Weekly Report

SkillMonitoring & ops

Compile a weekly productivity report using Agent Monitor data — daily_sessions and daily_events trends, per-session costs from pricing engine, token volumes (input/output/cache_read/cache_write + baselines), tool usage top 20, session completion rates by status, and workflow intelligence metrics.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Weekly Report skill

What this skill tells your AI

The instructions your AI receives, as published by hoangsonww/claude-code-agent-monitor in plugins/ccam-productivity/skills/weekly-report/SKILL.md and read by ahel’s review.

Generate a comprehensive weekly productivity report from Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

  • "this week" or empty (default: current week Mon-Sun)
  • "last week" for the previous week
  • A date range: "2025-04-07 to 2025-04-13"

Procedure

  1. Fetch weekly data from http://localhost:4820:

    • GET /api/sessions?limit=200 — filter to target week (default sort: most recently updated first)
    • GET /api/analytics — aggregated analytics
    • GET /api/pricing/cost — cost data
  2. Build the weekly report:

    📊 Week at a Glance

    MetricThis WeekLast WeekChange
    SessionsNN↑/↓ N%
    Total HoursNN↑/↓ N%
    Tokens UsedNN↑/↓ N%
    Total Cost$X.XX$X.XX↑/↓ N%
    Completion RateN%N%↑/↓

    🏆 Highlights

    • Most productive day (by sessions completed)
    • Longest session and what it accomplished
    • Most used tools and any new tools adopted
    • Notable achievements (complex tasks completed, errors resolved)

    📈 Daily Breakdown

    DaySessionsHoursCostCompletion
    For each day of the week with activity.

    🔧 Tool Usage Report

    • Top 10 tools by invocation count
    • Tools with highest error rate
    • Tool usage distribution chart (text-based)

    💡 Productivity Insights

    • Peak productivity hours
    • Average session duration and trend
    • Cost efficiency trend
    • Model usage distribution

    🎯 Recommendations for Next Week

    • Based on error patterns: what to improve
    • Based on cost trends: optimization opportunities
    • Based on tool usage: workflow suggestions

Output Format

Professional report format with:

  • Executive summary (3 sentences max)
  • Structured tables with week-over-week comparisons
  • Emoji-prefixed section headers for scannability
  • Actionable recommendations in priority order

Signals

GitHub stars
989
Forks
233
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
weekly-report-hoangsonww
Source
github.com/hoangsonww/claude-code-agent-monitor