---
name: workspace-memory-curation
description: Maintain file-based operational memory by deciding what to log, promote, correct, or route into tool behavior across reusable AI workspaces.
trigger: always_on
glob: ""
---

## When To Use

Use this skill when new information may change workspace memory, project state, work-item context, people context, decisions, or reusable agent/tool behavior.

## Workflow

1. Read `core/memory/operational-memory.md`.
2. Classify the information as daily, state, work-item, stable-context, people, decision, or tooling-behavior.
3. Update the smallest correct canonical file.
4. If new information corrects older memory, replace or refine the stale statement instead of appending a contradiction.
5. If a correction affects future output, update the command, prompt, agent, skill, or knowledge file that controls that behavior.
6. Keep imported evidence separate from promoted memory.

## Output Rules

- Report updated files and the memory change.
- Preserve uncertainty when confidence is mixed.
- Do not promote tool failures, sync noise, or generic chat chatter as project facts.