🔥 hardikpandya/stop-slop is trending — and it deserves your attention.

🔗 https://github.com/hardikpandya/stop-slop
📝 A skill file for removing AI tells from prose
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The Stop Slop GitHub repository is all about helping you refine your writing by removing common AI tells from your prose. Its purpose is to teach large language models (LLMs) like Claude to identify and eliminate predictable patterns, phrases, and structures that make your writing sound less human.

At its core, Stop Slop includes a set of rules and guidelines outlined in the SKILL.md file, along with reference materials that list phrases and structures to avoid. To use it, you can add the skill to your Claude Code, upload the necessary files to your project knowledge, or even make custom instructions by copying the core rules.

The repository catches a range of issues, including banned phrases like throat-clearing openers and business jargon, as well as structural clichés like binary contrasts and passive voice. It also enforces sentence-level rules to ensure your writing is direct, varied, and engaging.

From a technical standpoint, the repository is well-organized, with a clear directory structure and easy-to-follow instructions. The scoring system, which rates your writing on dimensions like directness, rhythm, and trust, is a useful tool for evaluating and improving your work.

Whether you're a writer, developer, or simply someone looking to improve your writing skills, Stop Slop is a valuable resource. So why not give it a try and take your writing to the next level? Stop Slop is the secret sauce that will make your writing sound less like a robot and more like a human - use it and watch your words come alive.

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🧠 Channel: https://t.me/GithubRe

🔥 garrytan/gstack is trending — and it deserves your attention.

🔗 https://github.com/garrytan/gstack
📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
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gstack is an open-source software factory that helps you ship products faster and more efficiently. It's created by Garry Tan, President & CEO of Y Combinator, who has used it to ship 3 production services and 40+ features in just 60 days. gstack turns AI coding agents like Claude into a virtual engineering team, providing 23 specialist roles and 8 power tools to streamline your development process.

The key features of gstack include:

* /office-hours for product reframing and design doc creation
* /plan-ceo-review for rethinking the problem and finding the 10-star product
* /plan-eng-review for locking in architecture and data flow
* /review for catching bugs and verifying fixes
* /qa for testing and quality assurance

gstack is designed for founders, CEOs, and technical leaders who want to ship products faster and more efficiently. It's also suitable for first-time Claude Code users and tech leads who want to improve their development process.

To get started with gstack, simply install it using the provided setup instructions, then run the /office-hours command to begin your project. With gstack, you can ship products faster and more efficiently, and become more productive as a developer.

The takeaway: with gstack, you can ship like a team of twenty, even if you're a solo developer.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into Lum1104/Understand-Anything — fresh off the trending list.

🔗 https://github.com/Lum1104/Understand-Anything
📝 Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
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The Understand Anything GitHub repository is a game-changer for developers and teams. Its primary purpose is to turn any codebase, knowledge base, or documentation into an interactive knowledge graph that can be explored, searched, and questioned. This innovative tool works with various platforms, including Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

The Understand Anything tool offers several key features, such as:
- Exploring structural graphs to navigate codebases
- Understanding business logic through domain views
- Analyzing knowledge bases to extract entities and relationships
- Guided tours and fuzzy search for easier navigation
- Diff impact analysis to track changes
- Persona-adaptive UI for personalized experiences

Usage is straightforward: install the plugin, analyze the codebase, and explore the dashboard. The install.sh script simplifies installation across multiple platforms.

From a technical standpoint, Understand Anything leverages a Tree-sitter + LLM hybrid approach, combining static analysis and LLMs for optimal results. This approach enables deterministic parsing and semantic analysis, providing a comprehensive understanding of the codebase.

The target audience includes developers, teams, and organizations seeking to improve their understanding of complex codebases and knowledge bases. With Understand Anything, users can easily explore, search, and question their codebases, making it an invaluable tool for onboarding, PR reviews, and documentation.

In summary, Understand Anything is a powerful tool that simplifies the process of understanding complex codebases and knowledge bases. Its innovative approach, ease of use, and wide platform support make it an essential tool for any developer or team. Try it out and discover a whole new way to understand your code! With Understand Anything, you'll never be lost in code again – just explore, search, and understand anything!

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🧠 Channel: https://t.me/GithubRe

🌟 affaan-m/ECC caught my eye on GitHub Trending today.

🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC (Efficient Configuration Companion) is an open-source, harness-native operator system designed for agentic work, developed by the winner of an Anthropic hackathon. This project has gained significant attention with 182K+ stars, 28K+ forks, and 170+ contributors.

The ECC system provides a comprehensive framework for building and managing agents, including skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It supports multiple language ecosystems, such as Python, Java, Go, and JavaScript, and is compatible with various AI agent harnesses like Claude Code, Codex, and OpenCode.

One of the key features of ECC is its ability to provide production-ready agents and skills, which can be used to automate various tasks and workflows. The system also includes a range of tools and features for managing and optimizing agent performance, such as hook runtime controls and session summaries.

To get started with ECC, users can follow the provided guides, including the Shorthand Guide, Longform Guide, and Security Guide, which cover topics such as setup, foundations, philosophy, token optimization, and security. The project also has a dashboard GUI for easy management and monitoring of agents and skills.

The ECC system is designed to be extensible and customizable, with a range of APIs and interfaces for integrating with other tools and systems. The project is actively maintained, with new features and updates being added regularly.

Overall, the ECC project is a powerful and flexible framework for building and managing AI agents, with a wide range of features and tools for automating and optimizing workflows. With its active community and extensive documentation, ECC is a great choice for developers and organizations looking to leverage the power of AI agents.

Takeaway: ECC is the ultimate game-changer for AI agent management - boost your productivity and automate your workflows with ECC today!

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🧠 Channel: https://t.me/GithubRe

⚡ rohitg00/ai-engineering-from-scratch is making waves. Here's the full picture.

🔗 https://github.com/rohitg00/ai-engineering-from-scratch
📝 Learn it. Build it. Ship it for others.
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The rohitg00/ai-engineering-from-scratch GitHub repository offers a comprehensive curriculum for learning AI engineering from the ground up. It covers 20 phases and 435 lessons, with a focus on building reusable artifacts such as prompts, skills, agents, and MCP servers. The curriculum is designed to be language-agnostic, with implementations in Python, TypeScript, Rust, and Julia.

Each lesson follows a six-beat structure: read the problem, derive the math, write the code, run the test, keep the artifact, and ship it. The repository includes a web version of the curriculum, allowing users to start reading any lesson without setup or cloning.

The curriculum assumes basic coding skills but no prior knowledge of AI. It's suitable for those who want to understand how AI works and build their own AI systems from scratch. With a MIT license and open-source code, this repository provides a valuable resource for anyone looking to dive into AI engineering.

To get started, you can read any lesson on the website, clone and run the code, or use the built-in /find-your-level skill to determine your starting point.

In short, the rohitg00/ai-engineering-from-scratch repository is a comprehensive guide to building AI systems from scratch, and by the end of it, you'll have a portfolio of 435 reusable artifacts that you can apply to real-world problems. Build it, don't just learn it.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet anthropics/knowledge-work-plugins: a gem from today's GitHub trending list.

🔗 https://github.com/anthropics/knowledge-work-plugins
📝 Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
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The anthropics/knowledge-work-plugins GitHub repository offers a collection of plugins designed to enhance the capabilities of Claude, a tool used for various tasks such as sales, customer support, and product management. These plugins are built to work with Claude Cowork and Claude Code, allowing users to customize their experience and integrate with other tools.

The repository includes 11 plugins, each with its own set of features and connectors to external tools. For example, the sales plugin can help with prospect research, call preparation, and pipeline review, while the customer-support plugin can assist with ticket triage and response drafting.

To get started, users can install the plugins directly from Claude Cowork or use the command line with claude plugin install. Once installed, the plugins activate automatically, and users can access their features through slash commands.

The plugins are structured to include skills, commands, and connectors, making it easy for users to customize and extend their functionality. The repository also provides a cowork-plugin-management plugin, which allows users to create and manage their own plugins.

The target audience for these plugins includes professionals in various roles, such as sales, customer support, and product management, who can benefit from the automated workflows and integrations provided by the plugins.

One-liner takeaway: With the anthropics/knowledge-work-plugins, you can turn Claude into a specialized assistant tailored to your specific role and workflow, streamlining your tasks and boosting productivity.

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🧠 Channel: https://t.me/GithubRe

💡 mukul975/Anthropic-Cybersecurity-Skills just hit the trending charts — here's why it matters.

🔗 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 GitHub repository is a game-changer for AI agents, providing them with the security skills of a senior analyst. This open-source skills library contains 754 production-grade cybersecurity skills across 26 security domains, mapped to 5 industry frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF.

To get started, simply clone the repository or use npx skills add mukul975/Anthropic-Cybersecurity-Skills. The repository includes a quick start guide and is compatible with various AI platforms, such as Claude Code, GitHub Copilot, and OpenAI Codex CLI.

The skills are structured to provide AI agents with the knowledge they need to perform complex security tasks, including threat hunting, incident response, and digital forensics. Each skill is designed to be AI-native, with a consistent directory structure and YAML frontmatter for easy discovery.

The target audience for this repository includes security professionals, developers, and enterprise teams looking to leverage AI agents in their security operations.

In a nutshell, the Anthropic Cybersecurity Skills repository gives AI agents the security smarts they need to close the cybersecurity workforce gap — and that's a skill worth acquiring.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into hardikpandya/stop-slop — fresh off the trending list.

🔗 https://github.com/hardikpandya/stop-slop
📝 A skill file for removing AI tells from prose
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The Stop Slop skill is designed to help remove AI tells from prose, making written content sound more natural and human-like. This skill teaches language models like Claude to catch and remove predictable phrases, structures, and rhythms that are commonly found in AI-generated writing.

The skill is structured into a core SKILL.md file, along with reference files for phrases, structures, and examples. To use it, simply add the folder as a skill in Claude, upload the reference files to your project knowledge, and include the SKILL.md file in your system prompt.

Key features of the Stop Slop skill include the ability to catch banned phrases, structural clichés, and sentence-level issues, such as throat-clearing openers, emphasis crutches, and passive voice. It also comes with a scoring system to rate your writing on dimensions like directness, rhythm, trust, authenticity, and density.

The Stop Slop skill is perfect for writers and language models looking to improve the quality and readability of their content. With its easy-to-use structure and customizable rules, it's a valuable tool for anyone looking to take their writing to the next level.

The takeaway: Stop sounding like a robot and start writing like a human with the Stop Slop skill.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet Leonxlnx/taste-skill: a gem from today's GitHub trending list.

🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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The Taste Skill repo offers portable Agent Skills to upgrade AI-built interfaces with stronger layout, typography, motion, and spacing. These skills can be used with various agents like ChatGPT, Codex, or Claude Code. Key features include design-taste-frontend for a general default, gpt-taste for stricter GPT/Codex rules, and image-generation skills like imagegen-frontend-web for producing design images. To use, simply run

npx skills add https://github.com/Leonxlnx/taste-skill

and choose the desired skill. The repo is suitable for developers and designers looking to enhance their AI-built interfaces. With Taste Skill, you can elevate your frontend game and create stunning, professional-looking UIs with ease.

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🧠 Channel: https://t.me/GithubRe