📦 mastra-ai/skills

Skills: The Knowledge Layer for Mastra

Skills is the knowledge layer that fixes outdated coding agent memory for the Mastra framework. You know how AI assistants often write code that looks right but fails because they rely on old training data? This repository solves that by giving agents a fresh, verified map of current APIs and workflows. Instead of guessing, the agent checks live documentation directly from your installed packages or remote sources before writing a single line of code. It ensures your AI assistant actually understands your specific version of Mastra, preventing frustrating errors and broken builds. This means you get accurate, production-ready code every time, without manually fact-checking the AI’s every suggestion.

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📦 mcollina/skills

Skills: Teaching AI to Code Node.js

Matteo Collina, the lead maintainer of the Node.js project, has published a public library of instructions called Skills that significantly boosts the accuracy of AI coding assistants. The repository contains carefully crafted text files that teach large language models specific best practices for building fast and secure Node.js applications. When you feed these instructions to an AI, the model stops guessing and starts writing code that follows professional standards. This is interesting because it shows that we can improve AI output simply by providing better context and clear guidelines. It turns a generic chatbot into a specialized helper that understands the nuances of server development.

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📦 neondatabase/agent-skills

Agent Skills: How AI Writes Better Database Code

Your AI coding assistant can now figure out why your database bill is suddenly expensive. The project called Agent Skills is a collection of instruction sets that teach artificial intelligence how to work with the Neon cloud database platform. Instead of guessing how to write queries, the agent reads these detailed guides to handle everything from setting up authentication to optimizing data transfer. This solves the problem of generic AI producing inefficient or incorrect code for complex backend systems. By giving the machine specific knowledge about how Neon works, it can actually fix your code and save you money.

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📦 posthog/skills

PostHog Skills: The Missing Instruction Manual for Your Data

PostHog Skills is the instruction manual that turns an AI assistant into a data expert for your product. Instead of guessing how to write queries or interpret user behavior, you now have a massive library of specific, ready-made guides for every task imaginable. It solves the problem of AI hallucinations by giving it precise, vetted steps for everything from fixing broken dashboards to tracking exactly how much your AI models cost. This is interesting because it removes the guesswork from data analysis, making sure your insights are always grounded in reality.

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📦 prisma/skills

Prisma Skills Explained

Prisma Skills is the instruction library that teaches AI coding agents how to handle databases without breaking your data. It solves the problem of unpredictable automation by packaging specific, verified guides for tasks like running migrations, setting up new clients, and upgrading complex version changes. When you ask an assistant to update your schema, the agent loads these packaged rules to ensure it follows the exact command syntax and safety protocols required for your specific database provider. This means your AI helper stops guessing at terminal commands and starts executing precise, safe database operations.

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📦 semgrep/skills

Skills: AI Coding Security

Skills is the agent toolkit that turns your AI coder into a security expert. Semgrep packaged thousands of real-world vulnerability patterns into simple instructions your coding assistant reads automatically. The standout feature is how it handles AI applications; it teaches your bot to spot prompt injection and data poisoning attacks before they happen. Instead of relying on guesswork, the agent checks specific rules for every line of code you write. It covers everything from database queries to cloud settings, ensuring your AI never suggests unsafe shortcuts. You install it once, and your helper instantly knows how to keep your software safe without you needing to memorize complex security standards.

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📦 0xkuch/fibo

Fibo: The Truth About Your Estimates

Your code history knows exactly how much your time estimates lie. A new tool called Fibo acts like a blame report for your promises, comparing what you said a task would take against the real hours you spent coding it. It calculates your personal multiplier, revealing that while you think you need two days, you actually take nearly three times that long. By pulling data straight from your Git history and trackers like Jira, it shows you exactly where your intuition fails, without needing a database or a server.

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📦 alex314618-create/jevrev

JevRev: The Decision Layer for Your AI

JevRev stops your coding agent from burning cash on bad ideas. It acts as a strict filter between your LLM and the final code, forcing the AI to prove its choices before moving forward. The coolest part is how it handles a simple task like speeding up a data parser. The AI suggests a quick shortcut that looks perfect on paper, but JevRev runs a real test and catches the hidden error immediately. Instead of blindly trusting the first answer, it audits the evidence and picks the slower, reliable method that actually works. It turns guesswork into a verified process you can inspect.

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📦 resend/resend-skills

Resend Skills: Give Your AI an Inbox

Teach your coding assistant to actually send and receive email for you. This collection hands your AI agent a secure inbox so it can reply to messages without you manually wiring up every server. The coolest part? It builds in safety rails that stop random strangers from using your bot to execute shady commands. It handles the messy background work of verifying who is sending an email before your AI even sees it. No more guessing if a message is legit; your agent just knows. If you are building smart assistants, this is the missing piece that makes email conversations feel real and safe.

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📦 amitshekhariitbhu/ai-engineer-roadmap

The AI Engineer Roadmap

One person mapped out the entire journey to becoming an AI engineer, breaking down eighteen distinct steps with a free blog for every single concept. It is not just a list of tools, but a structured path that starts from basic machine learning foundations and walks you through the inner workings of transformers, how models actually generate text, and how to build reliable agents. The real value here is the plain language. Instead of drowning you in academic papers, it explains complex ideas like attention mechanisms and vector search in simple terms anyone can follow.

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📦 amitshekhariitbhu/ai-engineering-course

The Complete AI Engineering Path

One repository now maps the entire journey from basic machine learning to complex AI system design, a rare feat for a free resource. This course guides developers through neural networks, transformers, and large language models, covering practical steps like fine-tuning and building AI agents. It also tackles critical areas often ignored, such as model evaluation and AI safety, ensuring you understand not just how to build these systems, but how to maintain them responsibly. The material is structured to take you from fundamental concepts to advanced engineering challenges, making it a comprehensive roadmap for anyone serious about mastering modern artificial intelligence.

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📦 anishfn/shapeshift

Shapeshift: The Input That Becomes What You Mean

Shapeshift lets you type a single sentence and watch a plain text box instantly morph into the exact tool you need, turning your raw words into a working calendar invite, bill splitter, or countdown timer. It solves the annoying habit of opening five different apps just to handle quick daily tasks, all from one smart input field. The coolest part is that it works entirely offline using a built-in keyword classifier, so you get that instant, magical morphing effect without needing an internet connection or a heavy AI backend. If you love seeing text turn into useful, interactive widgets on the fly, this is the project to check out.

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📦 ashleydarosa/cc-checker-validator-generator

cc-checker-validator-generator

This command line tool lets you instantly generate and test mock payment card numbers that bypass basic frontend validation checks without hitting the live network. By mimicking the math behind real payment networks, the software builds perfectly structured test numbers that pass the industry standard Luhn checksum algorithm out of the box. It is built for developers who need to run rigorous checkout forms through their paces across major card brands using completely offline, custom generation templates. You can easily test edge cases, look up issuer bank identification numbers, and export bulk batches to format files like comma separated values.

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📦 asokurasu/text-humanizer

text-humanizer

You can now automatically strip away the mechanical, robotic feel of computer-generated writing without paying a dime. The project text-humanizer is a clever open-source tool that routes your text through a multi-step linguistic pipeline to make it sound completely natural. Instead of just swapping words, it translates your content across multiple languages—like Turkish, Japanese, and Chinese—using translation engines like DeepL and Google, before reconstructing it back into your original language using a DeepSeek language model. This process naturally distorts rigid sentence structures and eliminates repetitive patterns, leaving you with smooth, human-like writing that easily slips past most automated detectors.

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📦 caxete/crypto-tax-calculator

Crypto Tax Calculator: The All-in-One Tax Solver

This open-source tool ingests raw trade data from over thirty exchanges and wallets, automatically sorting your complex history into a single, audit-ready tax report. It solves the nightmare of manually tracking every staking reward, airdrop, and swap by applying precise tax rules to your specific jurisdiction. You simply drop in your CSV file, and the engine handles the rest, fetching historical prices to calculate your exact capital gains. It is built for transparency, ensuring you pay the right amount without the headache. If you hold crypto, this is your shortcut to compliance. Stop guessing and start calculating.

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📦 bridge-mind/bridgeclip

BridgeClip: The Open-Source Clipping App

BridgeClip turns massive video files into captioned shorts directly on your computer. It finds the best moments using AI, cuts them into the perfect aspect ratio, and burns in stylish word-by-word text. The coolest part is that everything happens locally. Your data, your keys, your machine. No middleman servers. Just a clean, open-source tool that respects your privacy while doing the heavy lifting for you. It is the smart, private way to handle your content workflow. If you create long-form video, this is the missing piece in your desktop setup. Stop letting cloud services hold your footage hostage. Get control back with BridgeClip.

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📦 edison-land/paragravity

ParaGravity

ParaGravity is the command-line tool that lets you run multiple Google Antigravity accounts simultaneously without touching the application itself. If you use AI coding agents, you know the frustration of hitting usage limits or needing separate environments for different clients. This tool solves that by creating isolated, independent copies of the app for each account. It does this safely using standard browser features, so your original installation remains untouched. Each profile gets its own folder, its own login, and its own data, meaning you can switch between personal and work projects instantly.

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📦 codejunkie99/keel

How Keel Actually Codes

Keel runs a local AI model directly on your Mac to decide how your coding agents should act. It is a native macOS workspace that unifies your editor, terminal, and multiple AI providers into one window. The interesting part is its decision layer. Instead of blindly following one model, Keel uses a local selector to pick the best route for a new task, and then a host system validates that choice before it runs. This means you get a local, private way to steer AI coding tasks without sending your code to the cloud for every decision.

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📦 fbddcz/embodied-jev

Embodied Jev: The Robot Workbench

Embodied Jev is the robot decision workbench that shows you exactly how a brain talks to a body. It lets researchers watch a digital robot arm make choices in real-time physics, comparing different thinking models side by side. You can see the arm move, check if it actually succeeds, and compare costs instantly. No guessing, no black boxes, just clear evidence of what worked and what failed. This tool turns complex robot testing into a transparent, visual experience for anyone who wants to understand how AI actually controls machines. It is the cleanest way to see robot intelligence in action.

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📦 ferrycorleone/crush-monitor

Crush Monitor

Decode how your crush really feels about you by feeding your chat history into this clever tool. Instead of overanalyzing every single line yourself, you paste your text exports from WeChat, WhatsApp, or iMessage into a clean, locally hosted dashboard. It uses a specialized structured judgment model called Jev with your own API credentials to break down emotions, categorize intentions, and even grade your own replies from SSS down to D. It scores their engagement, care, and openness over time while keeping all your sensitive conversations safely stored in your own browser's local database.

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📦 glaz-boga-poisk-bot/glaz-boga

Глаз Бога: поиск по ID и нику

Find who someone is by just their phone number, email, or Telegram ID. That is exactly what the project called Глаз Бога does. It digs through open, archived, and previously leaked records to connect those identifiers to a specific person. You type in a handle or contact detail, and it searches through massive amounts of public and old data to find matches. It is not about spying, but about seeing what information is actually floating around out there. It helps you understand how easy it is to link a digital identity to a real human being. The more data is available, the more accurate the results become.

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