extract-knowledge

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Actualizado24 de junio de 2026 a las 04:14

Activate when the user wants to distill lasting knowledge from ANY source — PDF, web article, pasted text, codebase file, transcript, markdown doc, or book chapter. Source-agnostic replacement for extract-pdf-gems. Same workflow core; source-type-aware quality rules.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Fuente

42U

42U/laqrumcode

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Otras ocupaciones informáticasOcupaciones informáticas y matemáticas·SOC 15-1299

SKILL.md

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Activate when an insight worth keeping emerges mid-session — a surprising finding, a reusable pattern, a user correction, or a decision with rationale. Use this to write knowledge into the laqrumcode graph immediately rather than waiting for end-of-session daemon extraction (which is batch-only and can have hours of lag).

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Activate when the user asks to extract, mine, distill, or "pull gems" from a PDF, academic paper, book chapter, or research document into the laqrumcode memory graph. Also activate for phrases like "read this paper and remember it", "dense knowledge gems", "pull the insights", or when the user points at a PDF and asks to study it.

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ground-on-memory

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Activate when the user asks about state, history, prior work, codebase knowledge, or anything where injected memory should inform the response. Triggers include "what do you know about", "remember", "earlier", "last time", "we discussed", "in this codebase", "prior work", "previously", or any direct question about project/session state.

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42U/laqrumcode

Activate when user mentions "search memory", "recall", "remember", "core memory", "introspect", "memory status", "what did we do", "past sessions", "identity", "soul", or when you need to store/retrieve persistent knowledge across sessions.

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name	extract-knowledge
description	Activate when the user wants to distill lasting knowledge from ANY source — PDF, web article, pasted text, codebase file, transcript, markdown doc, or book chapter. Source-agnostic replacement for extract-pdf-gems. Same workflow core; source-type-aware quality rules.