Token导航 LogoToken导航

Agent Skill · 研究检索

feishu-work-review-timemachine(飞书工作回顾时间机器)

feishu-work-review-timemachine 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。

feishu-work-review-timemachine 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,089。

总安装 8,091周安装 344GitHub Stars 公开资料未说明下载 2,835核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:feishu-work-review-timemachine(飞书工作回顾时间机器)
来源仓库:https://github.com/nihiue/feishu-work-review-timemachine
安装命令:
openclaw skills install feishu-work-review-timemachine
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 feishu-work-review-timemachine

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

飞书工作回顾时间机器用于总结最近的飞书工作内容。适用于将文档和会议记录整理为简明回顾的场景。feishu-work-review-timemachine 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 clawhub 安装,需结合来源仓库和 README 确认具体用法。

安装前建议确认权限范围和维护状态,注意是否触发联网或文件读写。涉及材料阅读时应核对真实业务语义和字段命名规范。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install feishu-work-review-timemachine;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

feishu-work-review-timemachine 怎么安装?

在终端执行 openclaw skills install feishu-work-review-timemachine。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

feishu-work-review-timemachine 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

feishu-work-review-timemachine 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

feishu-work-review-timemachine 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

feishu-work-review-timemachine 用的人多吗?

公开数据是累计安装 8,091 次,近一周安装 344 次,下载 2,835 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

feishu-work-review-timemachine 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
feishu-work-review-timemachine

飞书工作回顾时间机器 · 本页

8,091—只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
feishu-work-review-timemachine
description
Summarize a user's recent Feishu work into a concise weekly review or "time machine" recap by reading Feishu docs, meeting notes, and related materials, then separating the user's real work from meeting noise. Use when the user asks for a recent work summary, weekly/monthly review, time-machine recap, work retrospective, month-in-review, or wants a Feishu doc created/updated with the result.

Feishu Work Review Timemachine

Overview

Create a compact, high-signal review of a user's recent work from Feishu materials. Focus on what the user actually drove or owned, not everything discussed in meetings.

Workflow

1. Define scope first

Clarify or infer:

  • time range: last week / last month / specific dates
  • output form: concise recap / weekly breakdown / monthly summary / boss-facing version
  • destination: chat reply only, or create/update a Feishu doc

If the user already gave a clear scope, do not ask again.

2. Gather source materials from Feishu

Prefer this order:

  1. Search the user's recent docs/wiki nodes
  2. Prioritize docs created by or owned by the user
  3. Read key docs in full only when needed
  4. Prefer summaries / structured notes first, then raw transcript docs for validation

Useful source types:

  • meeting notes and transcripts
  • work-in-progress docs
  • project plans
  • technical方案 / design docs
  • quality / metrics docs
  • wiki pages tied to ongoing initiatives

Do not try to read everything. Read enough to identify repeated themes and evidence of ownership.

3. Separate real work from meeting noise

Do not treat every meeting mention as the user's work.

Use these signals to infer stronger ownership:

  • the user is the doc owner / creator / primary editor
  • the user is the main speaker framing goals, tradeoffs, or next steps
  • action items are explicitly assigned to the user
  • the user is pushing the plan, organizing follow-up, or coordinating POCs
  • the same initiative appears across multiple docs with the user in a central role

Treat these as weaker signals:

  • the user merely attended the meeting
  • another person's project status appears in notes
  • broad team discussion without assigned ownership
  • AI-generated meeting summary claims not supported elsewhere

When uncertain, downshift wording:

  • use “参与推动 / 协同推进 / 讨论并判断”
  • avoid overstating as “主导完成”

4. Extract only the core themes

Compress the material into a few workstreams, usually 3-5:

  • platform / product / project track
  • AI / efficiency / technical exploration track
  • metrics / governance / methodology track
  • cross-team coordination track

For each workstream, capture only:

  • what changed
  • what the user specifically drove
  • why it mattered

Delete or skip:

  • optional commentary
  • long caveats
  • repeated explanations
  • every subtask from meeting minutes
  • alternate interpretations unless the user asked for analysis

5. Write in layers

Default output order:

  1. one-paragraph core conclusion
  2. 3-5 core workstreams
  3. weekly breakdown if requested
  4. one-sentence summary

If the user says “keep only the core”, reduce to:

  • core conclusion
  • core workstreams
  • optional one-line weekly view

Output pattern

Compact monthly review

Use this structure:

# 时光机回顾|过去一月主要工作总结

## 核心结论
[1 short paragraph]

## 核心主线
### 1. [主线]
- [核心动作]
- [核心动作]

### 2. [主线]
- [核心动作]

## 按周回顾
### 第 1 周:[关键词]
[1-3 lines]

### 第 2 周:[关键词]
[1-3 lines]

## 一句话总结
[1 sentence]

Boss-facing version

Make it shorter and more outcome-oriented:

  • progress
  • scope / influence
  • cross-team traction
  • next-step signal

Avoid process-heavy wording.

Feishu doc creation/update

When the user asks to create or write a Feishu doc:

  • create the doc once a solid draft exists
  • if permissions block the action, tell the user to complete the authorization card and then resume
  • once created, prefer overwriting the draft if the user asks to simplify aggressively
  • when refining, keep the same doc unless the user asks for a new one

Style rules

  • Write in concise Chinese unless the user asks otherwise
  • Prefer short sections over long prose
  • Remove “可选项” and hedging text unless uncertainty is material
  • Use strong verbs for high-confidence ownership, softer verbs for medium-confidence involvement
  • Default to fewer bullets, not more
  • Keep the final document skimmable in under 1-2 minutes unless the user asked for depth

Anti-patterns

Do not:

  • dump a list of all meetings
  • copy AI meeting summaries verbatim
  • equate attendance with ownership
  • preserve every nuance when the user wants a crisp recap
  • keep “next-step suggestions” if the user asked for a finished summary

Final check

Before delivering, verify:

  • Is this mostly about the user's actual work, not everyone else's?
  • Did I collapse repeated themes into a few clear workstreams?
  • If asked to simplify, did I remove optional sections rather than just shorten sentences?
  • Would the user immediately recognize this as accurate and useful?

平台分布

OpenClaw

94.43%
按下载量换算2,677

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills