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working-memory

Load cross-tool Nowledge context at session start. Shows current work, priorities, and unresolved flags. Codex local Memory is separate and does not replace this context; also trigger when resuming or when the user asks what am I working on.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nowledge-co-community-nowledge-mem-codex-plugin-skills-working-memory-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name working-memory description Load cross-tool Nowledge context at session start. Shows current work, priorities, and unresolved flags. Codex local Memory is separate and does not replace this context; also trigger when resuming or when the user asks what am I working on. Start with what matters. For full startup context, use Context Bundle: it resolves owner identity, the resolved AI Identity, active scope, active rules, Working Memory, and KFS paths. Working Memory is the lighter daily briefing of active focus areas, priorities, and recent knowledge changes. Codex local Memory is a separate, local recall layer. Even when it is enabled, use Nowledge Mem for current cross-tool context, exact prior conversations, sourced decisions, and continuity with other agents. Preferred path If this session exposes the Nowledge Mem MCP server and you need the full startup contract, prefer read_context_bundle . Otherwise use read_working_memory for a lightweight daily briefing, or the CLI Context Bundle fallback: nmem --json context --source-app codex For only Working Memory: nmem --json wm read 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 Codex so the Context Bundle resolves the right AI Identity. 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. What you'll find Identity and scope : owner identity, AI Identity, active space, and active rules when using Context Bundle Focus areas : what you're actively working on, ranked by recent activity Priorities : items flagged as important or needing attention Unresolved flags : contradictions, stale information, or items to verify Recent changes : what shifted in your knowledge base since the last briefing How to use it Summarize only the parts relevant to the task. If Context Bundle was loaded, do not separately read Working Memory unless the user asks. If the task is clearly a continuation, review, release, regression, connector, or prior-decision question, move directly into search-memory after the briefing instead of stopping here. If exists: false or the command fails, say there is no briefing yet and continue normally. Share only the parts relevant to what the user is doing now. When to read Beginning of a new session Returning to a project after a break User asks "what am I working on?" or "what's my context?" When to skip Already loaded this session (do not re-read unless the user asks) User explicitly wants a fresh start Task is isolated and needs no prior context Links Working Memory Getting started
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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