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Recall relevant vault context before deep work using focused queries and graph depth controls.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Persist durable session outcomes with memory_ingest using stable titles, append threading, and wikilinks.
Deep ClawQL Obsidian vault workflows using memory_ingest and memory_recall MCP tools—structured insights, wikilink graphs, session threading, verbatim captures, and recall queries. Use when persisting important context, building a knowledge graph, starting tasks that may depend on prior vault notes, or when the user mentions Obsidian, the vault, memory, or long-running project context.
Workflow recipes for the ClawQL MCP audit tool. The audit tool is ClawQL Core (always registered — no CLAWQL_ENABLE_AUDIT); this skill is optional guidance for append/list/clear patterns during multi-step runs.
Deep ClawQL Obsidian vault workflows using memory_ingest and memory_recall MCP tools—structured insights, wikilink graphs, session threading, verbatim captures, and recall queries. Use when persisting important context, building a knowledge graph, starting tasks that may depend on prior vault notes, or when the user mentions Obsidian, the vault, memory, or long-running project context.
Use the cache MCP tool (ClawQL Core, always on) as ephemeral scratch state during active sessions.
Run isolated code snippets via sandbox_exec with safe persistence/session patterns.
Basé sur la classification professionnelle SOC
| name | clawql-memory-recall |
| description | Recall relevant vault context before deep work using focused queries and graph depth controls. |
limit.maxDepth for wikilink context.minScore if noisy.memory_recall -> work (search/execute) -> memory_ingest.