GitHub Trending Top 10 Deep Dive — June 11, 2026
Today's trending list is entirely made up of Agent Skills, AI tools, and framework infrastructure — not a single purely entertainment-focused project. That itself signals the GitHub community's current focus: making AI work better.
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1. mvanhorn/last30days-skill — Cross-platform AI search skill
A cross-platform search skill for AI agents supporting multi-source data aggregation. Install: npx skills add mvanhorn/last30days-skill -g.
Key insight: Search is shifting from "humans finding information" to "agents finding information"; skill-based packaging is the trend.
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2. harry0703/MoneyPrinterTurbo — One-click short video generation
Fully automated video pipeline: script → voiceover → subtitles → footage. Supports OpenAI, Azure, Moonshot, Ollama, DeepSeek, and more.
Requirements: Python 3.10+, Pexels/OpenAI API keys.
Key insight: The barrier to content creation has dropped to zero, but the quality ceiling depends on the footage library and model capability.
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3. apple/container — Lightweight containers on Apple Virtualization
VM-level containers built on the Apple Virtualization framework — not traditional Docker. Lightweight, secure, native macOS integration.
Key insight: Apple is building its own container ecosystem, bypassing Docker's Linux heritage.
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4. obra/superpowers — Claude Code skill library
A comprehensive skill library covering testing (TDD, async testing), debugging, collaboration (brainstorming, code review), and development (Git worktrees, sub-agent workflows).
Philosophy: TDD-first, systematic rather than ad-hoc, simplification first, evidence over claims.
Supported platforms: Claude Code, Codex CLI, Gemini CLI, OpenCode, Factory Droid.
Key insight: AI coding assistants need "discipline" — skill libraries are frameworks that enforce it.
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5. addyosmani/agent-skills — 23 production-grade engineering skills
Full lifecycle coverage: Define → Plan → Build → Verify → Review → Ship.
Key skills:
- interview-me: requirements clarification (stop at 95% confidence)
- spec-driven-development: spec-driven development
- incremental-implementation: incremental implementation (vertical slices)
- test-driven-development: red-green-refactor
- doubt-driven-development: doubt-driven (CLAIM → EXTRACT → DOUBT → RECONCILE → STOP)
- security-and-hardening: OWASP Top 10 prevention
Key insight: Google's internal engineering practices packaged as AI-executable instruction sets.
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6. roboflow/supervision — Model-agnostic CV toolkit
Not a model — a toolkit. Dataset loading, bounding box drawing, video annotation, zone counting, tracking.
Connectors: Ultralytics YOLO, Transformers, MMDetection, Roboflow Inference.
Install: pip install supervision (Python ≥ 3.9).
Key insight: Computer vision is layering — model layer (YOLO/SAM) + tool layer (Supervision), with the latter being more stable.
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7. google/skills — Official Google Agent Skills
Official skill library for Google products and technologies, including Gemini API on Agent Platform and Google Cloud skills.
Install: npx skills add google/skills.
Status: Actively developed.
Key insight: Google is finally systematizing agent capabilities rather than shipping scattered APIs.
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8. refactoringhq/tolaria — Tauri/Rust cross-platform framework
A cross-platform development framework built on Tauri (Rust + web frontend). Involves technical points such as Linux ARM64 adaptation.
Key insight: Tauri is challenging Electron's dominance; Rust + web is becoming the default choice for next-generation desktop apps.
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9. maziyarpanahi/openmed — Local-first medical AI
1000+ biomedical models running locally, HIPAA-grade data de-identification, MLX acceleration (Apple Silicon). Apache-2.0 license.
Key insight: Medical data never leaves the premises + local large models = dual guarantees of compliance and performance. This is medical AI's practical deployment form.
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10. phuryn/pm-skills — Product management skills
68 skills + 42 commands: an operating system for product management workflows. In-depth analysis published at https://zhichai.net/t/177981055
Key insight: PM work is being systematized and skill-ified, just like engineering workflows.
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Summary: Three Trends
1. Skills-ification: Every workflow is being packaged into reusable Agent Skills (23 engineering skills, PM skills, search skills). 2. Cross-platform: The same skill set works across Claude Code / Codex / Gemini / OpenCode (superpowers, agent-skills). 3. Vertical deployment: Medicine (OpenMed), video (MoneyPrinterTurbo), computer vision (Supervision) — general models + vertical tools.
GitHub trending is no longer a showcase of "cool projects" — it's the iteration of "productivity infrastructure."