Collect and Analyze Individual Contributor Pull Requests
-
Updated
Jan 6, 2025 - Jupyter Notebook
Collect and Analyze Individual Contributor Pull Requests
Auto-track every Copilot CLI coding session into a structured work impact log. Zero deps, local-first, cross-platform.
From commits to career narrative.
Defining expectations and ratings for engineers to help in performance review and feedback sessions
Analyze Chinese promotion interview transcripts into evaluator reviews, panel feedback, reflection questions, and formal feedback drafts for OpenClaw, Claude Code, and Codex.
Get Github PR line-of-change stats for all Repos you work with on Github
An AI-powered daily worklog manager. Type what you worked on in natural language and AI extracts tasks, decisions, meetings, and notes into structured, searchable markdown files. Features semantic search, screenshot processing, calendar navigation, inline editing, and a summary reports. Supports Ollama, OpenAI, and Claude. Fully containerized.
Gameplay-Review-AI — A high-performance analytical tool using AI to evaluate gaming sessions. Provides data-driven insights on mechanics, strategy, and performance to help players optimize skills.
Streamlit web app for employee performance review with branch-wise analysis. Highlights employees needing review based on performance metrics.
A responsive budget allocation Power Apps mockup with a Power Automate integration and SharePoint synchronization for managing employee performance reviews.
Career capability management for AI coding agents. Capture capabilities from any source, assess information quality, generate career artifacts for any scenario.
Employee Management System built with Spring Boot, PostgreSQL, Docker, and CI/CD — featuring AI-powered recruitment, onboarding, payroll, performance reviews, and role-based access.
Professional email template for notifying an employee about poor performance... | View more at LaravelMail.com
A local-first CLI that tracks and summarizes your work across AI/agentic sessions (GitHub Copilot, Claude Code, OpenAI Codex, Agency) for reviews, work journals, and self-assessment. No cloud services, no API keys, no telemetry.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Auto-track AI coding sessions into a structured work impact log. Zero dependencies, local-first, cross-platform Copilot CLI extension.
Add a description, image, and links to the performance-review topic page so that developers can more easily learn about it.
To associate your repository with the performance-review topic, visit your repo's landing page and select "manage topics."