# Daily Product News - 2026-02-08

🚀 **Skillkit**
[www.agenstskills.com](http://www.agenstskills.com)

[SkillKit - Universal Skills for AI Coding Agents](http://www.agenstskills.com)

A package manager for AI agent skills that standardizes packaging and reuse of modular capabilities for coding agents. Suited for developers and teams building or orchestrating AI agents.

🧠 **Quash**
[quashbugs.com](https://quashbugs.com)

[Quash | AI-Powered Mobile App Testing & QA Automation](https://quashbugs.com)

An AI-driven mobile QA agent that converts plain-language test intents into executable functional and visual tests without writing scripts, handling taps, swipes, navigation and form interactions. Runs on real devices, emulators, or cloud device labs and performs UI plus backend validations for QA teams and mobile engineers.

🎨 **Stage Captions**
[stagecaptions.io](https://stagecaptions.io)

[Stage Captions | Real-Time Closed Captioning Software](https://stagecaptions.io)

Browser-based real-time closed-captioning that produces low-latency speech-to-text, supports custom dictionaries for technical terms, and provides a presenter dashboard to manage sessions. Delivers captions via browser output or QR-powered viewer to venue screens, livestream overlays, and attendee devices for event producers and broadcast engineers.

🚀 **Nativeline**
[nativeline.ai](https://nativeline.ai)

[Nativeline — Create Native Swift iOS Apps with AI | No Code Required](https://nativeline.ai)

Generates native Swift (SwiftUI) iPhone, iPad, and Mac apps from plain-English prompts and produces editable real Swift code with console logs and one-click TestFlight deployment. Intended for founders, first-time builders, and Swift developers who want to prototype or bootstrap native apps quickly.

🧠 **NeuroBlock**
[neuro-block.com](https://neuro-block.com)

[NeuroBlock - AI Lab: Local Intelligence & Quality Datasets](https://neuro-block.com)

A no-code AI lab for training models, accessing curated datasets, and running inference with a focus on local intelligence and dataset quality. Designed for data scientists and engineering teams who need experimentable model training and dataset access without heavy infrastructure setup.

For the site tree, see the [root Markdown](https://slashpage.com/ixtj-dev.md).