SLYE: Speak like you eat

SLYE adds a plain-language rewrite of the agent's answer in a separate card under the original, on /slye or automatically.

  • 140 ★ on the repository
  • Last commit
  • MIT
Plugin

Minimal access

Why this level

  • The agent answer text goes to the selected model through the host model registry.
  • Automatic mode spends requests after every eligible answer.
All reasons and checks

wtfzambo/speak-like-you-eat

Install

Manual install

pi install npm:speak-like-you-eat

First README command: for all projects. The `-l` flag installs for the current project only.

Access and checks

How we review

Minimal accessThe tool runs nothing and makes no network calls.

  • The agent answer text goes to the selected model through the host model registry.
  • Automatic mode spends requests after every eligible answer.

This is third-party code. Review the repository files before installing.

What it does

SLYE, a package for Pi and Oh My Pi, adds a card with a jargon-free rewrite after a completed answer. The original stays on screen unchanged, and the card never enters the model context. `/slye` rewrites the latest answer on request, `/slye on` enables automatic rewriting, `/slye off` disables it and `/slye model` picks the model. On Pi a card has two tabs: ELI5 opens with the conclusion and required actions, while Light stays close to the original wording. A custom system prompt goes into a `slye-prompt.md` file.

Who it is for. People who read long agent answers in Pi and lose time decoding jargon and lists of steps.

Good fit when

  • The agent produced a long technical report and a two-sentence conclusion is needed.
  • An answer is a pile of terms and the reader must work out what to do next.
  • Automatic rewriting is enabled for long answers so nobody has to ask each time.
  • A cheap fast model handles only the rewrite while the main model does the work.

Not a fit when

  • A short answer needs a rewrite, while automatic mode starts at 200 characters of prose.
  • Work happens in Claude Code or Cursor, but the package targets Pi and Oh My Pi.
  • The original answer must not be sent to a second model.

Example request

Rewrite the latest answer in plain language with `/slye` and keep the code and commands unchanged.

Limitations

A current Pi release is required, and older ones are unsupported. On Pi each rewrite makes two provider requests in parallel and costs roughly twice a single one, while Oh My Pi makes one. Automatic mode works only for a normally completed answer of at least 200 characters of prose outside code blocks. The model ranking in the README rests on a small manual trial and is no guarantee: compare the result with the original answer, especially code examples.

How to disable. Run `/slye off` to stop automatic rewriting, or remove the package with Pi or Oh My Pi tooling. The saved model and settings live in the Pi configuration.

FAQ

How do I install SLYE in Pi?

Run `pi install npm:speak-like-you-eat` for all projects or `pi install -l npm:speak-like-you-eat` for the current one. Oh My Pi uses another command: `omp plugin install speak-like-you-eat`.

What happens on the first `/slye`?

With no usable model, a model and scope picker opens. The choice is saved with automatic rewriting off, and the first rewrite runs immediately.

How do the ELI5 and Light tabs differ?

ELI5 rebuilds the answer for a reader who wants the point: conclusion, actions, steps, facts and open decisions. Light stays close to the original wording or to your prompt. Switch tabs with `ctrl+\`.

Which models does the author suggest?

The README names Claude Haiku 5.5, GPT-6 Luna, DeepSeek V4.1 Flash and Gemma 4 31B in that order. These are observations from a small manual trial, not guarantees.

How do I cancel a rewrite?

Press Escape. Cancellation, a timeout or a provider failure leaves the original unchanged, and you can retry manually.

Discussion

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README in short

The README explains the commands, ELI5 and Light tabs, recommended models and guarantees: the original is untouched and the card stays out of context. Details live in the specification and benchmark report under `backlog/docs`.

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