Prompt engineering, system prompts, and reusable patterns.
372 posts
OpenAI Codex CLI settings, configurations, skills and prompts for vibe coding
The guide to building a "second brain" (give it to your chatbot) https://natural20.com/using-claude-code-to-setup-a-second-brain-aka-llm-wik...
Research-backed skills, prompts, and configs for LLM agent tools. Built from arxiv papers and reverse engineering top AI products.
A FastAPI and MCP server connected to Supabase table for managing, testing, and programmatically accessing LLM System Instructions, System P...
✈️ 24-tool MCP server for Claude Code: preflight checks for your prompts, cross-service context, session history search with LanceDB vectors...
MCP server for scheduling and running AI prompts, HTTP/webhook requests, and shell commands
A developer-friendly MCP (Model Context Protocol) framework for Dart with annotations and code generation. Build MCP servers as easily as an...
Elixir implementation of the Model Context Protocol (MCP) — build servers to expose tools, resources, and prompts to LLM applications.
This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Pe...
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking...
Open-source runtime security rules engine for MCP servers and AI agents. Detects prompt injection, command injection, jailbreaks, and data e...
Local Codex MCP harness: contracts, persistent RAG memory, raw traces, verification records, governance policy and PASS/FLAG/BLOCK audits, o...
