Github Top Repositories
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🚀 Meet mukul975/Anthropic-Cybersecurity-Skills: a gem from today's GitHub trending list.
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
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The Anthropic Cybersecurity Skills repository provides a comprehensive library of 754 production-grade cybersecurity skills across 26 security domains. This open-source project aims to equip AI agents with the skills of a senior security analyst, enabling them to perform tasks such as threat hunting, incident response, and vulnerability management.
The repository includes
To get started, users can clone the repository or use the
The project is not affiliated with Anthropic PBC and is an independent, community-created initiative. The repository is licensed under Apache-2.0 and is open to contributions.
Overall, the Anthropic Cybersecurity Skills repository has the potential to significantly enhance the capabilities of AI agents in the cybersecurity domain, and its open-source nature makes it an exciting development for the community.
Give your AI agent the security skills of a senior analyst — and watch it become a game-changer in cybersecurity.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
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The Anthropic Cybersecurity Skills repository provides a comprehensive library of 754 production-grade cybersecurity skills across 26 security domains. This open-source project aims to equip AI agents with the skills of a senior security analyst, enabling them to perform tasks such as threat hunting, incident response, and vulnerability management.
The repository includes
five framework mappings, including MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF, making it a unique and valuable resource for the cybersecurity community. To get started, users can clone the repository or use the
npx skills add mukul975/Anthropic-Cybersecurity-Skills command. The skills are designed to be used with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI. The project is not affiliated with Anthropic PBC and is an independent, community-created initiative. The repository is licensed under Apache-2.0 and is open to contributions.
Overall, the Anthropic Cybersecurity Skills repository has the potential to significantly enhance the capabilities of AI agents in the cybersecurity domain, and its open-source nature makes it an exciting development for the community.
Give your AI agent the security skills of a senior analyst — and watch it become a game-changer in cybersecurity.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: colbymchenry/codegraph — let's break it down.
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
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Introducing CodeGraph, a revolutionary tool that supercharges your development workflow with semantic code intelligence. It integrates seamlessly with popular agents like Claude Code, Cursor, Codex CLI, opencode, and Hermes Agent, providing a pre-indexed knowledge graph that enables instant code exploration and search.
To get started, simply run the installer with
Key Features include smart context building, full-text search, impact analysis, and framework-aware routes. CodeGraph supports 19+ languages and is 100% local, with no data leaving your machine.
The benefits are clear: 35% cheaper, 57% fewer tokens, 46% faster, and 71% fewer tool calls. With CodeGraph, you can supercharge your coding experience. Try it today and discover a whole new world of coding efficiency - CodeGraph: because coding just got a whole lot smarter!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
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Introducing CodeGraph, a revolutionary tool that supercharges your development workflow with semantic code intelligence. It integrates seamlessly with popular agents like Claude Code, Cursor, Codex CLI, opencode, and Hermes Agent, providing a pre-indexed knowledge graph that enables instant code exploration and search.
To get started, simply run the installer with
npx @colbymchenry/codegraph or use the provided scripts for macOS, Linux, or Windows. Then, initialize your project with codegraph init -i to build the knowledge graph index.Key Features include smart context building, full-text search, impact analysis, and framework-aware routes. CodeGraph supports 19+ languages and is 100% local, with no data leaving your machine.
The benefits are clear: 35% cheaper, 57% fewer tokens, 46% faster, and 71% fewer tool calls. With CodeGraph, you can supercharge your coding experience. Try it today and discover a whole new world of coding efficiency - CodeGraph: because coding just got a whole lot smarter!
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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💡 manaflow-ai/cmux just hit the trending charts — here's why it matters.
🔗 https://github.com/manaflow-ai/cmux
📝 Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
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cmux is a macOS terminal designed for AI coding agents, built on top of
Key features include:
- Notification rings and a notification panel for managing agent notifications
- An with a scriptable API
- Vertical and horizontal tabs for organizing workspaces
- SSH support for remote machine workspaces
- Claude Code Teams integration
- Custom commands and scriptable functionality via the CLI and socket API
To get started, you can
Audience: Developers working with AI coding agents, particularly those using Claude Code and other similar tools.
Technical highlights: Native macOS app built with
Give a million developers composable primitives like cmux and they'll build the most efficient workflows - faster than any product team.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/manaflow-ai/cmux
📝 Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
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cmux is a macOS terminal designed for AI coding agents, built on top of
Ghostty and offering features like vertical tabs, notifications, and an in-app browser. Key features include:
- Notification rings and a notification panel for managing agent notifications
- An with a scriptable API
- Vertical and horizontal tabs for organizing workspaces
- SSH support for remote machine workspaces
- Claude Code Teams integration
- Custom commands and scriptable functionality via the CLI and socket API
To get started, you can
download the DMG or install via Homebrew. Audience: Developers working with AI coding agents, particularly those using Claude Code and other similar tools.
Technical highlights: Native macOS app built with
Swift and AppKit, GPU-accelerated using libghostty.Give a million developers composable primitives like cmux and they'll build the most efficient workflows - faster than any product team.
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🧠 Channel: https://t.me/GithubRe
🔥 multica-ai/andrej-karpathy-skills is trending — and it deserves your attention.
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The Andrej Karpathy Skills GitHub repository provides guidelines for improving Claude Code behavior, inspired by Andrej Karpathy's observations on LLM coding pitfalls. The project addresses issues like wrong assumptions, overcomplication, and lack of clarity in code.
Key features include four principles:
1. Think Before Coding - explicit reasoning and questioning assumptions,
2. Simplicity First - minimal code and no overengineering,
3. Surgical Changes - touching only necessary code,
4. Goal-Driven Execution - defining success criteria and looping until verified.
These principles are designed to be used by developers working with LLMs, particularly those using Claude Code. The guidelines can be installed as a plugin or added to a project's
Technical highlights include the use of success criteria to transform imperative tasks into verifiable goals and the emphasis on simplicity and caution over speed.
To get started, users can install the guidelines as a Claude Code plugin or add them to their project's
The target audience is developers and teams working with LLMs and Claude Code, looking to improve their coding workflow and reduce mistakes.
In summary: Follow these guidelines to make your LLMs loop until they get it right - success criteria and verification are key to efficient coding with LLMs.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The Andrej Karpathy Skills GitHub repository provides guidelines for improving Claude Code behavior, inspired by Andrej Karpathy's observations on LLM coding pitfalls. The project addresses issues like wrong assumptions, overcomplication, and lack of clarity in code.
Key features include four principles:
1. Think Before Coding - explicit reasoning and questioning assumptions,
2. Simplicity First - minimal code and no overengineering,
3. Surgical Changes - touching only necessary code,
4. Goal-Driven Execution - defining success criteria and looping until verified.
These principles are designed to be used by developers working with LLMs, particularly those using Claude Code. The guidelines can be installed as a plugin or added to a project's
CLAUDE.md file. Technical highlights include the use of success criteria to transform imperative tasks into verifiable goals and the emphasis on simplicity and caution over speed.
To get started, users can install the guidelines as a Claude Code plugin or add them to their project's
CLAUDE.md file. The target audience is developers and teams working with LLMs and Claude Code, looking to improve their coding workflow and reduce mistakes.
In summary: Follow these guidelines to make your LLMs loop until they get it right - success criteria and verification are key to efficient coding with LLMs.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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⚡ Fincept-Corporation/FinceptTerminal is making waves. Here's the full picture.
🔗 https://github.com/Fincept-Corporation/FinceptTerminal
📝 FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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Fincept Terminal is a state-of-the-art financial intelligence platform that offers institutional-grade financial analytics, AI automation, and unlimited data connectivity. Its key features include multi-asset analytics, AI agents, real-time trading, and global intelligence. The platform is built using
To use Fincept Terminal, you can download the installer for your platform or build it from source using
With its extensive feature set and high-performance capabilities, Fincept Terminal is an ideal choice for those who want to take their financial analysis to the next level.
The Fincept Terminal is the ultimate tool for financial Insights.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Fincept-Corporation/FinceptTerminal
📝 FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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Fincept Terminal is a state-of-the-art financial intelligence platform that offers institutional-grade financial analytics, AI automation, and unlimited data connectivity. Its key features include multi-asset analytics, AI agents, real-time trading, and global intelligence. The platform is built using
C++20 and Qt6 for UI and rendering, with embedded Python for analytics. To use Fincept Terminal, you can download the installer for your platform or build it from source using
CMake and Ninja. The platform is suitable for financial professionals, quantitative analysts, and developers who need advanced financial analytics and automation capabilities. With its extensive feature set and high-performance capabilities, Fincept Terminal is an ideal choice for those who want to take their financial analysis to the next level.
The Fincept Terminal is the ultimate tool for financial Insights.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet paperless-ngx/paperless-ngx: a gem from today's GitHub trending list.
🔗 https://github.com/paperless-ngx/paperless-ngx
📝 A community-supported supercharged document management system: scan, index and archive all your documents
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Paperless-ngx is a document management system that helps you digitize your physical documents, making them searchable and easily accessible online. The system is the official successor to the original Paperless and Paperless-ng projects, designed to be community-driven and supported by a team of people.
Key features of Paperless-ngx include a user-friendly interface, document scanning and uploading, tagging and categorization, and search functionality. The system is highly customizable, with a
To get started with Paperless-ngx, you can use the
From a technical standpoint, Paperless-ngx is built using a range of technologies, including
The target audience for Paperless-ngx includes individuals and organizations looking to digitize their documents and streamline their workflow. The system is particularly useful for those who need to manage large volumes of documents, such as businesses, law firms, and government agencies.
Overall, Paperless-ngx is a powerful and flexible document management system that can help you transform your physical documents into a searchable online archive.
With its user-friendly interface and customizable features, Paperless-ngx is an ideal solution for anyone looking to go paperless - Ditch the paper, not the memories!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/paperless-ngx/paperless-ngx
📝 A community-supported supercharged document management system: scan, index and archive all your documents
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Paperless-ngx is a document management system that helps you digitize your physical documents, making them searchable and easily accessible online. The system is the official successor to the original Paperless and Paperless-ng projects, designed to be community-driven and supported by a team of people.
Key features of Paperless-ngx include a user-friendly interface, document scanning and uploading, tagging and categorization, and search functionality. The system is highly customizable, with a
docker compose installation option for easy deployment.To get started with Paperless-ngx, you can use the
docker compose installation method or follow the step-by-step guides in the documentation. The system is also available for migration from Paperless-ng, with a simple drop-in replacement process.From a technical standpoint, Paperless-ngx is built using a range of technologies, including
Python and JavaScript. The system is designed to be scalable and secure, with a focus on community involvement and contribution.The target audience for Paperless-ngx includes individuals and organizations looking to digitize their documents and streamline their workflow. The system is particularly useful for those who need to manage large volumes of documents, such as businesses, law firms, and government agencies.
Overall, Paperless-ngx is a powerful and flexible document management system that can help you transform your physical documents into a searchable online archive.
With its user-friendly interface and customizable features, Paperless-ngx is an ideal solution for anyone looking to go paperless - Ditch the paper, not the memories!
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🧠 Channel: https://t.me/GithubRe
🔥 anthropics/claude-cookbooks is trending — and it deserves your attention.
🔗 https://github.com/anthropics/claude-cookbooks
📝 A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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The Claude Cookbooks GitHub repository provides a collection of code snippets, guides, and examples to help developers build with Claude, a powerful AI assistant. The repository offers a wide range of recipes for various capabilities, including classification, retrieval augmented generation, and summarization. It also covers tool use and integration, third-party integrations, multimodal capabilities, and advanced techniques.
To get started, you'll need a Claude API key, which can be obtained for free. The code examples are primarily written in Python, but the concepts can be adapted to other programming languages.
The repository is organized into sections, including:
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-
-
-
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The Claude Cookbooks are designed for developers who want to build with Claude and create innovative AI-powered applications. Whether you're a seasoned developer or just starting out, this repository provides a valuable resource for exploring the capabilities of Claude.
One-liner takeaway: Unlock the full potential of Claude with the Claude Cookbooks, your go-to resource for building innovative AI-powered applications.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/anthropics/claude-cookbooks
📝 A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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The Claude Cookbooks GitHub repository provides a collection of code snippets, guides, and examples to help developers build with Claude, a powerful AI assistant. The repository offers a wide range of recipes for various capabilities, including classification, retrieval augmented generation, and summarization. It also covers tool use and integration, third-party integrations, multimodal capabilities, and advanced techniques.
To get started, you'll need a Claude API key, which can be obtained for free. The code examples are primarily written in Python, but the concepts can be adapted to other programming languages.
The repository is organized into sections, including:
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Capabilities: Explore techniques for text and data classification, retrieval augmented generation, and summarization.-
Tool Use and Integration: Learn how to integrate Claude with external tools and functions.-
Third-Party Integrations: Supplement Claude's knowledge with external data sources.-
Multimodal Capabilities: Discover how to use Claude with vision and generate images.-
Advanced Techniques: Learn about sub-agents, uploading PDFs, automated evaluations, and more.The Claude Cookbooks are designed for developers who want to build with Claude and create innovative AI-powered applications. Whether you're a seasoned developer or just starting out, this repository provides a valuable resource for exploring the capabilities of Claude.
One-liner takeaway: Unlock the full potential of Claude with the Claude Cookbooks, your go-to resource for building innovative AI-powered applications.
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🧠 Channel: https://t.me/GithubRe
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