laqrumcode-backup-semantic

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Aktualisiert24. Juni 2026 um 04:14

Activate when the user wants to send the laqrumcode knowledge core (concepts, memories, skills, reflections, artifacts, soul) to another agent or system WITHOUT the transcript volume (turns, retrieval_outcomes, metrics). Triggers on "transfer knowledge to ilaqrum", "share laqrumcode brain", "extract just the concepts", "give my graph to another agent". For full snapshot use `laqrumcode-backup-native`; for non-SurrealDB targets use `laqrumcode-backup-jsonl`.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Quelle

42U

42U/laqrumcode

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

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name

laqrumcode-backup-semantic

description

Body in laqrumcode DB. Call mcp__plugin_laqrumcode_laqrumcode__get_skill_body with name="laqrumcode-backup-semantic" to load full instructions.

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capture-insight

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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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extract-knowledge

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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.

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extract-pdf-gems

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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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knowledge-gap-scan

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Activate when the user wants to know what they DO and DON'T know about a topic, before starting research or a project. Turns the graph from a reference library into an active planning tool by reporting coverage and explicit gaps.

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