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Description

TeamInsight is an AI-powered analytics platform designed to extract, analyze, and visualize team contributions across digital workspaces. The platform connects to Slack, GitHub, and Notion via their APIs to collect activity data, processes it using AI to identify meaningful contributions, and presen

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

Repository README

This is the README for hackdays-io/toban-contribution-viewer, shared by 2 entries in this directory. It describes the repository, not this entry specifically.

Toban Contribution Viewer

TeamInsight is an AI-powered analytics platform designed to extract, analyze, and visualize team contributions across digital workspaces. The platform connects to Slack, GitHub, and Notion via their APIs to collect activity data, processes it using AI to identify meaningful contributions, and presents actionable insights through an intuitive dashboard.

Business Value

  • Recognize Hidden Contributors: Identify team members whose valuable contributions might otherwise go unnoticed in traditional performance reviews
  • Improve Team Collaboration: Gain insights into communication patterns and knowledge sharing
  • Optimize Workflows: Discover bottlenecks and inefficiencies in your team's digital processes
  • Foster Recognition: Create a culture of appreciation by highlighting diverse forms of contribution
  • Data-Driven Management: Make informed decisions based on comprehensive contribution metrics rather than anecdotal evidence

Core Features

Data Collection & Integration

  • Secure OAuth connections to Slack, GitHub, and Notion
  • Configurable data collection parameters (date ranges, channels, repositories)
  • Real-time and scheduled data synchronization
  • Privacy-focused data handling with anonymization options

AI-Powered Analysis

  • Content classification by type and value (problem-solving, knowledge sharing, coordination)
  • Contribution quality assessment based on context and impact
  • Cross-platform activity correlation (e.g., Slack discussions leading to GitHub commits)
  • Trend identification and anomaly detection
  • Channel conversation analysis with LLM insights
  • Topic extraction and contributor recognition
  • Key discussion highlights and pattern identification

Visualization & Reporting

  • Interactive dashboards with customizable views
  • Individual and team contribution profiles
  • Time-series analysis of activity patterns
  • Exportable reports for performance reviews

Technical Stack

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