Menü
Recall relevant vault context before deep work using focused queries and graph depth controls.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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.
| 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.