5.2 KiB
| description | argument-hint | allowed-tools |
|---|---|---|
| Store learnings as discoverable institutional memory, organized by the librarian | <what to remember, or "from discussion" to extract from conversation> | Task, Read, Write, Edit, Glob, Grep, Bash |
Remember this knowledge: $ARGUMENTS
Instructions
Load the knowledge-librarian skill, then:
1. Extract the Learning
If "from discussion":
- Review the conversation
- Identify key insights, decisions, gotchas, patterns learned
- May extract multiple memories
If specific topic:
- Clarify what exactly to remember
- Identify the core insight
**What:** [The knowledge]
**Why it matters:** [When someone would need this]
**Confidence:** [high/medium/low]
**Source:** [conversation/investigation/incident]
2. Consult Librarian Agent
If project has .claude/agents/librarian.md:
Launch librarian agent to:
1. Categorize this knowledge
2. Check for existing related entries
3. Suggest where to store it
4. Identify connections to existing knowledge
Otherwise, self-categorize:
| If it's... | Category |
|---|---|
| "How we do X" | patterns/ |
| "Why we chose X" | decisions/ |
| "Watch out for X" | gotchas/ |
| "Steps to do X" | how-to/ |
| "How X works" | architecture/ |
| "To debug X" | debugging/ |
| "We name X like Y" | conventions/ |
| "External X works like Y" | integrations/ |
3. Check for Duplicates
# Search existing knowledge
grep -ri "[key terms]" ai-lookup/ 2>/dev/null
# List category
ls ai-lookup/[category]/ 2>/dev/null
If exists: UPDATE don't duplicate.
4. Compress the Knowledge
Transform verbose conversation into compressed entry:
From: Long explanation with context, discovery process, tangents... To: Core fact + one example + links
Keep:
- The essential insight
- One clear example
- Related links
Remove:
- Discovery narrative
- Hedging language
- Redundant examples
- Temporary context
5. Write the Entry
mkdir -p ai-lookup/[category]
Format:
---
category: [category]
title: [Searchable title]
learned: [YYYY-MM-DD]
source: [conversation|investigation|incident]
confidence: [high|medium|low]
related: []
---
# [Title]
## Summary
[2-3 sentence TL;DR]
## Details
[Compressed knowledge]
## Example
[Concrete example]
## See Also
- [Related](path/to/related.md)
6. Update Indexes
Category index (ai-lookup/[category]/index.md):
+ - [Title](filename.md) - Brief description
Master index (ai-lookup/index.md):
+ - [Title](category/filename.md) - Brief description
Create indexes if they don't exist.
7. Verify Discoverability
- Can find by browsing index
- Can find by grep for key terms
- Links to related entries work
Entry Templates
Pattern
---
category: patterns
title: [Pattern Name]
learned: YYYY-MM-DD
confidence: high
---
# [Pattern Name]
## Summary
[When to use this pattern and why]
## Pattern
[The pattern itself]
## Example
```code
[Concrete example]
When NOT to Use
[Exceptions or anti-patterns]
### Gotcha
```markdown
---
category: gotchas
title: [Short description of trap]
learned: YYYY-MM-DD
confidence: high
---
# [Gotcha Title]
## Summary
[One sentence: what bites you]
## The Problem
[What goes wrong]
## The Solution
[How to avoid/fix]
## Example
```code
// BAD
[code that breaks]
// GOOD
[code that works]
### Decision
```markdown
---
category: decisions
title: [Decision: X over Y]
learned: YYYY-MM-DD
confidence: high
---
# [Decision Title]
## Summary
We chose [X] over [Y] because [reason].
## Context
[What prompted this decision]
## Options Considered
1. **[X]** - [pros/cons]
2. **[Y]** - [pros/cons]
## Decision
[What we chose and why]
## Consequences
[What this means going forward]
How-To
---
category: how-to
title: How to [do X]
learned: YYYY-MM-DD
confidence: high
---
# How to [Do X]
## Summary
[When you'd need this]
## Prerequisites
- [What you need first]
## Steps
1. [Step 1]
2. [Step 2]
3. [Step 3]
## Verification
[How to know it worked]
## Troubleshooting
- **[Problem]**: [Solution]
Output Format
## Remembered: [Title]
**Category:** [category]
**Confidence:** [level]
**Stored:** `ai-lookup/[category]/[filename].md`
### Entry Created
```markdown
[Preview of created entry]
Indexes Updated
- ✓
ai-lookup/index.md - ✓
ai-lookup/[category]/index.md
Related Knowledge
- [Existing related entries found]
Discoverability Check
- Indexed
- Searchable by: [key terms]
- Linked to related
## Quick Examples
**Remember a gotcha:**
/remember "context.WithTimeout requires defer cancel() or resources leak" → ai-lookup/gotchas/context-cancel-required.md
**Remember a decision:**
/remember "We chose slog over logrus because structured logging with stdlib" → ai-lookup/decisions/slog-over-logrus.md
**Remember from discussion:**
/remember from discussion → Extracts key learnings from conversation → Creates appropriate entries
## Critical Rules
- COMPRESS: Essence not transcript
- CATEGORIZE: Enables discovery
- CHECK: Don't duplicate
- INDEX: Update both indexes
- VERIFY: Ensure findable
- PROVENANCE: Track when/how learned