An AI-powered analytical tool that synthesizes Feishu activity into high-signal weekly or monthly work retrospectives.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-work-review-timemachine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install feishu-work-review-timemachine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Feishu Work Review Timemachine?
The Feishu Work Review Timemachine is a specialized utility within the Openclaw Skills ecosystem designed to solve the problem of information overload in modern workspaces. It intelligently scans Feishu documents, wiki nodes, and meeting transcripts to extract a user's specific contributions, effectively filtering out the 'noise' of general team discussions and passive meeting attendance.
By prioritizing documents owned or edited by the user and analyzing speech patterns in transcripts, the skill builds a high-confidence map of actual ownership. It delivers structured, skimmable recaps that focus on outcomes rather than process, making it an indispensable tool for professionals who need to generate boss-facing reports or personal work logs without manual effort.
Feishu Work Review Timemachine Use Cases
- Generating concise weekly or monthly work summaries for performance reviews.
- Creating boss-facing status reports that highlight cross-team influence and traction.
- Automating the creation or update of Feishu documentation for project retrospectives.
- Distilling weeks of meeting transcripts into 3-5 core strategic workstreams.
- Tracking personal progress across multiple work-in-progress documents and technical designs.
How Feishu Work Review Timemachine Works
- Scope Definition: The skill identifies the requested time range and output format, such as a concise recap or a full monthly summary.
- Material Gathering: It searches Feishu wikis and docs, prioritizing items where the user is the owner or primary contributor.
- Signal Analysis: The AI distinguishes between passive attendance and active leadership by analyzing action items and doc edit history.
- Theme Extraction: Information is compressed into 3-5 core workstreams, focusing on what changed and why it mattered.
- Layered Drafting: Content is generated in a hierarchical format, starting with a core conclusion followed by detailed workstreams and a final one-sentence summary.
Feishu Work Review Timemachine Setup
To enable this capability within your environment, ensure your Openclaw Skills configuration has access to the Feishu API. Run the following command to initialize the connection:
openclaw install feishu-work-review-timemachine
openclaw auth feishu
Follow the on-screen authorization card to grant permissions for reading documents and managing wiki nodes.
Feishu Work Review Timemachine Data Schema & Taxonomy
The skill organizes data based on ownership signals and document types to ensure high-signal output:
| Data Type | Priority | Usage in Review |
|---|---|---|
| User-Owned Docs | High | Primary source for core workstream achievements. |
| Meeting Transcripts | Medium | Evidence of action items and collaborative decision making. |
| Wiki Nodes | Medium | Context for long-term project alignment and initiatives. |
| Team Dashboards | Low | Used only for validating cross-team coordination metrics. |
Feishu Work Review Timemachine Advanced Features
- Multi-Layered Output: Automatically adjusts detail levels from a single paragraph to a full weekly breakdown based on user prompts.
- Direct Doc Integration: Can create new Feishu documents or update existing ones with the generated summary.
- Confidence-Based Verbiage: Dynamically switches between 'Led/Owned' and 'Collaborated' based on the strength of ownership signals.
- Aggressive Simplification: Power-user mode to remove all optional commentary for maximum skimmability.
- Boss-Facing Optimization: Special formatting mode that pivots from task-tracking to outcome and influence reporting.
SKILL.md
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