200+ AI Prompt Library
200+ battle-tested AI prompts for writing & coding
200+ AI Prompt Library launched on May 25, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Most people use AI wrong: vague prompts, mediocre answers. This library gives you 200+ battle-tested prompts for writing, coding, analysis, and agents, plus a master guide to 8 core techniques: role prompting, chain-of-thought, few- shot examples, constraints, output-format control, the scratchpad technique, iterative refinement, and persona seeding. Every technique includes before/after examples and failure modes.
Most people use AI wrong. They type a vague question, get a mediocre answer, and conclude that AI isn't that useful. Then they watch someone else get stunning results from the same model. The difference isn't the model. It's the prompt. **What's in the Prompt Engineering Library:** **Master Guide — 8 Core Techniques (30 pages)** Role prompting, chain-of-thought, few-shot examples, constraints and
Does a similar job
all alternatives →
Prompt Rulebook & Templates2025 · promptquick.ai · ▲14Tired of vague AI answers? Get better results from ChatGPT with PromptQuick. Download your free sample!


AI Prompt Library2024 · ai-prompt-library-iota.vercel.app · ▲10Create, Share, and Discover AI Text Prompts

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com