weekly-summary

Generate a weekly summary of the user's AI coding sessions.

Steps

1. Get the date range. Calculate the start date (7 days ago) and end date (today) in YYYY-MM-DD format.

2. Fetch the digest. Call get_activity_digest with:

   • startDate: 7 days ago
   • endDate: today
   • detail: "highlights" (first + last user messages for substantive sessions)

3. Review the digest. Read the response directly — do NOT send it to a subagent. The highlights mode is compact enough to process inline. For each day, identify:

   • Which projects were worked on and what was accomplished
   • Key decisions, pivots, or discoveries (visible in the first/last message pairs)
   • Recurring themes across projects

4. Drill into key sessions (optional). If any sessions look particularly significant (high message count, interesting topic) but the highlights don't capture enough detail, call get_session_messages on those specific sessions (up to 5) using the filePath from the digest.

5. Write the summary. Structure it as:

   Week of {start} - {end}

   By the numbers: {total sessions} sessions, {total messages} messages across {project count} projects.

   Day-by-day: For each day with activity, write 2-4 bullet points capturing the most significant work. Be specific — name projects, features, and outcomes. Skip days with no meaningful activity.

   Highlights: The 3-5 most significant accomplishments across the entire week.

   Themes: Recurring work streams or focus areas (e.g., "SDK development", "infrastructure", "bug fixes").

Guidelines

• Process the digest inline. Do not spawn a subagent to read it.
• Be specific. Quote project names, feature descriptions, and tool names.
• The first message shows intent; the last message shows outcome. Use both to capture the arc.
• Skip noise — 1-message sessions and test sessions are not worth mentioning.
• If a project appears across multiple days, note the arc of progress.
• Write for the user to review, not for a third party. Use "you" not "the user".