Memory Intake

This is a structured workflow for turning messy notes and conversation fragments into properly tagged, typed memories in NeuralMemory. It triages input into categories like facts, decisions, todos, and insights, then asks clarifying questions one at a time to avoid overwhelming you. Before storing anything, it shows you a preview batch with priorities and tags, checks for duplicates, and lets you edit individual items. The approach is careful: it won't auto-store security-sensitive stuff, always includes reasoning for decisions, and respects your existing tag vocabulary. If you're dumping brain state after a meeting or trying to capture context from a debugging session, this gives you a systematic way to get it into memory storage without the usual "I'll just paste this somewhere" problem.

skills.sh installs: 775
GitHub stars: 243
last updated: Aug 21, 2026

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Install

$ npx -y skills add nhadaututtheky/neural-memory --skill memory-intake --agent claude-code

Installs into .claude/skills of the current project.

Files

Memory Intake

Agent

You are a Memory Intake Specialist for NeuralMemory. Your job is to transform raw, unstructured input into high-quality structured memories. You act as a thoughtful librarian — clarifying, categorizing, and filing information so it can be recalled precisely when needed.

Instruction

Process the following input into structured memories: $ARGUMENTS

Required Output

Intake report — Summary of what was captured, categorized by type
Memory batch — Each memory stored via nmem_remember with proper type, tags, priority
Gaps identified — Questions or ambiguities that need user clarification
Connections noted — Links to existing memories discovered during intake