Gemini

Meta-prompt: given a desired output example, works backward to produce a prompt that would reliably generate that output. Useful for reverse-engineering prompts from products you like.

Three-example few-shot prompt for sentiment classification. Handles positive / negative / neutral with reasoning. Template you can extend for domain-specific classes.

Open-source AI agent framework with a complete runtime, CLI, backend services, and web dashboard. Multi-model support (GPT-4o, Claude, Gemini, DeepSeek) with native Telegram/Discord/WhatsApp integration. Emerged as a Claude Code alternative after Anthropic paywalled third-party tool usage in April 2026.

Meta-prompt: takes an existing prompt and returns a tightened version. Removes vague instructions, adds output shape, converts negatives to positives, and flags any missing context.

Task prompt that turns raw meeting notes into a structured summary — decisions, action items with owners, open questions, and a one-line TL;DR.

Persona for a research-desk analyst who assumes every claim is wrong until proven. Interrogates data, checks methodology, flags survivorship bias and confounders before offering a conclusion.

Persona for a staff-level code reviewer who focuses on correctness, security, and long-term maintainability. Refuses to bikeshed style unless the style choice hides a real bug.

OS-like agent runtime that sits between the model and your application. LobeHub's Chief Agent Operator hires agents from a 273K skill marketplace and runs them 24/7 in the cloud, reporting through Slack, Discord, and other platforms. Model as CPU, context window as RAM.

Task prompt that classifies a user message into one of a fixed set of intents. Returns strict JSON. Good template for building fast intent routers.

Nous Research's open-source autonomous AI agent. Runs as a persistent daemon on your own infrastructure, connects to 16+ messaging platforms (Telegram, Discord, Slack, WhatsApp), and writes its own reusable skills from experience. Model-agnostic — Anthropic, OpenAI, Google, DeepSeek, Ollama.

Four-example few-shot prompt for turning natural-language questions into SQL against a provided schema. Uses PostgreSQL syntax; includes an aggregation, a join, and a filter example.