Tenkai Daily — April 14, 2026

Model Releases

• unsloth/GLM-5.1-GGUF — GGUF quantized variant of GLM-5.1 enabling efficient local deployment for conversational Chinese and English text generation, based on the original GLM-5.1 model.

Open Source Releases

• nextlevelbuilder/ui-ux-pro-max-skill — An AI skill for building professional UI/UX across multiple platforms, integrating design intelligence with tools like React and Tailwind CSS.
• gsd-build/get-shit-done — A lightweight and powerful meta-prompting and spec-driven development system for Claude Code, emphasizing context engineering.
• asgeirtj/system_prompts_leaks — A collection of extracted system prompts from major AI models, including Claude and GPT, for transparency and research.
• sickn33/antigravity-awesome-skills — A library of over 1,400 agentic skills for Claude Code and other coding platforms, with installation and management tools.
• santifer/career-ops — An AI-powered job search system leveraging Claude Code for automation, resume generation, and interview preparation.
• safishamsi/graphify — An AI coding skill that converts codebases into queryable knowledge graphs, enhancing code understanding and navigation.

Research Worth Reading

• AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers — Introduces AHC, a meta-learned adaptive compression framework for continual object detection on microcontrollers with under 100KB memory. Enables dynamic compression strategy adjustment to evolving task distributions, improving memory utilization.
• DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review — Presents DeepReviewer 2.0, a traceable agentic system for auditable scientific peer review. Focuses on output contracts that provide justifications, evidence, and concrete follow-ups to enable human review and verification of AI-generated critiques.
• Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization — Proposes a benchmark to evaluate mobile GUI agents on humanization—anti-detection capabilities in human-centric digital ecosystems—rather than solely utility and robustness. Addresses adversarial countermeasures and agent behavior in human-like interactions.
• OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling — Proposes Object-Oriented Programmatic World Modeling (OOWM) to structure embodied reasoning and planning. Addresses limitations of linear natural language prompting by explicitly representing state-space, object hierarchies, and causal dependencies for embodied tasks.

AI Dev Tools

• farion1231/cc-switch — A cross-platform desktop assistant tool for Claude Code and related platforms, enabling provider management and skill integration.
• CherryHQ/cherry-studio — An AI productivity studio offering smart chat, autonomous agents, and unified access to frontier LLMs.
• HKUDS/nanobot — An ultra-lightweight personal AI agent designed for efficiency and ease of use across multiple platforms.
• wshobson/agents — A framework for intelligent automation and multi-agent orchestration, focusing on Claude Code and related tools.
• router-for-me/CLIProxyAPI — An API service that wraps multiple AI CLI tools, providing a unified interface for Gemini, Claude, and other models.
• iOfficeAI/AionUi — A free, local, open-source cowork app providing OpenClaw and AI agent support for multiple platforms.

Tutorials & Guides

• shanraisshan/claude-code-best-practice — A repository of best practices for Claude Code, covering agentic engineering and workflow optimization.

Today’s Synthesis

Anchor on unsloth/GLM-5.1-GGUF for local conversational efficiency as a baseline deployment requirement. Wrap it with farion1231/cc-switch to manage provider routing and skill integration, enabling toggling between local and cloud backends without rewriting core logic. Use HKUDS/nanobot for lightweight, efficient task execution to avoid runtime bloat. Combine this stack with sickn33/antigravity-awesome-skills to reuse proven agentic patterns and accelerate feature delivery. This synthesis leverages the specific items above: a local model for privacy/speed, a unified API layer for flexibility, and a curated skill library for rapid orchestration, keeping infra maintainable and deployments honest about resource constraints.