Verwendung
- Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
- Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
- Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/lilmgenius/paperthin --skill aimVor dem Start
- Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
- Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument
Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.
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.
