agents
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool use, or wiring access controls…
Use when building features that join, record, or transcribe Zoom/Meet/Teams/Webex calls — meeting bots, call notetakers, sales-call summarizers, interview transcribers. Covers ctx.ai.meetings.start/get/stop/list, webhook setup, and credit metering.
$ npx -y skills add butterbase-ai/butterbase-skills --skill meetings --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/meetingsContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when building features that join, record, or transcribe Zoom/Meet/Teams/Webex calls — meeting bots, call notetakers, sales-call summarizers, interview transcribers. Covers ctx.ai.meetings.start/get/stop/list, webhook setup, and credit metering.
name: meetings description: Use when building features that join, record, or transcribe Zoom/Meet/Teams/Webex calls — meeting bots, call notetakers, sales-call summarizers, interview transcribers. Covers ctx.ai.meetings.start/get/stop/list, webhook setup, and credit metering.
Guide for building features that spawn meeting bots via `ctx.ai.meetings`. Covers the four SDK methods, webhook handling, idempotency, and cost-aware design.
---
Reach for this skill when your feature involves any of:
If you need only audio/video file upload without a live meeting join, use `manage_storage` instead.
---
| Method | What it does | One-line example | |--------|-------------|-----------------| | `bb.ai.meetings.start(opts)` | Spawns a bot and returns immediately with `status: "joining"` | `const { data: bot } = await bb.ai.meetings.start({ meetingUrl, transcript: true })` | | `bb.ai.meetings.get(id)` | Fetches current status + artifact URLs | `const { data } = await bb.ai.meetings.get(bot.id)` | | `bb.ai.meetings.stop(id)` | Removes the bot from the call early | `await bb.ai.meetings.stop(bot.id)` | | `bb.ai.meetings.list(opts)` | Lists bots with optional `status`, `limit`, `cursor` filters | `await bb.ai.meetings.list({ status: 'done', limit: 50 })` |
All methods return `{ data, error }` — always check `error` before using `data`.
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1. **Configure webhook** — call `manage_ai` with `action: "configure_meetings_webhook"`, passing `forward_url` pointing at a deployed Butterbase function or your own endpoint. 2. **Start the bot** — app calls `bb.ai.meetings.start(...)`. Status begins as `joining`. 3. **Bot joins** — status progresses `joining → waiting_room → in_call → recording`. The `bot.in_call_recording` event fires. 4. **Call ends** — bot status moves to `ended`, then `done` once artifacts are processed. 5. **Webhook fires `bot.done`** — your handler receives the event. The bot's `recordingUrl` and `transcriptUrl` are now populated. 6. **Fetch artifacts** — download the recording or transcript using the URLs from `bb.ai.meetings.get(id)`. 7. **Write to substrate / database** — store the transcript text, link to the relevant entity (deal, candidate, customer), or insert into a RAG collection. 8. **Trigger downstream extract** — run an LLM summarization, action-item extraction, or scoring job.
---
Deploy this as a Butterbase function with `trigger: { type: "http", config: { method: "POST", auth: "none" } }`.
export async function handler(req: Request, ctx: any): Promise<Response> {
const event = req.headers.get('x-bb-event');
const body = await req.text();
const payload = JSON.parse(body);
const botId: string = payload.data?.bot_id ?? payload.data?.id;
// Idempotency: skip if we already processed this bot + event combo.
const claimed = await ctx.idempotency.claim(`meeting:${botId}:${event}`);
if (!claimed) {
return new Response('duplicate', { status: 200 });
}
switch (event) {
case 'bot.done': {
// Artifacts are ready — store a reference or kick off extraction.
await ctx.db.query(
`UPDATE meeting_jobs SET status = 'done', bot_id = $1 WHERE external_ref = $2`,
[botId, payload.data?.metadata?.jobRef ?? botId]
);
break;
}
case 'transcript.done': {
// Transcript artifact URL is now available. Kick off downstream processing.
await ctx.db.query(
`INSERT INTO transcript_queue (bot_id, created_at) VALUES ($1, now())`,
[botId]
);
break;
}
case 'bot.fatal': {
await ctx.db.query(
`UPDATE meeting_jobs SET status = 'fatal' WHERE bot_id = $1`,
[botId]
);
break;
}
default:
// Other events (bot.in_call_recording, recording.done, transcript.failed) — handle as needed.
break;
}
return new Response('ok', { status: 200 });
}Key points:
---
Before dispatching a bot in a user-pays context, call `estimateCost` and surface the projected charge:
const { data: estimate } = await bb.ai.meetings.estimateCost({
durationMinutes: 60,
transcript: true,
});
// estimate.usd — show this to the user or check against a quota**Rates (v1):**
| Dimension | Rate | |-----------|------| | Recording (mp4 or audio_only) | **$0.50/hr + markup**, prorated per second | | Transcription | **$0.15/hr + markup**, prorated per second |
Both charges are applied against the app's AI credit balance once the bot reaches `done`.
For user-pays apps, hold a projected credit reservation at bot-start time and display a live cost counter using the bot's current duration (polled from `bb.ai.meetings.get`).
---
The underlying meetings infrastructure may change providers without notice. Do not depend on undocumented fields in the event payload or on provider-specific bot behavior.
---
Claude Code plugin for Butterbase — the AI-Native Backend-as-a-Service. This plugin gives Claude deep knowledge of Butterbase's 42+ MCP tools, guides you through common workflows, and auto-configures the MCP server connection.
Repo: butterbase-ai/butterbase-skills
Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool use, or wiring access controls…
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