🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
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Updated
Nov 1, 2026 - Go
Prompt engineering is the practice of designing and optimizing prompts to effectively guide large language models (LLMs) and generative AI systems. It improves AI responses by using clear instructions, relevant context, examples, and constraints to achieve accurate and reliable outputs.
🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Skill sharing made easy
MCP OAuth Proxy incl. dynamic client registration (DCR), MCP prompt analytics and MCP firewall to build enterprise grade MCP servers.
Find buried AI prompts in any codebase. Instantly⚡
A desktop workspace for crafting vivid AI personas and exploring what emerges when different personalities fuse.
Create the prompts you need to write your Novel using AI
CLI tool for bundling project files as LLM context.
Count Tokens of Code (forked from gocloc)
local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools
Easiest way to write, build, run & share your OpenAI prompts. Do prompt engineer with confidence.
Structured, spec-driven development workflow for AI coding agents.
High-performance tool for managing LLM conversations and workflows as DAGs.
MuseWeb is a Prompt Driven AI WebServer
Type-safe AI agents for Go. Suricata combines LLM intelligence with Go’s strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.
Terminal-based context management for AI driven development
Smart code context extractor for AI assistants
Your naming pal, written in Go 🐶