zzhou23

zzhou23 / colleague-kpi

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他们把同事做成了 Skill，我把同事做成了 KPI。用 AI 考核用 AI 的人，35+ 维度赛博内卷评分系统。

18
0
80% credibility
Found Apr 05, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A web-based dashboard that parses usage logs from an AI coding assistant named Claude to compute multidimensional performance scores, grades, and reports for team members.

How It Works

1
🔍 Discover the team AI tracker

You hear about a simple tool that turns your team's AI helper usage into easy-to-understand performance scores and charts.

2
🚀 Start your review hub

With a few easy steps, you launch a private online space to track and celebrate your team's smart AI work.

3
👥 Add your colleagues

You create profiles for each team member, giving them a special private pass to share their work safely.

4
📤 Team shares their logs

Your colleagues run a small helper on their computers to securely send snapshots of their AI sessions at set times.

5
⚡ Magic scoring happens

The system reads the shared logs, crunches numbers on activity, quality, smarts, speed, and smarts, and creates grades like S, A, B.

6
📊 Explore the dashboard

Dive into beautiful charts, rankings, trends, and reports showing who's excelling and where the team can improve.

🎉 Team gets fair insights

Now you have clear, data-backed views to guide reviews, boost productivity, and reward great AI collaboration.

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Star Growth

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AI-Generated Review

What is colleague-kpi?

Colleague-kpi is a Python-based system that automates KPI evaluation for team members' Claude AI usage, parsing desktop app data like sessions, history, and configs to score across 35+ dimensions in activity, quality, cognition, efficiency, and resource categories. Users run a lightweight agent to sanitize and upload data via API, triggering monthly reports with S/A/B/C/D grades, while a React dashboard delivers rankings, radar charts, trend lines, and CSV exports. It solves the pain of subjective AI skill assessments by turning raw Claude metrics into a kpi skill matrix for colleague performance tracking.

Why is it gaining traction?

It stands out by gamifying Claude proficiency—think skill github claude or github skill anthropic—with user-facing hooks like auto-scheduled uploads, real-time scoring on soft skill kpi and communication skill kpi, and visualizations that spotlight skill development kpi trends. No alternatives offer this depth for Anthropic's tool, blending agent uploads, FastAPI backend, and Docker-compose deployment into a full kpi skill on resume booster. Developers dig the "cyber involution" vibe, turning everyday AI habits into leaderboard fuel.

Who should use this?

Team leads at AI-first startups tracking engineer productivity via Claude sessions, or managers building kpi skill matrix for remote teams heavy on github skill copilot alternatives. Ideal for Python shops experimenting with skill github compose or marketplace tools, where quantifying tool diversity and efficiency beats manual reviews.

Verdict

Worth a spin for Claude-heavy teams seeking novel colleague kpi automation—deploy via Docker in minutes for dashboards that impress. With 18 stars and 0.800000011920929% credibility, it's early but polished; pair with your own tests before production. (198 words)

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