Remember - Store Learning in Memory
Store a learning, pattern, or decision in the memory system for future recall.
Usage
code
/remember <what you learned>
Or with explicit type:
code
/remember --type WORKING_SOLUTION <what you learned>
Examples
code
/remember TypeScript hooks require npm install before they work /remember --type ARCHITECTURAL_DECISION Session affinity uses terminal PID /remember --type FAILED_APPROACH Don't use subshell for store_learning command
What It Does
- •Stores the learning in PostgreSQL with BGE embeddings
- •Auto-detects learning type if not specified
- •Extracts tags from content
- •Returns confirmation with ID
Learning Types
| Type | Use For |
|---|---|
WORKING_SOLUTION | Fixes, solutions that worked (default) |
ARCHITECTURAL_DECISION | Design choices, system structure |
CODEBASE_PATTERN | Patterns discovered in code |
FAILED_APPROACH | What didn't work |
ERROR_FIX | Specific error resolutions |
Execution
When this skill is invoked, run:
bash
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/store_learning.py \ --session-id "manual-$(date +%Y%m%d-%H%M)" \ --type <TYPE or WORKING_SOLUTION> \ --content "<ARGS>" \ --context "manual entry via /remember" \ --confidence medium
Auto-Type Detection
If no --type specified, infer from content:
- •Contains "error", "fix", "bug" → ERROR_FIX
- •Contains "decided", "chose", "architecture" → ARCHITECTURAL_DECISION
- •Contains "pattern", "always", "convention" → CODEBASE_PATTERN
- •Contains "failed", "didn't work", "don't" → FAILED_APPROACH
- •Default → WORKING_SOLUTION