preference-and-memory SKILL.md skillA

preference-and-memory from heymegabyte/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add heymegabyte/claude-skills/preference-and-memory@v2.1.0

Pins v2.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
heymegabyte/claude-skills
Path
04-preference-and-memory/SKILL.md
Versions recorded
6
Latest version
v2.1.0, committed Oct 4, 2026
First version recorded
Jun 8, 2026
Size
4,159 bytes
Repository stars
26
License
a license file GitHub does not identify

Captures and evolves user preferences with confidence levels. Maintains Voice of the Customer model with exact language, dissatisfaction and aspiration signals. Handles promotion/demotion, global vs project scoping, auto memory system, and Omi wearable data integration.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 04 — Preference and Memory

Capture and evolve user preferences with confidence levels, maintaining a Voice of the Customer model scoped globally or per project.

## Auto-memory system

Persistent file-based memory at `/Users/Apple/.claude/projects/<encoded-path>/memory/`. Write directly via Write tool.

## Memory types

- **user** — role, goals, responsibilities, knowledge
- **feedback** — guidance on how to approach work (corrections AND confirmations)
- **project** — ongoing initiatives, bugs, incidents, who/why/when
- **reference** — pointers to external resources

## Capture triggers

- User explicitly says "remember X" / "save Y" → save immediately
- Correction ("no not that", "don't") → feedback memory
- Confirmation of unusual approach ("yes exactly", "perfect") → feedback memory
- New role / preference / responsibility detail → user memory
- Project milestone / decision / deadline → project memory
- External system reference ("check the Linear project X") → reference memory

## Memory file format

```markdown
---
name: {short-kebab-case-slug}
description: {one-line summary — used for relevance ranking}
metadata:
  type: {user | feedback | project | reference}
---
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add heymegabyte/claude-skills/preference-and-memory@sha256:0d46ce35adf1daa3

The line at the top of this page pins the label v2.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ageypbxi4opjdfrr.svg)](https://markdownregistry.com/a/art_ageypbxi4opjdfrr)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 8, 2026 and Oct 4, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
v2.1.0 latest2026-10-04 eef09c5 4,159 BA view · diff
v2.1.02026-06-29 4df4f79 4,160 BA view · diff
v2.1.02026-06-19 9d79e49 4,146 BA view · diff
v2.1.02026-06-09 48c8cdc 4,011 BA view · diff
v2.1.02026-06-09 1302b44 3,997 BA view · diff
v2.1.02026-06-08 e6a3668 3,902 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4159 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

heymegabyte/claude-skills · 26 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ageypbxi4opjdfrr
GET https://markdownregistry.com/api/v1/resolve?ref=heymegabyte/claude-skills/preference-and-memory
GET https://markdownregistry.com/api/v1/blob/0d46ce35adf1daa3059a5e0cfcfe6e7ef52a5adae4915d51aca3149c66f0d10b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in heymegabyte/claude-skills

Other files named preference-and-memory

preference-and-memory SKILL.md skill
heymegabyte/agent-skills · 04-preference-and-memory/SKILL.md · Captures and evolves user preferences with confidence levels. Maintains Voice of the Customer model with exact…
v2.1.0 · audit A · 26 stars

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