recall
Retrieves and presents relevant memories from the database for the current project context. Queries the memories table and returns a synthesized summary. Use via /recall at the start of a session or w
SKILL.mdskills/plugins/memory-system/skills/recall/SKILL.md
GitHubRecall - Memory Retrieval
Purpose
Retrieve relevant memories from the memories table for the current project context, synthesize them, and present the result as useful context.
Trigger
- Manual: user invokes
/recall - Can also be invoked programmatically when context is needed
Data Storage Rules
- NEVER read from local
~/.claude/memory/files — all memory is in the database - Use ToolSearch to discover Supabase MCP tools, then query the
memoriestable - Present results as synthesized context, not raw database rows
Execution
1. Determine Project Name
git remote get-url origin 2>/dev/null | sed 's|.*/||;s|\.git$||' || basename "$PWD"
Normalize to lowercase with hyphens.
2. Check Memories Exist
Query the memories table:
SELECT COUNT(*) FROM memories WHERE deprecated = false
If no memories exist:
- Inform the user: "No memories found. Run
/memory-initto set up project memory." - Exit
3. Dispatch Memory Retriever
Launch the memory-retriever agent:
Use the Task tool with subagent_type "general-purpose" to run the memory-retriever agent.
Provide the project_name and any optional query context.
The agent will:
- Query project-specific memories (
category = 'project' AND subcategory = '<project_name>') - Query preferences (
category = 'preference') - Query decisions (
category = 'decision') - Query relevant knowledge (
category = 'knowledge') - Filter out deprecated and low-confidence entries
- Return a synthesized markdown summary
4. Present Results
Output the synthesized summary from the retriever agent. The format should be:
## Recalled Context: <project_name>
<synthesized content from memory-retriever>
If no relevant memories found:
No memories found for project "<project_name>".
Run /memory-init to set up project memory, or /rem-sleep after working to start building context.
Behavior Notes
- Results are presented as context, not as commands or instructions
- The recall output helps Claude understand the project without re-discovering everything
- Keep output focused and relevant — don't dump everything, synthesize
- If the user asks a specific question, the optional query parameter helps focus retrieval