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🔍 Deep-diving into cathrynlavery/diagram-design — fresh off the trending list.
🔗 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 is a game-changer for developers who want to create editorial-quality diagrams without the hassle of generic templates or tedious design tools. This repository offers
The key features of this repository include:
* Diagram types: 27 types of diagrams, including architecture, flowchart, sequence, and more
* Brand matching: the skill can read your website and match your brand's colors and fonts
* Customizable: you can override the default styles and customize the diagrams to fit your needs
* Accessible: the diagrams are accessible by default, with features like WCAG AA contrast and semantic role names
The repository is suitable for developers who want to create high-quality diagrams quickly and easily, without requiring extensive design experience. The code is well-organized, and the
In short, Diagram Design is a powerful tool that can help you create stunning diagrams in no time, and its flexibility and customizability make it a must-have for any developer. So why settle for generic diagrams when you can have editorial-quality diagrams that match your brand?
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🧠 Channel: https://t.me/GithubRe
🔗 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 is a game-changer for developers who want to create editorial-quality diagrams without the hassle of generic templates or tedious design tools. This repository offers
27 types of diagrams, from architecture sketches to flowcharts, and even provides a Claude Code skill that can read your website and match your brand's colors and fonts in just 60 seconds. The key features of this repository include:
* Diagram types: 27 types of diagrams, including architecture, flowchart, sequence, and more
* Brand matching: the skill can read your website and match your brand's colors and fonts
* Customizable: you can override the default styles and customize the diagrams to fit your needs
* Accessible: the diagrams are accessible by default, with features like WCAG AA contrast and semantic role names
The repository is suitable for developers who want to create high-quality diagrams quickly and easily, without requiring extensive design experience. The code is well-organized, and the
READMEfile provides clear instructions on how to get started.
In short, Diagram Design is a powerful tool that can help you create stunning diagrams in no time, and its flexibility and customizability make it a must-have for any developer. So why settle for generic diagrams when you can have editorial-quality diagrams that match your brand?
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🔍 Deep-diving into macro-inc/macro — fresh off the trending list.
🔗 https://github.com/macro-inc/macro
📝 Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
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Let's break down the Macro workspace. Macro is an all-in-one platform designed to unify email, messages, docs, tasks, and CRM into a single, fast interface with shared team-level memory. The platform is built around the concept of
Some of the key features of Macro include:
- Multi-account email inbox with unified search and AI tools
- Team chat designed for focused technical discussions
- Task management built around chat, with bidirectional links to messages and emails
- Docs with live collaboration, version control, and offline editing
- CRM that keeps itself up to date, with bidirectional links to messages and emails
The platform is built using
The platform's technical highlights include its use of a
Overall, Macro is designed to be a single, unified platform for teams to work together, with all the tools and features they need to collaborate and get work done. With its focus on speed, reliability, and ease of use, Macro is an attractive option for teams looking to streamline their workflow.
One-liner takeaway: Macro is the ultimate all-in-one workspace that unifies your team's tools and streamlines your workflow!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/macro-inc/macro
📝 Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
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Let's break down the Macro workspace. Macro is an all-in-one platform designed to unify email, messages, docs, tasks, and CRM into a single, fast interface with shared team-level memory. The platform is built around the concept of
blocks, which are modular, extensible, and work together like Legos.Some of the key features of Macro include:
- Multi-account email inbox with unified search and AI tools
- Team chat designed for focused technical discussions
- Task management built around chat, with bidirectional links to messages and emails
- Docs with live collaboration, version control, and offline editing
- CRM that keeps itself up to date, with bidirectional links to messages and emails
The platform is built using
SolidJS and Rust for speed and reliability. Macro is designed for small companies or teams within larger companies, and is dogfooded by the Macro team themselves.The platform's technical highlights include its use of a
bidirectional graph to store cross-references between different blocks, and its CRDT-based collaboration system for live document editing.Overall, Macro is designed to be a single, unified platform for teams to work together, with all the tools and features they need to collaborate and get work done. With its focus on speed, reliability, and ease of use, Macro is an attractive option for teams looking to streamline their workflow.
One-liner takeaway: Macro is the ultimate all-in-one workspace that unifies your team's tools and streamlines your workflow!
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🧠 Channel: https://t.me/GithubRe
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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 a graph-native infrastructure for context and accountable AI systems, offering a comprehensive platform for decision intelligence, context management, and knowledge modeling. It provides a structured, queryable graph of everything an agent knows, decides, and reasons about, along with decision intelligence that makes every decision a first-class object, traceable, searchable by precedent, and causally linked.
Key features include:
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Semantica is designed for AI/ML platform teams, data platform teams, compliance, risk, and audit teams, regulated enterprises, platform and infra engineers, and data and knowledge engineers. It provides a polyglot graph storage with native support for RDF and Labeled Property Graphs, as well as drop-in integrations with popular tools and platforms.
To get started, simply run
In short, Semantica is the missing link between AI decisions and real-world accountability.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is a graph-native infrastructure for context and accountable AI systems, offering a comprehensive platform for decision intelligence, context management, and knowledge modeling. It provides a structured, queryable graph of everything an agent knows, decides, and reasons about, along with decision intelligence that makes every decision a first-class object, traceable, searchable by precedent, and causally linked.
Key features include:
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Context Graphs: a structured, queryable graph of everything an agent knows, decides, and reasons about-
Decision Intelligence: every decision is a first-class object, traceable, searchable by precedent, and causally linked-
AI Governance & Ontology: SHACL constraints, conflict detection, compliance rules, OWL generation, and SKOS vocabulary management-
Full Auditability: W3C PROV-O provenance on every fact, with audit trails exportable to JSON, CSV, or RDFSemantica is designed for AI/ML platform teams, data platform teams, compliance, risk, and audit teams, regulated enterprises, platform and infra engineers, and data and knowledge engineers. It provides a polyglot graph storage with native support for RDF and Labeled Property Graphs, as well as drop-in integrations with popular tools and platforms.
To get started, simply run
pip install semanticaand explore the platform's features and capabilities. With Semantica, you can build a knowledge graph from messy, multi-source data, and gain full decision provenance and explainable reasoning for your AI agents.
In short, Semantica is the missing link between AI decisions and real-world accountability.
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🧠 Channel: https://t.me/GithubRe