memory-intake

Convert raw notes into typed memories with tags and confidence scores.

235|66|Updated Feb 4, 2026

Search Tags:#recall #memory #tagging #data-quality #intake #structured-memory

Ready to run

npx skills add https://github.com/nhadaututtheky/neural-memory --skill memory-intake

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-intake
Source: https://github.com/nhadaututtheky/neural-memory/tree/main/.claude-plugin/skills/memory-intake
Command: npx skills add https://github.com/nhadaututtheky/neural-memory --skill memory-intake

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts raw notes, conversations, and thoughts into reliable, structured memories with clear types, tags, and confidence scores.

Core Features & Use Cases

Triage and classify input into types (fact, instruction, todo, etc.)
Generate memory batches with proper typing, tags, priority, and connections
Identify gaps and relationships to existing memories for context

Quick Start

Provide raw input to the Memory Intake Specialist to generate a structured intake report.

Frequently Asked Questions about memory-intake

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert raw notes into structured memories with tags?▼

To convert raw notes into structured memories, this skill automates the intake process by triaging input, assigning typed classifications like fact or instruction, generating tags, and applying confidence scores.

What is the best way to classify brainstorming transcripts into typed data?▼

Classifying brainstorming transcripts into typed data is handled through a triage-to-batch pipeline that categorizes text, enriches it with tags and priority, deduplicates content, and prepares it for storage hooks.

Can I deduplicate existing memories when adding new notes?▼

Yes, you can deduplicate existing memories when adding new notes because the intake pipeline includes a deduplication stage that identifies relationships to existing memories for context.

Does this memory intake process assign confidence scores to extracted facts?▼

Yes, the memory intake process assigns confidence scores to extracted facts, ensuring that every classified input item receives a typed memory entry complete with priority and connection metadata.

When do I need to use a structured memory intake pipeline?▼

You need to use a structured memory intake pipeline when you have raw notes, conversations, or thoughts that require reliable classification, enrichment, and deduplication to produce searchable, typed memory batches.