managing-zoom

Use when working with Zoom — zoom meeting and webinar management covering scheduled meetings, recordings, users, and usage analytics. Use when auditing Zoom usage, managing meetings, retrieving record

SKILL.md

GitHub

Managing Zoom

Comprehensive Zoom meeting management and analytics via the Zoom REST API.

Discovery Phase

#!/bin/bash
ZOOM_BASE="https://api.zoom.us/v2"

echo "=== Current User ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/users/me" | jq '{id, email, first_name, last_name, type, status}'

echo ""
echo "=== Users in Account (top 30) ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/users?page_size=30&status=active" \
  | jq -r '.users[] | "\(.id)\t\(.email)\t\(.type)\t\(.status)"' | column -t

echo ""
echo "=== Upcoming Meetings ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/users/me/meetings?type=upcoming&page_size=20" \
  | jq -r '.meetings[] | "\(.id)\t\(.topic[0:40])\t\(.start_time // "recurring")\t\(.duration)min"' | column -t

echo ""
echo "=== Recent Recordings (last 30 days) ==="
FROM_DATE=$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d "-30 days" +%Y-%m-%d)
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/users/me/recordings?from=$FROM_DATE&page_size=10" \
  | jq -r '.meetings[]? | "\(.topic[0:40])\t\(.start_time[0:10])\t\(.duration)min\t\(.total_size)"' | column -t

Analysis Phase

#!/bin/bash
ZOOM_BASE="https://api.zoom.us/v2"
MEETING_ID="${1:?Meeting ID required}"

echo "=== Meeting Details ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/meetings/$MEETING_ID" \
  | jq '{id, topic, type, start_time, duration, timezone, join_url, settings: {waiting_room: .settings.waiting_room, auto_recording: .settings.auto_recording}}'

echo ""
echo "=== Past Meeting Participants ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/past_meetings/$MEETING_ID/participants?page_size=30" \
  | jq -r '.participants[]? | "\(.name)\t\(.email // "N/A")\t\(.duration)sec\t\(.join_time[0:19])"' | column -t

echo ""
echo "=== Account Dashboard ==="
curl -s -H "Authorization: Bearer $ZOOM_TOKEN" \
  "$ZOOM_BASE/report/daily?year=$(date +%Y)&month=$(date +%m)" \
  | jq '{total_meetings: .dates[-1].meetings, total_participants: .dates[-1].participants, total_meeting_minutes: .dates[-1].meeting_minutes}'

Output Format

ZOOM ACCOUNT HEALTH
User:           [name] ([email])
Account Type:   [type]
Active Users:   [count]

UPCOMING MEETINGS
ID            Topic                    Start Time       Duration
[id]          [topic]                  [datetime]       [n]min

USAGE SUMMARY (Last 30 Days)
Meetings Held:    [count]
Total Minutes:    [minutes]
Avg Participants: [avg]
Recordings:       [count] ([size] total)

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

Shortcut Counter Why
"I'll skip discovery and check known resources" Always run Phase 1 discovery first Resource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check" Follow the full discovery → analysis flow Quick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine" Audit configuration explicitly Defaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this" Always check relevant metrics when available API/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that" Try the command and report the actual error Assumed permission failures prevent useful investigation; actual errors are informative