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💡 cathrynlavery/diagram-design just hit the trending charts — here's why it matters.
🔗 https://github.com/cathrynlavery/diagram-design
📝 29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
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The diagram-design GitHub repository provides a Claude Code skill for creating high-quality, editorial diagrams that match your brand. With 27 visual types and three static variants, you can easily generate diagrams such as architecture sketches, flowcharts, and pyramids. The skill uses a
To get started, you can install the skill using
The repository also includes an online gallery where you can browse the available diagrams. Overall, the diagram-design skill is a powerful tool for creating high-quality, accessible diagrams that match your brand's style. Take your diagrams to the next level with this skill - no more generic rounded boxes!
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🔗 https://github.com/cathrynlavery/diagram-design
📝 29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
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The diagram-design GitHub repository provides a Claude Code skill for creating high-quality, editorial diagrams that match your brand. With 27 visual types and three static variants, you can easily generate diagrams such as architecture sketches, flowcharts, and pyramids. The skill uses a
shared-memory hub and semantic patterns to describe behavior separately from layout, allowing for flexible and accessible diagrams. To get started, you can install the skill using
/plugin marketplace add cathrynlavery/diagram-design for Claude Code or codex plugin marketplace add cathrynlavery/diagram-design for Codex. The skill will then pull your brand's colors and typography from your website and apply them to the diagrams. The repository also includes an online gallery where you can browse the available diagrams. Overall, the diagram-design skill is a powerful tool for creating high-quality, accessible diagrams that match your brand's style. Take your diagrams to the next level with this skill - no more generic rounded boxes!
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Github Top Repositories
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🔍 Deep-diving into semantica-agi/semantica — fresh off the trending list.
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for building context and accountable AI systems. It's designed to ingest enterprise data, extract relevant information, and construct a knowledge graph with full decision provenance. Key features include graph analytics, deterministic reasoning, ontology management, and end-to-end traceability.
Technical highlights of Semantica include polyglot graph storage, RDF and LPG support, and compliance with W3C standards. The platform is self-hostable, auditable, and governed, with zero vendor lock-in.
Audience for Semantica includes AI/ML platform teams, data platform teams, compliance and risk teams, and regulated enterprises. It's ideal for high-stakes, regulated domains where explainable and trustworthy AI decision-making is crucial.
To get started with Semantica, simply run
In short, Semantica is the missing infrastructure layer that brings trust and transparency to your AI decisions.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for building context and accountable AI systems. It's designed to ingest enterprise data, extract relevant information, and construct a knowledge graph with full decision provenance. Key features include graph analytics, deterministic reasoning, ontology management, and end-to-end traceability.
Technical highlights of Semantica include polyglot graph storage, RDF and LPG support, and compliance with W3C standards. The platform is self-hostable, auditable, and governed, with zero vendor lock-in.
Audience for Semantica includes AI/ML platform teams, data platform teams, compliance and risk teams, and regulated enterprises. It's ideal for high-stakes, regulated domains where explainable and trustworthy AI decision-making is crucial.
To get started with Semantica, simply run
pip install semantica and explore the ContextGraph API. With Semantica, you can build a transparent and accountable AI system that provides real, structured answers to "why did this happen?" In short, Semantica is the missing infrastructure layer that brings trust and transparency to your AI decisions.
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 anthropics/skills is trending — and it deserves your attention.
🔗 https://github.com/anthropics/skills
📝 Public repository for Agent Skills
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The anthropics/skills GitHub repository is a treasure trove of skills for Claude, a platform that leverages these skills to improve performance on specialized tasks. These skills are essentially folders containing instructions, scripts, and resources that Claude loads dynamically. The repository includes a wide range of skills, from creative applications like art and music to technical tasks such as testing web apps and enterprise workflows.
To get started, you can browse through the various skills in the repository, which are all self-contained in their own folders with a
The repository also includes a template-skill that you can use as a starting point to create your own custom skills. Creating a basic skill is straightforward, requiring only a folder with a
The skills can be used in various ways, including through Claude Code, Claude.ai, and the Claude API. Whether you're a developer looking to teach Claude how to use specific software or an enterprise seeking to improve workflows, the anthropics/skills repository has something to offer.
One-liner takeaway: With the anthropics/skills repository, you can unlock Claude's full potential and teach it new tricks to streamline your workflow and boost productivity!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/anthropics/skills
📝 Public repository for Agent Skills
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The anthropics/skills GitHub repository is a treasure trove of skills for Claude, a platform that leverages these skills to improve performance on specialized tasks. These skills are essentially folders containing instructions, scripts, and resources that Claude loads dynamically. The repository includes a wide range of skills, from creative applications like art and music to technical tasks such as testing web apps and enterprise workflows.
To get started, you can browse through the various skills in the repository, which are all self-contained in their own folders with a
SKILL.md file. Many of these skills are open source, while others, like the document creation and editing skills, are source-available. You can use these skills as inspiration for your own or to understand different patterns and approaches.The repository also includes a template-skill that you can use as a starting point to create your own custom skills. Creating a basic skill is straightforward, requiring only a folder with a
SKILL.md file containing YAML frontmatter and instructions.The skills can be used in various ways, including through Claude Code, Claude.ai, and the Claude API. Whether you're a developer looking to teach Claude how to use specific software or an enterprise seeking to improve workflows, the anthropics/skills repository has something to offer.
One-liner takeaway: With the anthropics/skills repository, you can unlock Claude's full potential and teach it new tricks to streamline your workflow and boost productivity!
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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🔥 cactus-compute/needle is trending — and it deserves your attention.
🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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The Needle repository on GitHub is home to an open 45M-parameter model designed for tool calling, device use, and structured extraction. This model is unique in that it's a single 14MB binary that requires approximately 28MB of RAM to run a full session. Key features of the Needle model include its self-contained nature, with weights baked into the engine, a simple contract for tool calls, confidence-gated responses, and bounded memory usage.
To use the Needle model, you can install it via pip with
Technical highlights of the Needle model include its use of a Simple Attention Network architecture, which is a dense small-model recipe that incorporates a Hadamard MLP, GQA attention, and engram key-value memory. The model is also compressed using CQ2-bit with Cactus Quants, which reduces its size while maintaining its performance.
The Needle model is suitable for a wide range of audiences, including developers, researchers, and anyone interested in natural language processing and tool calling. With its unique combination of features and technical advancements, the Needle model is a valuable resource for anyone looking to explore the possibilities of AI-powered tool calling and extraction.
In summary, the Needle model is a powerful and efficient tool for natural language processing and tool calling, with a unique combination of features and technical advancements that make it an exciting and valuable resource - and with Needle, you can have the power of a large language model in the palm of your hand.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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The Needle repository on GitHub is home to an open 45M-parameter model designed for tool calling, device use, and structured extraction. This model is unique in that it's a single 14MB binary that requires approximately 28MB of RAM to run a full session. Key features of the Needle model include its self-contained nature, with weights baked into the engine, a simple contract for tool calls, confidence-gated responses, and bounded memory usage.
To use the Needle model, you can install it via pip with
pip install cactus-needle and then describe your tools to interact with the model. The model supports tool retrieval, where it can select the most relevant tools based on the input query, and confidence-gated responses, where the model returns a confidence score with each response.Technical highlights of the Needle model include its use of a Simple Attention Network architecture, which is a dense small-model recipe that incorporates a Hadamard MLP, GQA attention, and engram key-value memory. The model is also compressed using CQ2-bit with Cactus Quants, which reduces its size while maintaining its performance.
The Needle model is suitable for a wide range of audiences, including developers, researchers, and anyone interested in natural language processing and tool calling. With its unique combination of features and technical advancements, the Needle model is a valuable resource for anyone looking to explore the possibilities of AI-powered tool calling and extraction.
In summary, the Needle model is a powerful and efficient tool for natural language processing and tool calling, with a unique combination of features and technical advancements that make it an exciting and valuable resource - and with Needle, you can have the power of a large language model in the palm of your hand.
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 altic-dev/FluidVoice is trending — and it deserves your attention.
🔗 https://github.com/altic-dev/FluidVoice
📝 Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.
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FluidVoice is an open-source, on-device AI-enhanced voice-to-text dictation app for macOS. It features
To get started,
Key Features:
- On-device AI enhancement with
- Multiple speech models for different languages and latency needs
-
- Live preview with notch support and adaptive theming
Technical Highlights:
- Built with Swift and Swift Package Manager
- Supports Apple Silicon and Intel Macs (via Whisper models)
- Requires macOS 15.0 or later and ~1 GB disk space for a voice model
Audience:
- Individuals looking for a free, open-source dictation app with on-device AI enhancement
- Developers interested in contributing to the project or building from source
Get started with
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/altic-dev/FluidVoice
📝 Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. A local Wispr Flow alternative. ⭐ helps a ton :) Windows & iOS waitlist open. Linux soon.
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FluidVoice is an open-source, on-device AI-enhanced voice-to-text dictation app for macOS. It features
Fluid Intelligence, a local AI model for smart formatting and context-aware capitalization, and supports various speech models like Nemotron, Parakeet, and Whisper. To get started,
brew install --cask fluidvoice or download the latest release. Grant microphone and accessibility permissions, set your hotkey, and go through onboarding to choose your voice model. Key Features:
- On-device AI enhancement with
Fluid Intelligence- Multiple speech models for different languages and latency needs
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Command Mode for voice control and Write Mode for dictation in any text field- Live preview with notch support and adaptive theming
Technical Highlights:
- Built with Swift and Swift Package Manager
- Supports Apple Silicon and Intel Macs (via Whisper models)
- Requires macOS 15.0 or later and ~1 GB disk space for a voice model
Audience:
- Individuals looking for a free, open-source dictation app with on-device AI enhancement
- Developers interested in contributing to the project or building from source
Get started with
FluidVoice today and experience fast, accurate, and private dictation on your Mac - your voice, your words, your way.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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🔍 Deep-diving into unslothai/unsloth — fresh off the trending list.
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a cutting-edge desktop app that allows users to run and train AI models locally, with support for various types of models. It features a user-friendly interface, native support for CPU, NVIDIA, AMD, and Intel hardware, and multi-GPU setups. Users can
The app offers a range of features, including model training, fine-tuning, and deployment, as well as private and unlimited web search, deep research, and RAG. It also supports
Unsloth is designed for developers, researchers, and AI enthusiasts who want to work with AI models locally, without relying on cloud services. The app is free to use and offers a range of community resources, including documentation, tutorials, and forums.
To get started with Unsloth, users can simply
One of the key benefits of Unsloth is its ability to run AI models locally, which provides a high level of security and control for users. The app also offers
Overall, Unsloth is a powerful and flexible tool for working with AI models locally, and it offers a range of features and benefits that make it an attractive choice for developers, researchers, and AI enthusiasts.
Takeaway: Unsloth is the ultimate tool for running and training AI models locally, offering a unique combination of power, flexibility, and security.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a cutting-edge desktop app that allows users to run and train AI models locally, with support for various types of models. It features a user-friendly interface, native support for CPU, NVIDIA, AMD, and Intel hardware, and multi-GPU setups. Users can
download the app for Windows, macOS, or Linux, and start using it right away. The app offers a range of features, including model training, fine-tuning, and deployment, as well as private and unlimited web search, deep research, and RAG. It also supports
image and video diffusion, audio models, and reinforcement learning. Unsloth is designed for developers, researchers, and AI enthusiasts who want to work with AI models locally, without relying on cloud services. The app is free to use and offers a range of community resources, including documentation, tutorials, and forums.
To get started with Unsloth, users can simply
download the app and follow the installation instructions. The app also offers a web-based interface and a command-line interface for more advanced users. One of the key benefits of Unsloth is its ability to run AI models locally, which provides a high level of security and control for users. The app also offers
remote access capabilities, allowing users to access their models from anywhere. Overall, Unsloth is a powerful and flexible tool for working with AI models locally, and it offers a range of features and benefits that make it an attractive choice for developers, researchers, and AI enthusiasts.
Takeaway: Unsloth is the ultimate tool for running and training AI models locally, offering a unique combination of power, flexibility, and security.
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🧠 Channel: https://t.iss.one/GithubRe