Continuous-Claude-v3 remember
Store a learning, pattern, or decision in the memory system for future recall
install
source · Clone the upstream repo
git clone https://github.com/parcadei/Continuous-Claude-v3
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/parcadei/Continuous-Claude-v3 "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/remember" ~/.claude/skills/parcadei-continuous-claude-v3-remember && rm -rf "$T"
manifest:
.claude/skills/remember/SKILL.mdsource content
Remember - Store Learning in Memory
Store a learning, pattern, or decision in the memory system for future recall.
Usage
/remember <what you learned>
Or with explicit type:
/remember --type WORKING_SOLUTION <what you learned>
Examples
/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 |
|---|---|
| Fixes, solutions that worked (default) |
| Design choices, system structure |
| Patterns discovered in code |
| What didn't work |
| Specific error resolutions |
Execution
When this skill is invoked, run:
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