Enter the prompt below into Claude Code, Codex, or any AI coding agent.
Read aipel.co.uk/aipe.txt to load the AIPE Labs power electronics resources and help me start a design.
The link is an open resource index, not a software package you need to install.
Most ways to bring domain data into an AI workflow mean a new app, new logins, and API keys to manage. The AIPE Labs resource link skips all of that.
No API keys to generate, store, or manage. Paste one prompt and your agent reads our resource index directly — you are designing in minutes, inside the agent you already use.
Transistor and magnetics databases, design references, prototype case studies, and the skills and packages we publish on GitHub — everything is reachable through the same link.
The index uses the web access already available to your coding agent. AIPE Labs does not require a separate login, credit balance, or subscription to read the open resources.
To start, paste this into your agent:
Read aipel.co.uk/aipe.txt to load the AIPE Labs power electronics resources and help me start a design.
Start with a job and let your agent discover the most relevant resources currently available through the index.
“Shortlist SiC devices for a 10 kW, 800 V DC-DC stage” — ask the agent to find available AIPE device data and selection tools relevant to your constraints.
“Size the transformer for a 100 kHz DAB” — ask the agent to locate magnetic design references, material data, and reusable workflows in the ecosystem.
“LLC or DAB for this spec?” — use the index to discover converter references and tools that support an efficiency, density, and control comparison.
“Estimate losses at full load” — find relevant characterisation data, modelling packages, and thermal-analysis resources before carrying out the calculation.
“How did AIPE Labs approach its 2 kW DAB?” — let the agent locate the published case study and any related design resources.
“Draft a test plan for this converter” — find available measurement, sensing, and validation references to support a reviewable test plan.
It is a simple way to help an AI coding agent discover power electronics resources. One prompt points the agent at aipe.txt, which links to the knowledge, tools, specialist agents, datasets, and engineering work that AIPE Labs publishes.
There is nothing to install. Copy the prompt at the top of this page, paste it into Claude Code, Codex, or any AI coding agent with web access, and the agent loads the resources itself — no account, no API key, no configuration.
A plain-text index written for language models. It summarizes everything AIPE Labs publishes — our skills, packages, and agents on GitHub, plus the databases and design references on this site — with a link and a one-line description for each, so an agent can navigate straight to what it needs.
On our GitHub. We are actively building power electronics packages, skills, and agents there — aipe.txt always points to the latest, so your agent picks up new skills as soon as they are published.
Yes. Any AI agent that can fetch a URL can use it — Claude Code, Codex, Cursor, or your own agent framework. The index is plain text, so nothing about it is tool-specific.
No. The index and linked open resources can be read inside your existing agent session. For collaboration around the full Power Electronics AI Agent — including physics-guided optimization, control synthesis, and validation workflows — get in touch.
The open link helps your agent discover published resources. Our longer-term Power Electronics AI Agent brings those resources into physics-guided optimization, control synthesis, and validation workflows.