Prompeteer.ai creates prompts and SKILL.md agent skills from a task description and the context you provide. Choose a supported target model or coding agent, add relevant files or Memory context, and review the generated instructions. PromptDrive stores work for reuse. Prompt Score provides feedback across 16 quality dimensions; it does not guarantee factual accuracy or the result produced by another model. Skills Hub offers skills with source information and security-screening results. Installation and supported capabilities vary by client.
Create prompts and agent skills from your task and context. Choose a supported model, add relevant sources, and review the instructions before use. Pro adds Memory.
Prompeteer.ai reports users in 160 countries and zero paid acquisition as of 2026-09-09. Prompt-generation language options cover 129 languages; interface and feature localization vary.
From intent to governed, reusable AI work in three clear steps.
- 1. Type — Type what you want to achieve with AI in plain, everyday language. No prompting expertise required.
- 2. Add Context — Prompeteer combines your intent, selected platform, files, and context into a structured, model-ready instruction.
- 3. Ship — Run the prompt or skill in your chosen AI platform, then save, reuse, and govern it from your Drive.
Your context, portable.
Prompeteer Memory turns the documents you choose into a private knowledge base that travels across supported models, apps, and tasks and can ground new work in your sources.
- Never re-explain yourself — Durable, private knowledge pages replace context that would otherwise stay trapped in individual chat histories.
- Curates automatically — Supported files are extracted into linked pages with their source references preserved.
- Grounded generation — Supported generation flows can use your Memory and return source citations when Memory is enabled.
Two Pillars. One Platform.
Create contextual prompts and SKILL.md agent skills for supported models and coding agents. Check each client’s installation requirements before use.
Prompeteer brings context, harnesses, and graphs or loops together to create governed prompts, skills, and agents, protected by Prompeteer Secure Scan.
- Expert Prompts — Turn a task description into instructions for a supported AI model or app, with optional source context and quality feedback.
- Agent Skills — Reusable SKILL.md instruction files for compatible AI agents. Check the required tools, source information and scan results before installation.
- Quality feedback — Evaluate and refine prompt structure across 16 quality dimensions. Automated feedback supports your review; it does not verify every claim or predict every answer.
Great skills, delivered with security built in.
Skills Hub brings together high-quality agent skills from curated upstream repositories and runs each import through Prompeteer Secure Scan before it is made available.
- Curated source provenance — Every skill stays connected to its upstream source and version history, so teams know where it came from and what changed.
- Multi-layer risk review — Static-risk checks, URL analysis, and semantic prompt-injection review work together to identify suspicious instructions and links.
- Passed before delivery — Critical risks are blocked. Advisory, review-required, runtime-verification, and incomplete results are held. Only Passed skills appear in Skills Hub.
Frequently Asked Questions
Is there a free trial?
Start with the Free plan without a paid subscription. Paid-plan trial eligibility, duration and payment requirements are shown at checkout when an offer is available; a 14-day trial is not guaranteed.
What are Agent Skills and how are they different from prompts?
Prompts are instructions for an AI model. Agent skills package reusable instructions in SKILL.md files, following the agentskills.io format. Compatible clients can load them for a task; installation, tool permissions and behavior vary by client. Both prompts and skills can be browsed on Prompeteer.
What is Memory, and which plans can ask it questions?
Free accounts can preview Memory. New document uploads require Pro or Enterprise, and the ask_memory grounded Q&A tool requires Pro access. Authorized existing sources can be browsed and searched. Enterprise adds governance controls.
What is MCP?
MCP (Model Context Protocol) is a standard that lets AI tools like Claude and Cursor connect to external services. Think of it like USB for AI: a universal way to plug in new capabilities.
Turn your next AI task into instructions you can reuse.
Private prompts, Memory and reports require authorization. Confirm required controls and contractual terms before using sensitive data.
- Privacy and access controls
- Private by design
- Own your IP
- Review data handling
Explore the work around every prompt
- AI Discovery readiness — See how a public website becomes measurable evidence for answer engines.
- AEM action planning — Turn discovery findings into owned, verifiable content and product work.
- Sample report — Review a dated example with model answers, citations, sentiment and actions.
- Skills Hub — Browse portable SKILL.md workflows for the agents your team already uses.
- Measurement guide — Learn how completion, mentions, citations and position are calculated.
- Plans and access — Compare the public Free, Pro and Enterprise paths before you start.