AI Agent Skills

Connect to MongoDB and Atlas and directly from your VS Code environment, navigate your databases and collections, inspect your schema and use playgrounds to prototype qu…

A PHP library to back up, restore and anonymize databases

Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

Graphical Java application for managing BibTeX and BibLaTeX (.bib) databases

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

zerocode-tdd is a community-developed, free, open-source, outcome-driven automated testing for microservices APIs, Kafka(Data Streams), Databases and Load scenarios. all…

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Android APK hooking, Frida tracing, request-signing recovery, SSL pinning bypass, JNI bo…

AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyon…

Use git worktrees to run multiple coding agents in parallel on one repo without collisions. Use when starting a task in a shared repo, when the user says "worktree", "pa…

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when c…

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.

The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can rel…

Turn Termux into a complete development workstation with AI coding agents, a modern code editor, databases, automation, and developer tools.

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

Use when planning legacy system migrations, codebase modernization, monolith decomposition, microservices consolidation, cross-language rewrites, or framework upgrades.…