Stars
Custom output voices for ChatGPT, Codex, and Grok Bot — local and near real time.
Use ChatGPT Web (including Pro) as a native model in Codex — with context, tools, streaming and images, without using Codex quota.
An AI prompt optimizer for writing better prompts and getting better AI results.
Score how well a resume matches a job description using Jev (TypeSafe AI). Next.js app that returns typed, explainable match scores instead of generated text.
Plan, run and supervise fleets of agents from task to merged PR. Desktop (macOS, Windows, Linux) + iPhone & Android apps. Supports Claude Code, Codex & 35+ coding agents.
Skills that drive best-in-class engineering
Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. Windows, iOS testflight! Android, Linux waitlist open! A local Wispr Flow alternative. Follow https:…
Persistent, searchable engineering memory for AI coding agents. Saves ~50% tokens and ~30% time while planning
Open-source hub for frontend interview experiences, curated jobs, and resources — 106+ stories from 100+ companies.
A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and…
10.1 billion tokens per month. 87 free LLM providers. 1,313 free model endpoints. All behind one /v1 endpoint, plus any custom OpenAI-compatible endpoint. Smart routing, automatic failover, encrypt…
Stop context-switching. Start batch-planning. Conducty replaces the fragmented cycle of plan → prompt → wait → get distracted → review → fix → repeat with advanced batch planning
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Skills for Real Engineers. Straight from my .agents directory.
Painless E2E Automation for Mobile and Web
An agentic skills framework & software development methodology that works.
Free, Micro AI Code Reviews That Run on Git Commit
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The non profit fostering AI in India through credits, grants, resources
Make your job hunt easy by automating your application process with this Auto Applier
Curated front end system design resources for interviews and learning
Top JavaScript interview questions and answers for Frontend Engineers (updated for 2026)
It maintains my version of namaste js notes which I learnt from Namaste JS YouTube Playlist by Akshay Saini (@akshaymarch7).
A curated list of data structures and algorithms problems along with the solution in JavaScript to crack engineering interviews