zoom
Create and manage Zoom meetings and access cloud recordings via the Zoom API. Use for queries like "create a Zoom meeting", "list my Zoom meetings", "show my Zoom recordings", or "schedule a meeting for tomorrow".
What this skill does
# Zoom Skill
Manage Zoom meetings and cloud recordings via the Zoom API.
## Features
- **Meetings**: List, create, update, delete scheduled meetings
- **Recordings**: List cloud recordings with transcripts, summaries, and download links
**Note:** All times passed to create/update commands are interpreted as **local time**. The script auto-detects your timezone if not explicitly specified with `--timezone`.
## Prerequisites
This skill uses two authentication methods:
| Feature | Auth Type | Credentials File |
|---------|-----------|------------------|
| Meetings | Server-to-Server OAuth | `~/.zoom_credentials/credentials.json` |
| Recordings | User OAuth (General App) | `~/.zoom_credentials/oauth_token.json` |
Check status:
```bash
python3 scripts/zoom_meetings.py setup
```
## Setup
### Part 1: Server-to-Server OAuth (for Meetings)
1. Go to [marketplace.zoom.us](https://marketplace.zoom.us/) → Develop → Build App
2. Select **Server-to-Server OAuth**
3. Name it (e.g., "Claude Zoom Meetings")
4. Copy **Account ID**, **Client ID**, **Client Secret**
5. Add scopes:
- `meeting:read:meeting:admin`
- `meeting:read:list_meetings:admin`
- `meeting:write:meeting:admin`
- `user:read:user:admin`
6. Activate the app
7. Save credentials:
```bash
mkdir -p ~/.zoom_credentials
cat > ~/.zoom_credentials/credentials.json << 'EOF'
{
"account_id": "YOUR_ACCOUNT_ID",
"client_id": "YOUR_CLIENT_ID",
"client_secret": "YOUR_CLIENT_SECRET"
}
EOF
```
### Part 2: General App OAuth (for Recordings)
Server-to-Server apps cannot access cloud recordings. You need a separate General App:
1. Go to [marketplace.zoom.us](https://marketplace.zoom.us/) → Develop → Build App
2. Select **General App**
3. Set redirect URL: `http://localhost:8888/callback`
4. Copy **Client ID** and **Client Secret**
5. Add scopes:
- `cloud_recording:read:list_user_recordings`
- `cloud_recording:read:list_recording_files`
6. Activate the app
7. Authorize (one-time browser flow):
```bash
# Open this URL in browser (replace CLIENT_ID):
https://zoom.us/oauth/authorize?response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=http://localhost:8888/callback
# After authorizing, you'll be redirected to:
# http://localhost:8888/callback?code=AUTHORIZATION_CODE
# Exchange the code for tokens (replace values):
python3 -c "
import requests, json
resp = requests.post('https://zoom.us/oauth/token',
auth=('CLIENT_ID', 'CLIENT_SECRET'),
data={'grant_type': 'authorization_code', 'code': 'AUTH_CODE', 'redirect_uri': 'http://localhost:8888/callback'})
data = resp.json()
data['client_id'] = 'CLIENT_ID'
data['client_secret'] = 'CLIENT_SECRET'
data['expires_at'] = __import__('time').time() + data.get('expires_in', 3600)
with open(__import__('pathlib').Path.home() / '.zoom_credentials/oauth_token.json', 'w') as f:
json.dump(data, f, indent=2)
print('Saved!')
"
```
## Quick Start
```bash
# Check setup
python3 scripts/zoom_meetings.py setup
# List upcoming meetings
python3 scripts/zoom_meetings.py list
# Create a meeting
python3 scripts/zoom_meetings.py create "Team Standup" --start "2025-01-15T10:00:00" --duration 30
# List recordings
python3 scripts/zoom_meetings.py recordings --start 2025-01-01
```
## Commands
### Meetings
```bash
# List meetings
python3 scripts/zoom_meetings.py list # upcoming
python3 scripts/zoom_meetings.py list --type previous # past
python3 scripts/zoom_meetings.py list --limit 10 --json
# Get meeting details
python3 scripts/zoom_meetings.py get MEETING_ID
# Create meeting (times are treated as LOCAL time)
python3 scripts/zoom_meetings.py create "Topic" # instant
python3 scripts/zoom_meetings.py create "Topic" --start "2025-01-15T14:00:00" # scheduled (local time)
python3 scripts/zoom_meetings.py create "Topic" --duration 60 --timezone "Europe/Berlin"
python3 scripts/zoom_meetings.py create "Topic" --agenda "Discussion points" --waiting-room
python3 scripts/zoom_meetings.py create "Topic" --invite "[email protected]" # send invite
python3 scripts/zoom_meetings.py create "Topic" --invite "[email protected]" --invite "[email protected]" # multiple
# Update meeting
python3 scripts/zoom_meetings.py update MEETING_ID --topic "New Topic"
python3 scripts/zoom_meetings.py update MEETING_ID --start "2025-01-16T10:00:00"
# Delete meeting (requires meeting:delete:meeting:admin scope)
python3 scripts/zoom_meetings.py delete MEETING_ID
```
### Recordings
```bash
# List all recordings (default: last 30 days)
python3 scripts/zoom_meetings.py recordings
# With date range
python3 scripts/zoom_meetings.py recordings --start 2025-01-01 --end 2025-01-31
# Show download URLs
python3 scripts/zoom_meetings.py recordings --show-downloads
# Get specific meeting's recordings
python3 scripts/zoom_meetings.py recording MEETING_ID
# JSON output
python3 scripts/zoom_meetings.py recordings --json
```
## Output Formats
### Markdown (default)
```markdown
# Zoom Meetings (3 upcoming)
## Weekly Team Sync
**ID:** 123456789
**Start:** 2025-01-15 14:00:00 UTC
**Duration:** 60 minutes
**Join URL:** https://zoom.us/j/123456789
```
### JSON
Add `--json` for structured output suitable for piping to other tools.
## Recording File Types
| Type | Description |
|------|-------------|
| MP4 | Video recording |
| M4A | Audio only |
| TRANSCRIPT | Text transcript (VTT) |
| CHAT | Chat messages |
| TIMELINE | Speaker timeline |
| SUMMARY | AI meeting summary |
## Example User Requests
| User says | Command |
|-----------|---------|
| "List my Zoom meetings" | `list` |
| "Show past meetings" | `list --type previous` |
| "Create a meeting for tomorrow at 2pm" | `create "Meeting" --start "2025-01-15T14:00:00"` |
| "Show my Zoom recordings" | `recordings --start 2025-01-01` |
| "Get the recording for meeting X" | `recording MEETING_ID` |
## Dependencies
```bash
pip install requests
```
## Files
| File | Purpose |
|------|---------|
| `~/.zoom_credentials/credentials.json` | S2S OAuth credentials |
| `~/.zoom_credentials/token.json` | S2S cached token |
| `~/.zoom_credentials/oauth_token.json` | User OAuth tokens (auto-refreshes) |
## Known Pitfalls
- **`join_before_host` is account-level.** This setting is locked at the Zoom account admin level. Setting it via API per-meeting is silently ignored if the account setting overrides it. Must change in Zoom admin settings (Security → "Allow participants to join before host") first, then API calls respect it.
- **Waiting room overrides join-before-host.** If waiting room is enabled at account level, `join_before_host` won't work even if the API accepts it.
## API Reference
- [Zoom Meeting APIs](https://developers.zoom.us/docs/api/meetings/)
- [Zoom API Reference](https://developers.zoom.us/docs/api/rest/reference/zoom-api/methods/)
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.