🌟 anthropics/financial-services caught my eye on GitHub Trending today.
🔗 https://github.com/anthropics/financial-services
📝 No description.
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The anthropics/financial-services GitHub repository offers a collection of reference agents, skills, and data connectors tailored for financial services workflows, including investment banking, equity research, private equity, and wealth management.
Key features include pre-built agents for tasks like pitch deck creation, market research, and earnings review, as well as vertical plugins that bundle skills and commands for specific financial services verticals.
To use the repository, you can either install the agents and plugins as a
Technical highlights include the use of
The repository is designed for financial services professionals, including investment bankers, equity researchers, and wealth managers, who want to streamline their workflows and improve productivity.
In summary, the anthropics/financial-services repository provides a powerful toolkit for financial services professionals to automate and enhance their workflows - automate your finance workflows with Claude.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/anthropics/financial-services
📝 No description.
──────────────────────────────
The anthropics/financial-services GitHub repository offers a collection of reference agents, skills, and data connectors tailored for financial services workflows, including investment banking, equity research, private equity, and wealth management.
Key features include pre-built agents for tasks like pitch deck creation, market research, and earnings review, as well as vertical plugins that bundle skills and commands for specific financial services verticals.
To use the repository, you can either install the agents and plugins as a
Claude Cowork plugin or deploy them via the Claude Managed Agents API. Technical highlights include the use of
agent.yaml files for managed agent deployment and the ability to customize the agents and skills to fit your firm's specific needs. The repository is designed for financial services professionals, including investment bankers, equity researchers, and wealth managers, who want to streamline their workflows and improve productivity.
In summary, the anthropics/financial-services repository provides a powerful toolkit for financial services professionals to automate and enhance their workflows - automate your finance workflows with Claude.
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🧠 Channel: https://t.iss.one/GithubRe
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🔍 Deep-diving into addyosmani/agent-skills — fresh off the trending list.
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The agent-skills repository provides a set of skills for AI coding agents, encoding workflows, quality gates, and best practices used by senior engineers. These skills are designed to be used across every phase of development.
The repository includes 7 slash commands that map to the development lifecycle, such as
To get started, you can install the skills using various methods, including
The repository includes 22 skills in total, covering various aspects of software development, such as idea refinement, spec-driven development, planning, building, verifying, reviewing, and shipping.
The skills are designed to be used by engineers and developers who want to improve the quality and efficiency of their software development process.
Overall, the agent-skills repository provides a comprehensive set of skills for AI coding agents, helping to ensure that software development is done consistently and to a high standard.
Key takeaway: agent-skills helps you build better software, faster, by providing a set of reusable, production-grade skills for AI coding agents.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The agent-skills repository provides a set of skills for AI coding agents, encoding workflows, quality gates, and best practices used by senior engineers. These skills are designed to be used across every phase of development.
The repository includes 7 slash commands that map to the development lifecycle, such as
/spec, /plan, /build, /test, /review, /code-simplify, and /ship. To get started, you can install the skills using various methods, including
claude, cursor, gemini, windsurf, or opencode. The skills are also compatible with github copilot and other agents. The repository includes 22 skills in total, covering various aspects of software development, such as idea refinement, spec-driven development, planning, building, verifying, reviewing, and shipping.
The skills are designed to be used by engineers and developers who want to improve the quality and efficiency of their software development process.
Overall, the agent-skills repository provides a comprehensive set of skills for AI coding agents, helping to ensure that software development is done consistently and to a high standard.
Key takeaway: agent-skills helps you build better software, faster, by providing a set of reusable, production-grade skills for AI coding agents.
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 CloakHQ/CloakBrowser is trending — and it deserves your attention.
🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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CloakBrowser is a stealthy Chromium browser that can bypass bot detection tests. Its key features include source-level patches at the C++ level, human-like behavior with mouse curves, keyboard timing, and scroll patterns, and auto-updating binary for the latest stealth build. To use CloakBrowser, you can install it via
The target audience includes developers who need to automate browser interactions without being detected by antibot systems.
Technical highlights include 49 source-level C++ patches and zero-configuration stealth with a free and open-source license.
Get started in 30 seconds with three lines of code and unlock the power of stealth browsing:
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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CloakBrowser is a stealthy Chromium browser that can bypass bot detection tests. Its key features include source-level patches at the C++ level, human-like behavior with mouse curves, keyboard timing, and scroll patterns, and auto-updating binary for the latest stealth build. To use CloakBrowser, you can install it via
pip install cloakbrowser or npm install cloakbrowser and then launch it with launch() from the Playwright or Puppeteer API. The target audience includes developers who need to automate browser interactions without being detected by antibot systems.
Technical highlights include 49 source-level C++ patches and zero-configuration stealth with a free and open-source license.
Get started in 30 seconds with three lines of code and unlock the power of stealth browsing:
from cloakbrowser import launch; browser = launch(); page = browser.new_page(); page.goto("https://example.com"). The ultimate takeaway: with CloakBrowser, you can browse like a human, not a bot.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔥 HKUDS/AI-Trader is trending — and it deserves your attention.
🔗 https://github.com/HKUDS/AI-Trader
📝 "AI-Trader: 100% Fully-Automated Agent-Native Trading"
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Introduction to AI-Trader: The AI-Trader platform is designed to be an agent-native trading platform, enabling AI agents to exchange ideas, sharpen trading skills, and collaborate with one another.
Key Features: Some key features of the AI-Trader platform include:
-
- Collective Intelligence Trading: Agents collaborate and debate to surface the best trading ideas automatically.
-
Usage: There are two ways to join the AI-Trader platform:
- For Agent Traders: Connect any AI agent by sending it a message with a link to the integration guide.
- For Human Traders: Join directly in 3 simple steps by visiting the website, signing up with your email, and starting to trade.
Technical Highlights: The platform has a modular architecture, with separate components for the backend, frontend, and agent skill definitions. It also features a
Audience: The AI-Trader platform is designed for both AI agents and human traders, providing a collaborative environment for trading and learning.
Takeaway: With its cutting-edge features and user-friendly interface, the AI-Trader platform is revolutionizing the trading landscape - join the AI-Trader community today and start trading with the power of collective intelligence!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/HKUDS/AI-Trader
📝 "AI-Trader: 100% Fully-Automated Agent-Native Trading"
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Introduction to AI-Trader: The AI-Trader platform is designed to be an agent-native trading platform, enabling AI agents to exchange ideas, sharpen trading skills, and collaborate with one another.
Key Features: Some key features of the AI-Trader platform include:
-
Instant Agent Integration: Connect any AI agent instantly by sending it a simple message.- Collective Intelligence Trading: Agents collaborate and debate to surface the best trading ideas automatically.
-
Cross-Platform Signal Sync: Keep your broker, sync your trades, share signals seamlessly.Usage: There are two ways to join the AI-Trader platform:
- For Agent Traders: Connect any AI agent by sending it a message with a link to the integration guide.
- For Human Traders: Join directly in 3 simple steps by visiting the website, signing up with your email, and starting to trade.
Technical Highlights: The platform has a modular architecture, with separate components for the backend, frontend, and agent skill definitions. It also features a
FastAPI web service and a React frontend.Audience: The AI-Trader platform is designed for both AI agents and human traders, providing a collaborative environment for trading and learning.
Takeaway: With its cutting-edge features and user-friendly interface, the AI-Trader platform is revolutionizing the trading landscape - join the AI-Trader community today and start trading with the power of collective intelligence!
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 jundot/omlx is trending — and it deserves your attention.
🔗 https://github.com/jundot/omlx
📝 LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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oMLX is an optimized solution for running Large Language Models (LLMs) on Macs, providing a convenient and controlled experience. The key features include continuous batching and tiered KV caching, which enable efficient model inference and caching.
To get started, simply run
Some technical highlights of oMLX include its ability to handle concurrent requests, support for vision-language models, and a web-based admin dashboard for real-time monitoring and model management. The dashboard also features a model downloader, allowing users to search and download MLX models directly.
oMLX is designed for developers, researchers, and anyone looking to run LLMs on their Macs. With its user-friendly interface and robust feature set, it's an excellent choice for those seeking a seamless and efficient LLM experience.
In a nutshell, oMLX makes running Large Language Models on your Mac a breeze - giving you the perfect blend of convenience, control, and performance.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/jundot/omlx
📝 LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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oMLX is an optimized solution for running Large Language Models (LLMs) on Macs, providing a convenient and controlled experience. The key features include continuous batching and tiered KV caching, which enable efficient model inference and caching.
omlx can be installed via Homebrew, from source, or by downloading the macOS app. To get started, simply run
omlx serve --model-dir ~/models to discover and serve LLMs, VLMs, embedding models, and rerankers from subdirectories. The server includes a built-in chat UI and supports OpenAI-compatible clients.Some technical highlights of oMLX include its ability to handle concurrent requests, support for vision-language models, and a web-based admin dashboard for real-time monitoring and model management. The dashboard also features a model downloader, allowing users to search and download MLX models directly.
oMLX is designed for developers, researchers, and anyone looking to run LLMs on their Macs. With its user-friendly interface and robust feature set, it's an excellent choice for those seeking a seamless and efficient LLM experience.
In a nutshell, oMLX makes running Large Language Models on your Mac a breeze - giving you the perfect blend of convenience, control, and performance.
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🧠 Channel: https://t.iss.one/GithubRe
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