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china-collective-memory中国集体记忆

Agent Skill

china-collective-memory 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,821

周安装

290

GitHub Stars

公开资料未说明

下载量

2,390
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:china-collective-memory(中国集体记忆)
来源仓库:https://github.com/oiioai/china-collective-memory
安装命令:
openclaw skills install china-collective-memory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install china-collective-memory

简介

china-collective-memory 基于十年文献构建 1935–2025 年中国集体记忆索引。

  • 可用于历史事件、文化符号与社会心理研究。
  • 支持事件锚点与感官线索检索,辅助叙事构建。
  • 安装命令为 openclaw skills install china-collective-memory,数据离线可用。
  • 内容仅供学术参考,使用时请注意语境还原与多元视角。

SKILL.md

name
china-collective-memory
description
Search and browse Chinese collective-memory anchors across 1935-2025 using decade-based reference files that organize events, sensory cues, prompts, and cultural context for reminiscence, cultural-history, and intergenerational storytelling work.

china-collective-memory

A knowledge skill providing searchable Chinese collective memory anchors spanning 1935-2025, organized by era, event type, and cultural theme.

Description

This skill provides access to more than 12,000 Chinese historical collective memory anchors. Each anchor includes sensory cues, narrative prompts, and cultural context. It is useful for agents working with Chinese cultural history, reminiscence, oral history, or intergenerational storytelling.

Data Structure

Each anchor contains:

  • id, year, time_bucket, event_type
  • title (Chinese), motivation, tags
  • sensory cues: visual, auditory, olfactory, tactile, gustatory
  • probe_question (Chinese)
  • cultural_context (Chinese)

How to Use

  • Browse by era in the references/ directory.
  • Each file covers one decade-style bucket:

1935-1949.md, 1950-1959.md, 1960-1969.md, 1970-1979.md, 1980-1989.md, 1990-1999.md, 2000-2009.md, 2010-2019.md, and the current 2020s bucket 2020-2026.md.

  • Search within the reference files by keyword, year, tag, or event type.
  • Use sensory cues to enrich conversations about specific time periods.
  • Use probe questions as conversation starters, then follow the person's own

memory rather than reciting history.

  • Treat the dataset as a memory aid, not as a substitute for lived experience.

Eras

  • 1935-1949: War, occupation, and founding years (战乱与建国初期)
  • 1950-1959: Early PRC and reconstruction (新中国建设初期)
  • 1960-1969: Scarcity and political upheaval (困难年代与政治动荡)
  • 1970-1979: Late collective era and transition (集体年代后期与转折)
  • 1980-1989: Reform, opening, and urban change (改革开放与城市变化)
  • 1990-1999: Marketization and media expansion (市场化与大众传媒扩张)
  • 2000-2009: Digitization and rapid growth (数字化起步与高速发展)
  • 2010-2019: Mobile internet and social transformation (移动互联网与社会转型)
  • 2020s: Pandemic era and recent life-world shifts (疫情年代与近期生活变迁)

Working Notes

  • This skill is reference-only. It does not require tools, APIs, or a storage

layer.

  • The source material is in Chinese; use it directly when working with Chinese

speakers, or translate selectively when the host workflow needs bilingual output.

  • When using anchors in conversation, keep historical framing brief and let the

person's own associations lead.

Note

This skill contains reference data only. It can be used by any agent regardless of persona or platform.

适合场景

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.03%
按下载量换算1,865

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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