akankshagupta37776-ux

AI Lab — AI skill for Claude Code

AI community

A growing collection of AI-powered projects, interactive dashboards, Claude Skills, prompt engineering systems, experiments, and research.

How to install AI Lab

This entry records only its repository, not the path inside it, so there is no exact command to give. Open akankshagupta37776-ux/ai-lab and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI Lab does

A growing collection of AI-powered projects, interactive dashboards, Claude Skills, prompt engineering systems, experiments, and research. This repository showcases practical work at the intersection of generative AI, automation, data analysis, AI evaluation, and human-centered problem solving.

Alternatives in AI

  • Real-World Pain Points — Project: https://github.com/Narwhal-Lab/MagicSkills For many teams building multi-agent systems, the first thi 277 ★
  • Codeflow — OpenVibeCoding is the command tower for AI engineering: plan, delegate, track, resume, and prove long-running 206 ★
  • Compound Knowledge Plugin — AI-powered workflows for knowledge work: brainstorm, plan, review, execute, and save learnings 186 ★

README

ai-lab

Welcome to my AI Lab — a growing portfolio of practical work exploring Generative AI, AI systems, automation, data analysis, AI evaluation, prompt engineering, and human-centered problem solving.

This repository documents projects, experiments, tools, and ideas developed while exploring how AI can be turned into useful, reliable, and practical systems.

🚀 What You'll Find Here

🤖 AI Systems & Automation

Experiments with AI-powered workflows, automation systems, and structured problem-solving frameworks.

📊 Interactive Dashboards

AI-assisted dashboards for analyzing data, identifying patterns, monitoring performance, and communicating insights.

🧠 Claude Skills

Custom Claude Skills designed for specialized tasks such as research, analysis, content workflows, and business processes.

✍️ Prompt Engineering

Structured prompts, prompt systems, and reusable AI workflows designed to improve the quality and consistency of AI outputs.

🔬 AI Evaluation & Reasoning

Experiments exploring how AI responses can be evaluated beyond fluency — including correctness, reasoning quality, assumptions, evidence, and reliability.

📚 Research & Experiments

Notes, prototypes, frameworks, and experiments exploring emerging questions around AI, knowledge, reasoning, and human-AI interaction.

🗂️ Repository Structure

ai-lab/ │ ├── dashboards/ │ └── interactive-dashboard-projects/ │ ├── claude-skills/ │ └── specialized-ai-skills/ │ ├── prompts/ │ └── prompt-engineering-systems/ │ ├── research/ │ └── ai-evaluation-and-reasoning/ │ ├── experiments/ │ └── ai-experiments/ │ └── README.md

🎯 Purpose

The goal of this repository is to build a public record of practical AI work while continuously experimenting, testing, improving, and documenting new approaches.

I am particularly interested in the question:

«How can we make AI not merely fluent, but genuinely useful, reliable, and intelligently evaluated?»

🛠️ Tools & Technologies

  • Generative AI
  • Claude
  • ChatG