GitHub Hot — 16 May 2026

Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.

1. FULU-Foundation/OrcaSlicer-bambulab

5,142 stars this week · C++

A fork of OrcaSlicer that restores full BambuNetwork cloud connectivity for Bambu Lab printers after Bambu Lab's controversial 2025 authentication changes broke third-party slicer access.

Use case

In early 2025, Bambu Lab announced mandatory cloud authentication changes that stripped LAN-mode printing from all third-party slicers — meaning owners of $1,000+ X1C and P1S machines suddenly couldn't print remotely via OrcaSlicer. This fork patches back the BambuNetwork plugin so users regain internet-based print queuing, camera monitoring, and AMS control without reverting to Bambu's own slicer. Concrete scenario: a maker with an X1C on their home network wants to send a print job from work — official OrcaSlicer now blocks this; this fork restores it.

Why it's trending

The Bambu Lab authentication controversy triggered one of the biggest open-source hardware community revolts of 2025 — Reddit threads hit six-figure upvotes and resale values dropped overnight. This repo is spiking because it's the cleanest working solution that doesn't require downgrading firmware or staying permanently on LAN-only, and word is spreading through maker YouTube and Discord servers.

How to use it

Windows only: enable WSL 2 first — run the two dism.exe commands from an elevated PowerShell, then restart.,2. Download the latest release from the repo's Releases page and run the installer (Orca Studio).,3. On first launch, sign in with your Bambu Lab account credentials — BambuNetwork auth is restored so the same login that works on the official app works here.,4. Add your printer via the Device tab; it discovers over cloud just like Bambu Studio does, not LAN broadcast.,5. Slice normally and hit Print — the job routes through BambuNetwork, AMS mapping and camera feed included. No firmware changes needed on the printer side.

How I could use this

Write a deep-dive post titled 'What the Bambu Lab Lockdown Teaches Us About Owning Your Hardware' — this is high-traffic maker/dev crossover content that ranks for both '3D printing' and 'open source hardware rights' keywords, drives backlinks from Hackaday/Reddit, and positions Henry as a thoughtful tech commentator rather than just another dev blog.
Build a 'Vendor Lock-in Risk Scorer' career tool — paste in a job description or tech stack and Claude scores how exposed that role is to proprietary platform risk (AWS lock-in, Bambu-style API revocations, etc.), with an ANZSCO-aware angle for Australian visa applicants evaluating employer stability.
Create an AI 'API Deprecation Impact Analyzer' micro-tool: user pastes a vendor changelog or deprecation notice, Claude extracts what breaks, generates a migration checklist, and estimates engineering hours — directly applicable to the 485/482 visa audience who need to demonstrate proactive technical risk management skills in interviews.

2. Nightmare-Eclipse/YellowKey

2,739 stars this week · various

YellowKey Bitlocker Bypass Vulnerability

Use case

YellowKey Bitlocker Bypass Vulnerability

Why it's trending

How to use it

How I could use this

3. nexu-io/html-anything

2,409 stars this week · HTML · agent-skills agentic ai-agents ai-design

An agentic HTML editor that uses whichever AI CLI you're already logged into (Claude Code, Cursor, Codex, etc.) to turn markdown into polished, export-ready HTML across 9 visual surfaces — zero new API keys required.

Use case

The gap it closes: you have well-researched markdown content but no time to hand-write CSS or open Figma. Example — Henry drafts a '485 visa extension checklist' post in markdown, opens html-anything, picks the 'magazine article' skill, and gets back a publication-quality HTML page in 30 seconds that he can export as a PNG for LinkedIn or drop straight into his blog. The same workflow produces XHS cards, keynote-style decks, and data reports without touching a design tool.

Why it's trending

The 'zero API key' angle hit a nerve this week — it reuses the Claude Code OAuth session you already have running, making the barrier to try it literally zero. The vibe-coding crowd has been generating content at scale but publishing-quality HTML was still a manual bottleneck; this repo positions itself as the missing output layer for that workflow.

How to use it

Clone and boot: git clone https://github.com/nexu-io/html-anything && cd html-anything && npm install && npm run dev — it auto-detects Claude Code (or Cursor/Codex/Gemini CLI) on your PATH at startup.,2. Open http://localhost:3000 — paste your markdown draft into the left pane. No login, no key entry.,3. Pick a skill template from the skill picker (e.g. 'magazine article', 'XHS card', 'data report', 'résumé'). Skills are composable — you can chain 'magazine article' + 'dark mode' + 'pull quotes'.,4. Hit Generate — the local agent (Claude Code in your case) writes the HTML; a sandboxed iframe previews it with zero XSS risk.,5. Export: download .html, render to .png via the built-in headless capture, or one-click publish to X/WeChat/Zhihu.

How I could use this

Blog-post-to-shareable-card pipeline: After saving a new post in Gradland, call html-anything's XHS/tweet card skill (via CLI subprocess from a Next.js API route) to auto-generate a PNG card that matches the Eastern Ink comic panel aesthetic — var(--panel-shadow), Lora headline, hard border — so Henry has a ready-to-post LinkedIn image without opening Canva or Figma.
Resume export surface for the career tools dashboard: Use html-anything's 'résumé' skill as the rendering engine for Gradland's resume analyser output. Feed the user's Supabase profile JSON into a markdown template, pipe it through the agent, and return a polished .html / .png resume download from /api/resume/export — a concrete upgrade over the current PDF-only pattern and genuinely useful for 485/482 applicants needing a clean English-format CV.
Visa-news digest as a visual infographic: Every time the fetch-visa-news cron runs and commits new markdown to content/visa-news/, trigger a GitHub Actions step that pipes the weekly summary through html-anything's 'data report' skill to produce an embeddable HTML card and a PNG. Ship the PNG in the weekly email digest and embed the HTML card at the top of /visa-news — transforms dry immigration updates into a scannable visual that differentiates Gradland from plain-text visa forums.

4. huangserva/3DCellForge

2,087 stars this week · JavaScript

A React Three Fiber workspace that lets you upload a reference image, generate a GLB via an image-to-3D provider, inspect it interactively, and present or export it — all in one self-contained browser app.

Use case

The real problem: there's no lightweight, self-hostable way to preview, annotate, and demo GLB files without spinning up Blender or a paid SaaS. Concrete scenario: you've generated a 3D asset with Meshy or Tripo3D, want to QA it (triangle count, texture quality, demo readiness score), record a cinematic flythrough for a client, and export a clean screenshot — 3DCellForge does all of that in one tab without leaving the browser.

Why it's trending

Image-to-3D APIs (Meshy, Tripo3D, Stability AI 3D) hit production quality in early 2026 but there's still no canonical open-source 'workbench' that wraps them — this repo fills that gap right as the tooling is maturing. The demo presentation mode with object-aware cinematic camera paths is a sharp differentiator that got shared heavily in the Three.js and r3f communities.

How to use it

Clone and install: git clone https://github.com/huangserva/3DCellForge && cd 3DCellForge && npm install
Add your image-to-3D provider key to .env (Meshy: VITE_MESHY_API_KEY=... — check the repo's .env.example for the exact var names).
npm run dev — drag a reference image onto the right-side tool panel or drop an existing GLB into the model library.
Click 'Generate' to queue a 3D generation job; the status badge on the library card updates as it polls. Inspect the result using the object-aware inspector (triangle count, texture count, quality score).
Hit 'Demo Mode' to collapse panels and trigger the cinematic orbit path, then use the screenshot button or browser screen-record to capture a clean asset preview.

How I could use this

Embed a stripped-down r3f viewer (just the center stage + orbit controls) on your blog's project posts so readers can orbit a 3D representation of your featured project's architecture — e.g., a rotating diagram of your Gradland microservices rendered as labeled 3D nodes exported from a GLB.
Build a 'Resume as 3D Timeline' easter egg on your portfolio: each job/education node is a floating panel in 3D space that the visitor can orbit around, using React Three Fiber's HTML overlay component to attach your real resume text to positioned anchors in the scene — low effort, extremely memorable at a dev interview.
Pipe your Gradland skill-paths data into a 3D force-directed graph (Three.js + d3-force-3d) where each skill node is a GLB mesh; connect it to the existing learning-paths API so the graph updates live as a user marks skills complete, giving you a genuinely novel 'skill constellation' visualisation no other career tool has.

5. yetone/native-feel-skill

1,215 stars this week · various

A Claude Code agent skill that encodes Raycast's native-feel architecture patterns — eight tenets, a four-layer model, and a 75-item ship audit — so your AI agent applies them automatically whenever you're designing a cross-platform desktop app.

Use case

Cross-platform desktop apps built with Electron or Tauri routinely ship with janky scrolling, wrong cursor shapes, broken system fonts, and native menu-bar behavior that feels slightly off — because WebView and native OS conventions conflict in dozens of subtle ways. This skill codifies the specific structural decisions Raycast made (reverse-engineered from the actual beta binary) to eliminate those gaps. Concrete example: if you ask Claude to scaffold a Tauri app with a command palette, this skill fires and constrains the output to use the correct WebKit scroll-snap behavior, proper macOS vibrancy layers, and input focus handling that matches OS expectations.

Why it's trending

Raycast 2.0's cross-platform announcement dropped recently and sent the developer community into a deep-dive on how they achieved near-native feel in a WebView-based app — this skill packages that community reverse-engineering into something reusable the week that curiosity peaked. It also benefits from the broader momentum of Claude Code skills as a distribution mechanism, making it one of the first high-quality agent skills to go viral.

How to use it

Install globally so every project picks it up: npx skills add yetone/native-feel-skill -g
Verify install: check that ~/.claude/skills/native-feel-cross-platform-desktop/SKILL.md exists along with references/ and checklists/ subdirs.
Start a new Tauri or Electron project conversation in Claude Code — the skill activates automatically when desktop architecture topics appear; no slash command needed.
Ask Claude to 'scaffold a command palette component' or 'review this app for native feel issues' — the skill injects the 75-item ship audit and four-layer constraints into the response.
Before shipping, explicitly ask: 'run the native-feel ship audit on my current architecture' to get a checklist of the gaps you still need to close.

How I could use this

Write a deep-dive blog post titled 'How Raycast Makes Electron Feel Native (And What I Learned Reverse-Engineering It)' — use this skill's reference material as source of truth, publish it as a content piece on Gradland targeting the 'developer tools in Australia' SEO cluster, and link to your GitHub where you've applied the patterns to a real project.
Build a lightweight Tauri-based desktop companion for Gradland's job search tools — a menu-bar app that shows today's scraped AU IT jobs, alerts on new 482/485 visa news, and lets users paste a JD for one-click resume gap analysis without opening a browser. The native-feel skill gives you the architecture checklist to ship it without the usual cross-platform jank.
Add a 'build a desktop app version of this feature' mode to your AI mentor or interview prep tools — when a user asks Claude to help them build a portfolio project, offer a Tauri starter with the native-feel patterns already baked in, generated by Claude Code with this skill active, as a premium downloadable artifact for subscribed users.

6. HermannBjorgvin/Clawdmeter

1,066 stars this week · C

ESP32 firmware that turns a $30 Waveshare AMOLED touch screen into a physical Claude Code usage meter with BLE keyboard shortcuts and animated pixel-art feedback that gets busier as your quota burns.

Use case

Claude Code's Pro subscription has hard session and weekly usage caps that are invisible while you work — you only discover you've hit the limit mid-task. This device puts a persistent, ambient usage gauge on your desk so you can pace consumption across the workday. Concrete scenario: it's Tuesday afternoon and the Clawd animations are at maximum agitation — you know you're at 85% weekly quota and should throttle autonomous agent runs before Friday's sprint, without opening a browser tab to check.

Why it's trending

Claude Code Pro adoption spiked hard in May 2026 and developers started hitting usage walls they didn't see coming — this repo landed at exactly the moment people were actively looking for quota visibility tooling. It's also the first hardware project in the 'physical AI usage feedback' category to break through, which makes it a novelty magnet on social.

How to use it

Order the Waveshare ESP32-S3-Touch-AMOLED-2.16 (~$30 USD shipped). 2. Clone the repo, install ESP-IDF or Arduino with the ESP32-S3 board package, and flash the firmware with idf.py flash or via Arduino IDE. 3. On your laptop, run the companion BLE script (in the repo's host/ directory) — it reads Claude Code's local usage file and pushes session/weekly stats to the device over BLE GATT. 4. Pair the device in your OS Bluetooth settings; it registers as both a GATT peripheral (data) and a BLE HID keyboard (the two side buttons send Space and Shift+Tab). 5. Optionally pull Clawd sprites from claudepix.vercel.app and add them to the firmware's sprite array to expand the animation set.

How I could use this

Wire Henry's existing recordUsage() calls in lib/subscription.ts into a real-time SSE endpoint (/api/usage/stream) and build a 'Claude quota widget' for the logged-in dashboard — an animated ink-brush gauge using var(--vermilion) and var(--jade) that shows remaining daily and weekly AI calls per endpoint, so Gradland users see exactly how much interview prep or resume analysis they have left today.
Build a 'usage pacing' feature for the career tools: if a user is near their daily Claude limit, the API routes could automatically downgrade from claude-sonnet-4-6 to claude-haiku-4-5-20251001 and surface a banner — 'Switching to fast mode to preserve your quota' — mirroring how Clawdmeter's animation intensity signals cost pressure, but in software at the product layer.
Create a public 'AI activity feed' page on Gradland (non-PII, aggregate only) — e.g., '47 resumes analysed today, 12 mock interviews run' — using the same Supabase usage tables, styled as an Eastern Ink dashboard panel with comic-book shadows. It doubles as social proof for new visitors and mirrors the ambient feedback concept Clawdmeter nails in hardware.

7. simonlin1212/a-stock-data

984 stars this week · various

A single Skill file that wraps 8 Chinese A-share data sources (mootdx, EastMoney, akshare, iwencai, Baidu PAE, Tonghuashun) into 21 ready-to-call endpoints any Claude Code or Codex session can invoke without touching auth headers or API quirks directly.

Use case

Quant researchers and retail investors using AI coding assistants waste hours reverse-engineering undocumented auth (EastMoney's Referer gate, iwencai's X-Claw token, Baidu PAE's header stack) before they can pull a single research report PDF. This repo eliminates that by shipping all the authentication glue as executable Python embedded in a Markdown Skill file — so you can say 'show me 688017 valuation' in Claude Code and get live PE/PB/market-cap without writing a line of boilerplate. Concrete scenario: an analyst wants to cross-reference a broker's EPS consensus against the stock's K-line before a call; with this Skill loaded, that's one natural-language prompt instead of a 3-hour scraping session.

Why it's trending

The Claude Code Skills ecosystem exploded after Anthropic's Skills API stabilised in early 2026, and this is one of the first domain-specific Skills files that demonstrates the pattern at production depth — 21 endpoints, real auth handling, and a no-config install. It's also riding the wave of retail quant tooling interest in China where AI-assisted stock analysis is booming.

How to use it

Install the Skill file: mkdir -p ~/.claude/skills/a-stock-data && curl -o ~/.claude/skills/a-stock-data/SKILL.md https://raw.githubusercontent.com/simonlin1212/a-stock-data/main/SKILL.md
Install Python deps: pip install mootdx akshare requests pandas stockstats
Launch Claude Code in any project — the Skill auto-activates when detected in ~/.claude/skills/
Prompt naturally: '帮我拉 688017 最近 60 日 K 线和机构评级' — Claude calls the embedded Python endpoints and returns structured data
To extend: open SKILL.md, find the relevant layer section (e.g. '研报层'), and add a new endpoint block following the same ## endpoint-name / python-snippet / returns pattern the file uses throughout

How I could use this

Build an AU tech job market Skill file for your own Claude Code sessions — same pattern, different domain: wrap Seek/Indeed/LinkedIn scraping, ABS salary bands, and ANZSCO role lookups into a single ~/.claude/skills/au-jobs/SKILL.md that your daily scripts can call instead of re-implementing auth each time. This directly accelerates Gradland's job scraper (scripts/scrape-au-jobs.ts) because the Skill holds the scraping logic and your Next.js route just shells out to it.
Create a 'Career Signal' dashboard widget on Gradland that mirrors the repo's 'signal layer' concept — instead of A-share momentum signals, surface weekly hiring velocity by ANZSCO code, visa-sponsoring employer counts, and average time-to-offer for 482/485 applicants. The architecture maps cleanly: your existing /api/jobs route is the data layer, you need a signal aggregation step (weekly cron → Supabase table) and a small dashboard card that shows 'Software Engineers: +12% job postings this week vs last'.
Use the embedded-Python-in-Markdown Skill pattern to build a 'Resume Analyser Skill' file that Henry's Claude Code sessions can use during development — it would call your own /api/resume endpoints, pull the user's ANZSCO match scores, and give Claude live feedback on whether a resume change improves the match score. Essentially dog-fooding Gradland's AI features inside your own dev workflow, which also validates the API surface before shipping to users.

8. ywnd1144/Gopay_plus_automatic

899 stars this week · Python

Use case

Why it's trending

How to use it

How I could use this

9. vercel-labs/zero

831 stars this week · C

Zero is a compiled systems language from Vercel Labs designed specifically for building AI agents — native binaries, explicit side effects, and structured JSON compiler output so LLMs can read errors and route definitions directly.

Use case

The real problem is that most agent tools are glued together in Python or Node, which means slow startup, unpredictable memory, and no formal model of what side effects an agent is allowed to perform. Zero solves this by giving each tool a declared effect signature — a file-writing agent literally cannot make a network call unless its type says so. Concretely: you write a Zero tool that parses a resume PDF, and you can statically verify it touches only the filesystem, making it safe to sandbox in a multi-tenant API.

Why it's trending

Vercel Labs shipping a language is a credibility signal that agent toolchains are maturing past duct-taped Python scripts — the 831-star week is a bet that structured, auditable agent primitives are the next frontier. The timing overlaps with OpenAI and Anthropic both pushing tool-use hard, so 'how do you safely define what a tool can do' is a live engineering question right now.

How to use it

Install and verify: curl -fsSL https://zerolang.ai/install.sh | bash && zero --version
Read a minimal example in examples/ to understand effect declarations, then write a tool with zero check examples/hello.0 to see structured JSON diagnostics.
Build a static binary: zero build --emit exe --target linux-musl-x64 my-tool.0 --out .zero/out/my-tool — the output is a self-contained musl executable with no runtime dependency.
Expose it as an HTTP agent endpoint: zero routes --json my-tool.0 returns a machine-readable route manifest your orchestrator (Next.js API route, LangChain, etc.) can consume to register the tool.
Introspect capabilities: zero skills get zero --full prints what the agent knows about itself — pipe this into your LLM's system prompt as a capability list.

How I could use this

Replace the Node.js scripts/fetch-ai-news.ts and scripts/fetch-visa-news.ts content scripts with Zero binaries — static musl executables have ~5ms startup vs ~800ms for npx tsx, which matters when GitHub Actions bills per second and you're running 7 daily cron jobs.
Build a Zero tool with a declared fs.read + net.none effect signature that processes uploaded resumes locally on the server without any risk of data exfiltration — position this as a privacy-first differentiator for the resume analyser feature, where international students are understandably nervous about uploading visa documents to an AI API.
Use zero routes --json to auto-generate the tool manifest for a Claude tool-use call — write your career tools (ANZSCO lookup, salary check, visa eligibility) as Zero agents, emit their route JSON at build time, and feed that manifest directly into claude-sonnet-4-6 as the tools array, so the AI can dispatch to native binaries instead of hitting your Next.js API routes.

10. TencentARC/Pixal3D

792 stars this week · Python

Pixal3D converts a single image into a high-fidelity 3D asset with PBR textures by explicitly back-projecting pixel features into 3D space rather than loosely injecting them via attention — closing the gap between 3D generation and 3D reconstruction quality.

Use case

The core problem: existing image-to-3D models (Zero123, Wonder3D) produce geometrically plausible but texturally blurry or inconsistent assets because they treat image features as global conditioning signals rather than spatially grounded cues. Pixal3D fixes this by anchoring each pixel's feature to its corresponding 3D location via back-projection, so the output mesh actually looks like the input photo — usable in a game engine or a product configurator without manual cleanup. Concrete scenario: a developer photographs a physical product or scans an ID card, feeds the image to Pixal3D, and gets a textured GLB file ready for a Three.js viewer or Blender pipeline in seconds.

Why it's trending

It dropped inference code and a live HuggingFace demo in May 2026 on the same week it updated to the Trellis.2 backbone — so it went from paper-only to immediately runnable, which is the exact moment GitHub stars spike. SIGGRAPH 2026 acceptance gives it institutional credibility that separates it from the usual demo-only repos.

How to use it

Clone and install: git clone https://github.com/TencentARC/Pixal3D && pip install -r requirements.txt (CUDA 11.8+ required; check the branch table in the README for the Trellis.2 branch name),2. Download model weights from HuggingFace: huggingface-cli download TencentARC/Pixal3D --local-dir ./weights,3. Run inference on a single image: python infer.py --image assets/example.png --output output/ — this produces a .glb file with PBR textures,4. Load the GLB in a Next.js page using @react-three/fiber + @react-three/drei: <useGLTF> hook or <Model> component pointing at the output file URL,5. For a hosted pipeline, wrap infer.py in a FastAPI endpoint, deploy to a GPU instance (Modal, RunPod, or Replicate), and call it from a Next.js API route — stream progress via SSE if generation takes >5s

How I could use this

Portfolio 3D showcase: add a '/work/[slug]' page where Henry uploads a screenshot of a UI he built, Pixal3D generates a 3D card/mockup of it, and visitors can orbit around it using react-three-fiber — a genuinely novel portfolio trick that no other developer blog does yet and would go viral on dev Twitter
Resume profile photo → 3D avatar for the career tools dashboard: let Gradland users upload their LinkedIn headshot, generate a low-poly 3D avatar via Pixal3D, and use it as an animated avatar on the interview prep page — differentiates the product visually and gives international students a memorable branded asset for their profile
AI blog post header generator: build a Next.js API route that takes the cover image of any blog post Henry writes, runs it through Pixal3D to produce a 3D version, renders a short turntable animation server-side with Three.js + offscreen canvas, and auto-attaches the GIF as the Open Graph image — making every share on LinkedIn look like a 3D interactive preview