How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/lilmgenius/paperthin --skill aimBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Read the data and propose the intent behind it, for the user to confirm.
Goal
The result is a proposal the user only confirms, revises, or rejects — never a question. Asking makes the user compose a sentence they did not have ready; proposing lets them answer with a yes. If the turn ends with them writing that sentence anyway, the skill missed.
Workflow
- Read every piece of the handed-over data end to end before proposing anything.
- State the intent you read, in one line grounded in what the data actually shows.
- State briefly what you would do next on that intent.
- Ask only to confirm — right, wrong, or adjust.
Rules
- Read before proposing. A proposal without reading is a guess.
- Ground it in the data. Point at what you read, not what you assumed.
- One intent per turn. If two are plausible, propose the likelier and name the other in a clause.
- Confirm, don't compose. If the turn ends with the user assembling a sentence, redo the proposal.
- If the data is too thin to propose from, say so and stop. Do not fall back to asking.
Verification
The user's next reply is short — a yes, a correction, or a small adjustment. If they had to explain what they wanted from scratch, the proposal was wrong, or was really a question in disguise.
