SKILL.md
SKILL.mdBrowse 1 file
433 tokens
1,641 bytes
Token encoding: o200k_base
Snapshot 0df3e4b
Remember
Store a fact, preference, or learning directly into Mem0.
Execution
Step 1: Extract the content
The user provides the content as an argument: /mem0-remember <text>
If no text was provided, ask: "What should I remember?"
Step 2: Classify the memory
Based on the content, pick the best category:
| Content signal | Category |
|---|---|
| "I prefer...", "I like...", "use X instead of Y" | preferences |
| "we decided...", "always use...", "never..." | decisions |
| "I learned...", "figured out...", "don't try..." | lessons |
| "my goal is...", "I want to...", "working toward..." | goals |
| "I work at...", "my role is...", "my team..." | work |
| "every day I...", "my workflow is..." | routines |
| "I'm working on...", "the project involves..." | projects |
| "John is...", "my manager...", "the team..." | relationships |
| "my name is...", "I'm from...", "I studied..." | identity |
| setup, tools, config, environment | technical |
| anything else | lessons |
Step 3: Store
Use the mem0_memory tool with:
action="add"content="<the user's text>"
The /mem0-remember command stores verbatim — no inference. This is already handled by the command.
Step 4: Confirm
Remembered as <category>: "<content, first 80 chars>"Append ... only if content was truncated (longer than 80 chars).
Discovery context
Discovered by repository scan. No exact path reference found in the snapshot’s root AGENTS.md.