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

Agent Skill

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。

总安装

8,091

周安装

344

GitHub Stars

公开资料未说明

下载量

2,835
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: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

简介

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。

SKILL.md

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?

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

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 warning/failed 结果,不能写成本站确认安全。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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