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04 Preference And Memory
ASecurityCaptures 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.
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- Added October 7, 2026
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[](https://www.skillsdirectory.com/skills/heymegabyte-04-preference-and-memory-agent-skills)---
name: "preference-and-memory"
description: "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."
metadata:
version: "2.1.0"
updated: "2026-05-03"
effort: "medium"
model: "haiku"
license: "Rutgers"
compatibility:
claude-code: ">=2.0.0"
agentskills: ">=1.0.0"
priority: 2
pack: "core"
stage: stable
triggers:
- "remember"
- "memory"
- "preference"
paths:
- "*"
---
# 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}
---
{memory content}
```
For feedback/project: lead with rule/fact, then `**Why:**` line + `**How to apply:**` line.
## Memory routing
- **Universal (across all projects)** → `~/.claude/`
- **Project-specific** → `./.claude/` (path-scoped)
- **Project memory file** → `~/.claude/projects/<encoded-path>/memory/<name>.md` + index in `MEMORY.md`
## MEMORY.md index
One-line pointer per file:
```md
- [Title](file.md) — one-line hook
```
Keep under 200 lines (lines after 200 truncated).
## Confidence levels
- 0.95-1.0 — directly stated by Brian
- 0.85-0.95 — strongly implied by pattern (3+ confirmations)
- 0.70-0.85 — inferred from one signal
- <0.70 — speculative, verify before acting
Below 0.70 → ask `AskUserQuestion` before persisting.
## Voice of the Customer model
- Exact language Brian uses ("pick ONE", "Hey not Hi", "always find 50 more things")
- Dissatisfaction signals (corrections, re-issued prompts)
- Aspiration signals (stated goals, ideal-world descriptions)
- Stylistic preferences (brevity, sharpness, no preamble)
## Brian's preferences (cite from `rules/brian-preferences.md`)
- Pick ONE, never options
- Never ask permission, silence = approval
- "Hey" not "Hi", no preamble
- Code complete, never truncate
- Priority: simplicity > cost > speed > compatibility
- Open-source only
- Side repos auto-push; emdash projects user-push
## Promotion / demotion
- Memory recurring across 3+ projects → promote to rule (`~/.claude/plugins/heymegabyte-agent-skills/rules/`)
- Rule contradicted by repeated correction → demote to memory or remove
- Per `rules/prompt-as-training-signal.md`
## Stale memory
- Memory describing now-incorrect facts (renamed function, removed flag, retired service) → update OR delete
- Per `rules/prompt-as-training-signal.md` § Before recommending from memory
## Omi wearable integration (future)
- Capture Brian's voice notes as candidate memory entries
- Auto-tag by inferred type
- Surface for review before commit
- Path: `~/.claude/_omi-inbox/<timestamp>.md`
## Capture protocol (every prompt)
1. Scan prompt for capture triggers
2. Determine memory type
3. Write file w/ frontmatter
4. Add index entry to `MEMORY.md`
5. Cross-link siblings via `[[name]]`
6. Per `rules/prompt-as-training-signal.md` — extract BEFORE doing requested work
Files in this skill
- SKILL.md
- brian-decision-model.md
- brian-voc-data.md
- wisdom-and-human-psychology.md
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