How to Give Your AI Skill a Memory

Why It Matters

Persistent, updatable logs let AI skills carry context across sessions, improving accuracy, personalization, and efficiency while reducing the need to re-specify details every time. It makes short-term interactions accumulate into long-term competence for operational workflows.

Summary

The speaker outlines a practical method to give AI skills memory by creating a living log (e.g., a skill.md) that the skill updates at the end of each interaction. The log captures recent actions, context, and changes—optionally syncing to external files like Google Docs—so future sessions retain continuity. This persistent record fills gaps left in initial instructions, enriching the skill through repeated use. The approach is presented as effectively turning usage into experience for the AI.

Original Description

Every time you use an AI skill, you miss something. A nuance, a gap, a detail you forgot to mention. But what if the skill could fill those gaps automatically? Spencer's approach is simple: at the end of every session, have the AI update the skill log with what you just did. Next time you open it, that context is already there. It's not just a skill anymore. It's experience, accumulated rep by rep.

Spencer walks through it on the Multipliers Podcast, linked below.

Podcast episode: https://youtu.be/6-V30jxZ0gI

A.CRE website: https://www.adventuresincre.com

Join AI.Edge by A.CRE: https://theCREedge.ai/

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