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zcaceres
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memory-insights

Parse memory directories to generate behavioral insights about user temperament and values.

7|Updated May 28, 2026
Search Tags:#productivity#insights#memory#meta-cognition#reflection#agent-behavior
One-click install
npx skills add https://github.com/zcaceres/skills --skill memory-insights-zcaceres
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-insights
Source: https://github.com/zcaceres/skills/tree/main/skills/memory-insights
Command: npx skills add https://github.com/zcaceres/skills --skill memory-insights-zcaceres

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the lack of self-awareness in long-term AI-assisted workflows by analyzing the agent's accumulated memory to provide objective, non-obvious feedback about the user's temperament, values, and operational blind spots.

Core Features & Use Cases

  • Cross-Project Synthesis: Aggregates memory stores from the current project or across all projects to build a comprehensive profile.
  • Behavioral Analysis: Infers human traits and patterns from operational notes, corrections, and project history.
  • Use Case: Use this when you feel stuck in a project and want a fresh, objective perspective on your working style or recurring habits that might be hindering your productivity.

Quick Start

Ask the agent to provide memory insights by typing /memory-insights or by asking what it notices about your working style based on its memory.

Frequently Asked Questions about memory-insights

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

FAQPage Schema
How do I analyze accumulated AI memory to uncover my behavioral blind spots?▼

To analyze accumulated AI memory for blind spots, the skill parses project-specific or global memory directories to synthesize patterns in your temperament, values, and recurring operational habits without modifying existing data.

How does meta-cognition analysis work on agent memory stores?▼

Meta-cognition analysis works by parsing local memory storage files to perform inference, generating constructive, non-obvious behavioral insights about your working style based on accumulated operational notes and project history.

Can I generate behavioral insights across multiple projects or is it limited to one?▼

You can generate behavioral insights across multiple projects. The skill aggregates memory stores from either the current project or globally across all projects to build a comprehensive behavioral profile.

What is the best way to get objective feedback on my working style from an AI agent?▼

The best way to get objective feedback is to trigger memory analysis, which reads accumulated corrections and project history to infer human traits and provide non-obvious feedback about your operational habits and productivity.

Do I need to grant write access for an agent to parse local memory storage files?▼

No, you do not need to grant write access. The skill requires read-only access to local memory storage files to perform inference and generate insights without modifying your existing data.

When should I use memory insights to improve my productivity?▼

You should use memory insights when you feel stuck in a project and want a fresh, objective perspective on your working style or recurring habits that might be hindering your overall productivity.

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