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Save durable Nowledge Mem insights when a Proma conversation produces decisions, procedures, preferences, plans, learnings, or project context that should survive future sessions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use Nowledge Mem from WorkBuddy or CodeBuddy for startup context, memory search, durable saves, thread search, and WorkBuddy/CodeBuddy transcript import.
Read your daily Working Memory briefing to understand current context. Contains active focus areas, priorities, unresolved flags, and recent knowledge changes. Load this automatically at the beginning of sessions for cross-tool continuity.
Search memory store when past insights would improve response. Recognize when user's stored breakthroughs, decisions, or solutions are relevant. Search proactively based on context, not just explicit requests.
Use Nowledge Mem from Kimi Code for startup context, memory search, durable saves, thread search, and Kimi Code transcript import.
Check Nowledge Mem setup, detect your agent, and guide native connector setup. Use when the user asks about setup, configuration, or when memory tools aren't working as expected.
Save decisions, insights, preferences, and procedures as durable memories. Fires when the conversation produces knowledge worth keeping across sessions.
| name | distill-memory |
| description | Save durable Nowledge Mem insights when a Proma conversation produces decisions, procedures, preferences, plans, learnings, or project context that should survive future sessions. |
Save durable insights to Nowledge Mem autonomously. Don't wait to be asked — save proactively when the conversation produces a durable fact, preference, decision, plan, procedure, learning, event, or important context.
Save proactively when the conversation produces:
Primary (MCP):
mcp__nowledge-mem__add_memory
content: "<what was decided or learned>"
title: "<short descriptive title>"
unit_type: "fact|preference|decision|plan|procedure|learning|context|event"
importance: 0.3-1.0
tags: ["<relevant tags>"]
Fallback (CLI):
nmem --json m add "JWT refresh failures came from clock skew." \
--title "JWT refresh failures traced to clock skew" \
--importance 0.9 --unit-type learning -l auth -s proma
| Level | When |
|---|---|
| 0.3-0.5 | Minor preference, small tip |
| 0.5-0.7 | Useful pattern, reusable snippet |
| 0.7-0.9 | Important decision, hard-won lesson |
| 0.9-1.0 | Critical architecture choice, security rule |
mcp__nowledge-mem__add_memory): new insight, first time capturing somethingmcp__nowledge-mem__update_memory): refining or correcting an existing memorymcp__mem__add_memory is for session-level notes; use nmem for cross-session durability