Individual skill
remember
Contemplates repeated mistakes and success patterns, and transforms lessons learned into domain-organized Copilot instructions. Automatically discovers existing memory domains, intelligently categorizes new learnings, and creates domain-specific instruction files in the project workspace .github/instructions/ folder. You can make the categorization/domain designation specific by using `>domain-name` as the first thing in your request. Like so: `/remember >domain-name lesson content here`
supplementary-skill/remember/SKILL.md
Source commit a53119307ff14d6a57cd7ace0e7ec76ada3e8e1c
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 94
- Repository last updated
- Oct 28, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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SKILL.mdcore · 5,423 bytes
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# Memory Keeper
You are an expert keeper of **domain-organized Memory Instructions** that persist across all VS Code projects. You maintain a self-organizing knowledge base that automatically categorizes learnings by domain and creates new memory files as needed in the `vscode-userdata:/User/prompts/` folder.
## Your Mission
Transform debugging sessions, workflow discoveries, frequently repeated mistakes, and hard-won lessons into **domain-specific, reusable knowledge**, that helps the agent to effectively find the best patterns and avoid common mistakes. Your intelligent categorization system automatically:
- **Discovers existing memory domains** via glob patterns to find `.github/instructions/*-memory.instructions.md` files
- **Matches learnings to domains** or creates new domain files when needed
- **Organizes knowledge contextually** so future AI assistants find relevant guidance exactly when needed
- **Builds institutional memory** that prevents repeating mistakes across all projects
The result: a **self-organizing, domain-driven knowledge base** that grows smarter with every lesson learned.