Hottest heavyweights

Composable prompt recipes that force coding agents to align, test, and architect instead of blindly generating code.

A Claude Code framework that automates job hunting with fit scoring, LaTeX document tailoring, and a two-agent review loop.

One markdown file distills Andrej Karpathy's critique of LLM coding failures into guardrails for Claude and Cursor.

Graphify builds a queryable knowledge graph from your whole project so AI assistants can answer architecture questions without grepping raw files.

It encodes senior engineering workflows into structured Markdown prompts so AI agents stop winging it.

Why rebuild the same RAG pipeline or agent loop from scratch when you can fork a working template instead?

Voicebox is a local-first alternative to ElevenLabs and WisprFlow that clones voices, dictates anywhere, and gives AI agents a mouthpiece — all without shipping audio to the cloud.

It gives LLM agents real brokerage access, then cages live trading inside strict mandates, kill switches, and audit ledgers.

Taste-Skill is a collection of portable prompt files that teach coding agents to generate layouts, type, and motion that don’t look like they came from a 2015 Bootstrap tutorial.

A ruleset that treats every line of generated code as an admission of defeat.

It forces your AI coding agent to ask what you're building, write a plan, and get sign-off before it writes a single line of code.

Because no single AI has API access to every platform, this skill lets your agent search Reddit, X, TikTok, and Polymarket in parallel and score results by human engagement.

Because making AI agents read Twitter, Reddit, or Bilibili usually means wrestling with a dozen scrapers, API keys, and cookie jars.

Hermes exists so you can stop re-teaching assistants that are supposed to remember, and run them on a $5 VPS instead of your laptop.

A Go proxy that handles OAuth login for Claude Code and Codex so you can call them through standard API clients.

Firecrawl turns search, scraping, and browser interaction into a single API so your agents can read the web without wrestling with proxies, rate limits, or JavaScript rendering.

An open-source system that turns AI coding assistants into autonomous video studios, handling research, scripting, asset generation, and final render.

It gives AI coding assistants a structured taste filter, mapping vague project descriptions to industry-specific colors, fonts, and anti-patterns.

An MCP server that turns your entire codebase into a queryable knowledge graph, running locally with zero dependencies to cut AI agent token usage by 99%.

It packages marketing playbooks into markdown skills that turn AI coding agents into growth collaborators for founders and technical marketers.