LLMOps · Eval

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

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.

Impeccable exists to stop AI coding assistants from defaulting to the same handful of SaaS-template tells—Inter everywhere, nested cards, purple gradients—by giving them a curated design vocabulary and 27 deterministic anti-pattern rules.

Automates the full pipeline from multi-market data ingestion to LLM-generated decision reports pushed straight to your team chat.

It corrals 500+ news feeds and dozens of data streams into one dashboard so you can monitor geopolitical, financial, and infrastructure signals without sending everything to a cloud LLM.

Paperclip exists because twenty Claude Code tabs and a folder of bash scripts do not constitute a company.

Hallmark is a design skill that stops Claude, Cursor, and Codex from producing the same generic AI slop.

Juggling Claude Code, Codex, Gemini CLI, and friends from separate terminals gets old fast.

AirLLM slices giant transformers into layer shards so they fit in consumer VRAM without quantization or distillation.

Because verbose AI explanations waste tokens and patience, this skill makes agents talk like cavemen—terse, accurate, and cheap.

It strips the telltale signs of AI-generated writing from text, replacing statistical blandness with prose that sounds like it came from a person.

Hello-Agents is a free, 16-chapter curriculum that teaches developers to construct truly AI-driven agents from first principles rather than wiring no-code workflows.

gstack turns Claude Code into a structured engineering team so a single founder can ship like a twenty-person startup without writing most of the code.

It builds a persistent structural map of your codebase so AI assistants read only the files in a change's blast radius instead of the whole repo.

A Claude Code skill suite that automates academic grunt work while keeping humans in the loop to catch the hallucinations that fully autonomous AI scientists miss.

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 turns a single keyword into a finished HD short video by automating scriptwriting, stock-footage sourcing, voice synthesis, subtitling, and final render.

Headroom sits between your agents and the LLM to compress tool outputs, logs, and RAG chunks, delivering the same answers with a fraction of the tokens.

rtk intercepts common dev commands and feeds your AI only the compressed essentials, slashing token consumption by 60–90%.

n8n gives technical teams visual workflow automation without trapping them in a GUI when they need JavaScript, Python, or npm packages.