df:insights

Codebase Insights Skill

Generate activity summaries revealing what's happening in a codebase day-to-day and week-to-week.

Data Sources

Source	Tool	Data
Azure PRs	az repos pr list	PRs opened, merged, reviewed
Azure Work Items	az boards query	Tickets started, completed, in progress
Local Git	git log	Commits in current repo
Confluence	Atlassian MCP	Recently modified pages

Workflow

1. Collect Data

Run collectors from the current repository directory:

# Azure PRs (last N days)
node ${CLAUDE_SKILL_DIR}/collectors/azure-prs.js --days 7

# Azure work items (last N days)
node ${CLAUDE_SKILL_DIR}/collectors/azure-workitems.js --days 7

# Local git commits (last N days)
node ${CLAUDE_SKILL_DIR}/collectors/git-commits.js --days 7

Confluence: Search for recent pages using Atlassian MCP:

mcp__atlassian__rovo_search(query: "modified:>YYYY-MM-DD space_key")

Extract and save to .insights/raw/confluence.json:

[
  {
    "id": "12345",
    "title": "Page Title",
    "space": "SPACE",
    "lastModified": "2025-01-08",
    "lastModifiedBy": "Author Name",
    "url": "https://..."
  }
]

Data saved to .insights/raw/.

2. Filter by Period

# For daily summary
node ${CLAUDE_SKILL_DIR}/collectors/filter-by-date.js .insights/raw/commits.json --day 2025-01-08

# For weekly summary
node ${CLAUDE_SKILL_DIR}/collectors/filter-by-date.js .insights/raw/commits.json --week 2025-01-08

3. Generate Summary

Use templates from ${CLAUDE_SKILL_DIR}/templates/:

• daily-summary.md - Daily activity report
• weekly-summary.md - Weekly activity report

4. Save Output

Reports saved to .insights/:

• Daily: .insights/YYYY-MM-DD-insights.md
• Weekly: .insights/YYYY-WXX-insights.md

Commands

Command	Description
/df:insights:daily [date]	Generate daily codebase summary
/df:insights:weekly [date]	Generate weekly codebase summary
/df:insights:catchup	Download raw data since last collection

Monthly Review

For monthly reviews, use the significance-based formatter:

node ${CLAUDE_SKILL_DIR}/collectors/format-review.mjs --month YYYY-MM

Or follow the templates/monthly-review.md template for AI-generated analysis focusing on:

• High-impact initiatives grouped by theme
• Effort estimation (HIGH/MEDIUM/LOW)
• Status tracking (Shipped/In Progress/Troubled)
• Top contributors by focus area

Usage Examples

• "What happened in the codebase today?"
• "Summarize this week's activity"
• "Show me PR activity for the last 7 days"
• "What work items were completed this week?"

Prerequisites

# Azure DevOps CLI configured
az devops configure --defaults organization=https://dev.azure.com/YOUR_ORG project=YOUR_PROJECT

# Authenticated
az login

Confluence Integration

Requires Atlassian MCP server configured. During data collection, use rovo_search to find recently modified pages.

Search query format: modified:>YYYY-MM-DD [space_key] [keywords]

Collects metadata only: page title, space, last modified date, author. No full content.

Ensure Atlassian MCP is configured.

Output Structure

.insights/
├── raw/
│   ├── prs.json           # Azure PRs
│   ├── workitems.json     # Azure work items
│   ├── commits.json       # Local git commits
│   └── confluence.json    # Confluence pages
├── 2025-01-08-insights.md # Daily reports
└── 2025-W02-insights.md   # Weekly reports

Report Sections

Daily Summary

• Pull Requests: Opened, merged, reviewed today
• Commits: By author, by area
• Work Items: State changes (started, completed)
• Key Changes: AI-synthesized summary

Weekly Summary

• Overview: High-level activity summary
• PR Activity: Week's PRs with outcomes
• Commit Themes: Patterns and focus areas
• Work Items: Sprint progress, completions
• Contributors: Who worked on what
• Highlights: Notable achievements

Monthly Review

• High-Impact Initiatives: Work grouped by theme with effort/status
• Feature Completions: What shipped and its impact
• Top Contributors: Who drove what areas
• Themes Summary: PR distribution across themes
• Key Observations: Merge rate, bottlenecks, concerns