liuyishou

Captures daily work activities and generates weekly reviews and manager updates in Python-supported environments.

10|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/liuyishou-skill/liuyishou-skill --skill liuyishou
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: liuyishou
Source: https://github.com/liuyishou-skill/liuyishou-skill/tree/main
Command: npx skills add https://github.com/liuyishou-skill/liuyishou-skill --skill liuyishou

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps professionals capture their work, protect their tacit knowledge, and grow a personal career moat by logging daily activities, reviewing progress, and generating professional materials.

Core Features & Use Cases

  • Capture Work: Record and organize your daily work activities efficiently.
  • Weekly Review: Generate a weekly review to reflect on your achievements and risks.
  • Output Packs: Create manager updates, performance bullets, and mobility packs for professional purposes.

Quick Start

Use the liuyishou skill to initialize your career-defense workspace.

Frequently Asked Questions about liuyishou

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track my daily work activities for performance reviews?

You track daily work activities by logging tasks and achievements into a career-defense workspace, which preserves tacit knowledge and generates professional materials for performance reviews.

What is the best way to generate manager updates from my work logs?

The best way to generate manager updates is by using a career documentation system that processes your logged activities into structured output packs for professional development and impact tracking.

Can I use Python scripts to manage my career documentation and impact tracking?

Yes, you can use Python scripts to manage career documentation and impact tracking, as the system requires Python for script execution and data management to process your professional workflows.

How does capturing work proof help build a career moat?

Capturing work proof builds a career moat by systematically recording your daily activities and tacit knowledge, enabling you to reflect on progress and generate mobility packs for professional growth.

Do I need to initialize a workspace before creating weekly reviews of my achievements?

Yes, you need to initialize a career-defense workspace before creating weekly reviews, as this setup allows you to efficiently record activities and reflect on your achievements and risks.