菜单
Load today's Working Memory briefing at session start. Shows your current focus areas, priorities, and recent knowledge changes across all AI tools.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | read-working-memory |
| description | Load today's Working Memory briefing at session start. Shows your current focus areas, priorities, and recent knowledge changes across all AI tools. |
Start every session with context. Use Context Bundle when owner identity, AI Identity, active scope, or rules could matter; it includes Working Memory. Use Working Memory alone for the lighter daily briefing.
At session start:
During session:
Skip when:
nmem --json context --source-app omp
If the runtime already knows the current project or agent lane, add --space "<space name>". Multi-agent orchestrators can set NMEM_AGENT_ID="<agent-slug>" before launching the child agent. Add NMEM_SPACE only when that whole run should override the identity's default space. Use NMEM_HOST_AGENT_ID only for advanced external aliases.
For only Working Memory:
nmem --json wm read
search-memory after the briefing.If the response includes exists: false, mention there's no briefing yet and continue.
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.