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lorekeeper-memorizelisted

Memorize important facts, user instructions, unique discoveries, and interesting knowledge into the Lorekeeper knowledge base. Use proactively whenever the agent encounters noteworthy information — domain knowledge, user preferences, architectural decisions, debugging insights, workflow instructions, or any fact worth recalling in future sessions. Always searches for related memories and creates links between them.
Jessinra/Lorekeeper · ★ 2 · AI & Automation · score 69
Install: claude install-skill Jessinra/Lorekeeper
# Lorekeeper Memorize Proactively capture valuable knowledge into Lorekeeper. Do not wait to be asked — memorize whenever something worth remembering surfaces. ## What to Memorize - User instructions, preferences, "always do X" directives - Domain knowledge, business rules, architecture decisions - Debugging insights, root causes, non-obvious behaviour - Interesting discoveries, undocumented behaviour, useful patterns - Decisions and their rationale - Team-specific jargon and definitions **Skip**: Trivial facts, temporary context, or information already well-documented in the codebase. ## Workflow ### Step 1: Compose the memory Write a standalone fact (must make sense without conversation context): - **title**: Short label (max 100 chars) - **description**: One-sentence summary (max 300 chars) - **content**: Full detail (max 250 words). Be specific. Include the "why". ### Step 2: Search existing memories and provide feedback Search for related memories. This is **mandatory** — even if you think nothing related exists. ``` lore_search({ query: "<topic of the new memory>", min_score: 0.2 }) ``` Note which results are genuinely related (their `memory.id` values are needed for linking). **Immediately** provide feedback on ALL returned results before proceeding: ``` lore_update({ memory_feedback: [ { id: "<id-1>", useful: true }, { id: "<id-2>", useful: false } ] }) ``` Mark `useful: true` if the memory is related to the new fact. Mark `useful: false` if