Prompts
Prompts
A curated library of ready-to-use prompts for AI models, agents, and automation workflows. Copy, tweak, and ship.
Extract a minimal, concrete reproduction from a messy user-written bug report before you spend time trying to reproduce it yourself.
Get a structured, decision-ready comparison of two implementation options instead of a wishy-washy 'it depends' answer.
Write a tool/function definition an LLM agent will actually call correctly — the part most tool-use bugs trace back to.
Turn a raw incident timeline into a structured, blameless postmortem with concrete follow-up actions instead of vague promises to 'do better.'
Turn a use case into a concrete Model Context Protocol server design — which tools, which resources, and where the boundary between them should sit.
Extract clear owners, deadlines, and decisions from rough meeting notes without losing the details that matter.
Have a model attack-test your agent's system prompt for prompt injection and instruction-override risks before real users do.
Turn a raw error and stack trace into a ranked list of likely root causes instead of a guess-and-check debugging session.
Turn a feature description into a concrete test plan that actually covers edge cases, not just the happy path.
Turn a plain-language automation idea into a concrete trigger-action blueprint for Zapier or Make, including where it will break.
Generate a production-ready system prompt that enforces strict JSON/schema compliance, negative constraints, and few-shot examples for reliable automation.
Systematically figure out why a retrieval-augmented generation pipeline returned a wrong or irrelevant answer.
Cut a technical draft down to its essentials without losing precision or turning it into marketing fluff.
Turn a plain-language automation idea into a concrete, node-by-node n8n workflow plan.
A reusable skeleton for writing a system prompt for a tool-using AI agent — role, tools, guardrails, and output format.
Get a clear, jargon-aware explanation of a technical concept, pitched at exactly the right level.
Have an AI model review a diff for correctness, security, and maintainability issues before you open a PR.