curating-memories
The curating-memories skill provides structured guidance for maintaining a personal knowledge base by updating outdated information, marking superseded memories as obsolete, and building explicit connections between related concepts. Use this skill when memories contain incorrect or outdated information, when new information contradicts existing memories, when decisions have changed, or when establishing relationships between related ideas to improve knowledge retrieval and prevent stale information from polluting search results.
git clone --depth 1 https://github.com/ScottRBK/forgetful /tmp/curating-memories && cp -r /tmp/curating-memories/docs/opencode/skills/curating-memories ~/.claude/skills/curating-memoriesSKILL.md
# Curating Memories
Active curation keeps the knowledge base accurate and connected. Outdated memories pollute search results and reduce effectiveness.
## When to Update a Memory
Use `update_memory` when:
- Information needs correction or clarification
- Importance level changes (more/less relevant than thought)
- Content needs refinement
- Links to projects/artifacts/documents change
```
execute_forgetful_tool("update_memory", {
"memory_id": <id>,
"content": "Updated content...",
"importance": 8
})
```
Only specified fields are changed (PATCH semantics).
## When to Mark Obsolete
Use `mark_memory_obsolete` when:
- Memory is outdated or contradicted by newer information
- Decision has been reversed or superseded
- Referenced code/feature no longer exists
- Memory was created in error
```
execute_forgetful_tool("mark_memory_obsolete", {
"memory_id": <id>,
"reason": "Superseded by new architecture decision",
"superseded_by": <new_memory_id> // optional
})
```
Obsolete memories are soft-deleted (preserved for audit, hidden from queries).
## When to Link Memories
Use `link_memories` when:
- Concepts are related but not caught by auto-linking
- Building explicit knowledge graph structure
- Connecting decisions to their implementations
- Relating patterns across projects
```
execute_forgetful_tool("link_memories", {
"memory_id": <source_id>,
"related_ids": [<target_id_1>, <target_id_2>]
})
```
Links are bidirectional (A<->B created automatically).
## Curation Workflow
When creating new memories, check impact on existing knowledge:
### Step 1: Query Related Memories
```
execute_forgetful_tool("query_memory", {
"query": "<topic of new memory>",
"query_context": "Checking for memories that may need curation",
"k": 5
})
```
### Step 2: Analyze Each Result
For each existing memory, determine action:
| Situation | Action |
|-----------|--------|
| Existing memory is still accurate | Link to it |
| Existing memory has minor gaps | Update it |
| Existing memory is now wrong | Mark obsolete, create new |
| Existing memory is partially valid | Create new, link both |
### Step 3: Execute Curation Plan
Present plan to user before executing:
```
Curation plan:
- Create: "New authentication approach" (importance: 8)
- Mark obsolete: #42 "Old auth pattern" (superseded)
- Link: New memory <-> #38 "Security requirements"
Proceed? (y/n)
```
### Step 4: Execute and Report
After user confirms:
1. Create new memory
2. Mark obsolete memories
3. Create links
4. Report results with all changes made
## Signs of Poor Curation
Watch for these indicators:
- Multiple similar memories on same topic (deduplicate)
- Memories referencing deleted code (mark obsolete)
- Contradictory memories (resolve conflict)
- Low-importance memories (importance < 6) accumulating
- Orphaned memories with no links (consider linking or removing)
## Auto-Linking
Forgetful auto-links semantically similar memories (similarity >= 0.7) during creation. Manual linking is for:
- Explicit relationships auto-linking missed
- Cross-project connections
- Non-obvious conceptual links
Check `similar_memories` in create response to see what was auto-linked.Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do you know about X" questions.
Guidance for using Forgetful semantic memory effectively. Applies Zettelkasten atomic memory principles. Use when deciding whether to query or create memories, structuring memory content, or understanding memory importance scoring.