notes, and screenshot-backed indexing.

Best for: Chinese medicine study, course notes, structured learning

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What We Excluded

We intentionally excluded marketplace-style and directory-style projects, even when they had high star counts. That includes awesome lists, registry tools, skill managers, generic catalogs, and projects already represented in the catalog under the same or very similar function.

This keeps the catalog focused on usable skills rather than lists of lists.

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