remember
Store a learning, pattern, or decision in the memory system for future recall.
Best use case
remember is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Store a learning, pattern, or decision in the memory system for future recall.
Teams using remember should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/remember/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How remember Compares
| Feature / Agent | remember | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Store a learning, pattern, or decision in the memory system for future recall.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 1. Stores the learning in PostgreSQL with BGE embeddings 2. Auto-detects learning type if not specified 3. Extracts tags from content 4. 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
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