What does this skill do, and when should you use it?
AgentCall is an Agent Skill that lets coding agents like Claude Code, Cursor, Codex, and 30+ other frameworks join video meetings as a real participant. The bot can talk (TTS), listen (real-time transcription), see (screenshots), show an animated avatar, and screenshare dynamically. It runs on AgentCall's cloud meeting infrastructure; the agent exchanges JSON events and commands over WebSocket stdio. It requires Python 3.10+ or Node.js 18+ and an AgentCall account that the agent can self-register via a one-time email code.
Runs ./scripts/run.sh <meet-url> to launch a meeting bot; receives JSON events on stdout (lifecycle, transcript.final/partial, participant joins/leaves, chat messages, TTS state) and sends JSON commands on stdin (tts.speak, send_chat, raise_hand, leave, screenshot, screenshare.start, etc.). Supports four modes: audio, webpage-audio, webpage-av, and webpage-av-screenshare; voice strategies are direct (agent fully controls TTS with 54 voices) and collaborative (GetSun voice intelligence handles trigger words, barge-in, and interruptions). The agent serves avatar pages and shared content from a local HTTP server through a secure tunnel, so no port exposure is needed. The API key is persisted in ~/.agentcall/config..
- A developer has their Claude Code agent verbally report deployment status, check code, and fix bugs live during a standup
- Customer support or technical assistance where an agent talks 1-on-1 with a user in direct mode
- An agent attends a team meeting as an animated avatar and screenshares slides or dashboards on command
- Teams wanting meeting minutes run the bot in audio mode to transcribe in real time and answer questions
- Showcasing interactive content via webpage.open — the agent serves a clickable form, report, or code diff participants open in their own browsers
How do you install this skill?
- All meeting audio and transcripts transit a third-party cloud (agentcall.dev); assess data-egress risk before using with sensitive meetings.
- The skill can self-register via email and mint an API key without per-action confirmation; monitor creation of ~/.agentcall/config..
- Any meeting participant can steer the agent via transcripts — restrict the agent with your framework's allowlist/plan-mode during calls.
- Core function depends entirely on overseas services; likely unreachable from mainland-China networks.
- Static review only — no scripts were executed; real join behavior and GetSun latency claims are independently unverified.
- Shell / CLI
- Network access
- Local filesystem
Python 3.10+ or Node.js 18+aiohttp and websockets (Python) or npm ws (Node.js)AgentCall account / API key
Claude Code: run /plugin marketplace add pattern-ai-labs/agentcall, then /plugin install join-meeting@agentcall. Other agents: OpenClaw — openclaw skills install join-meeting; Cursor — /add-plugin; Codex CLI — drop into ~/.codex/skills/; Gemini CLI — gemini extensions install https://github.com/pattern-ai-labs/agentcall; generic — git clone https://github.com/pattern-ai-labs/agentcall.git and place the folder in your agent's skills directory (e.g. .windsurf/skills/ or .claude/skills/). Dependencies: pip install aiohttp websockets, or cd scripts/node && npm install.
git clone --depth 1 https://github.com/pattern-ai-labs/agentcall.git ~/.claude/skills/agentcallGenerated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Join this meeting: https://meet.google.com/abc-def-ghi
On first use the skill guides self-registration: run python scripts/python/register.py send --email [email protected], retrieve the 6-digit code from the inbox (expires in 10 minutes), then run register.py verify — the key is saved to ~/.agentcall/config.. Then simply tell your agent: "Join this meeting: https://meet.google.com/abc-def-ghi". The bot takes 30–90 seconds to join; wait for call.bot_ready and at least one participant.joined event before it speaks.
What are this skill's strengths and limitations?
- Works with 30+ agent frameworks (Claude Code, Cursor, Codex, Gemini CLI, Copilot, etc.) — only needs subprocess spawning and stdout reading
- Full feature set: voice, transcription, screenshots, chat, avatar, dynamic screenshare, plus 7 built-in UI templates
- In collaborative mode, GetSun handles barge-in, interruptions, and trigger words so the agent never needs sub-second response times
- Tunnel design requires no public internet exposure; crash recovery and WebSocket auto-reconnect built in
- Free trial credits (360 minutes); the agent can self-register via email with no human dashboard steps
- Depends on the closed-source AgentCall cloud service with per-minute billing beyond the base plan (6 hours, 1 concurrent call)
- Bots take 30–90 seconds to join, and calls are capped by plan duration limits — a new call must be proactively created before the limit
- Transcripts arrive as agent input, so any meeting participant can steer the agent; you must configure your framework's permission system for high-trust workflows
- Screenshare pages render in a headless browser — participants cannot click or scroll, and pages must be designed for 1280x720 with polling-based updates
- Zoom and Teams support is labeled Beta (Google Meet is fastest); no test suite is provided, so real-world multi-platform stability lacks independent evidence
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| AgentCall Join-Meeting Skill this page | 52 · Use with care | ★ 168 | 8d ago | MIT |
| GordenImage2PPTX — Slide Image to Editable PPTX | 48 · Use with care | ★ 2.1k | 4mo ago | — |
| GPT-Image2 PPT Generation Skill | 66 · Recommended | ★ 1.4k | 2mo ago | Apache-2.0 |
| PPT Master | 64 · Recommended | ★ 62k | 11d ago | MIT |
| vibe-check Product Planning Coach | 62 · Recommended | ★ 619 | 3mo ago | MIT |
The source does not name specific competitors; it positions itself as an Agent Skill running on top of 30+ agent frameworks rather than a standalone meeting-bot app.
How did FollowSkills review this skill?
SKILL.md transparently discloses that all meeting audio/transcripts transit a third-party cloud (agentcall.dev/FirstCall) and warns that any participant can steer the agent, recommending framework-level permission scoping — good data-flow disclosure. API key stored in ~/.agentcall/config.; tunnels use per-call credentials distinct from the API key. Deducted for: agent can autonomously self-register with the user's email and mint a key without per-action confirmation, webpage modes auto-start mic capture on load, and no stated local exit/data-deletion path for cloud-processed meeting content.
Internally consistent docs: parameter table, modes, and command semantics align; timeouts, reconnection and crash recovery are described, and the repo ships pytest tests for the bridge stdin path with explicit command.error reporting instead of silent drops. Deducted for: no CI workflow evidence in a static read; key paths (actual meeting join, GetSun collaborative flow) lack executed reproduction; test coverage limited to the stdin bridge layer.
Trigger descriptions are clear ('join a call, attend a meeting'), with a mode-selection table, fit/non-fit guidance, and STT-aware naming guidance; audience is clear. Deducted for: the core function depends entirely on overseas services (api.agentcall.dev plus Google Meet/Teams/Zoom) with no mainland-China reachability statement — likely unusable there; no Chinese-language scenario documentation beyond TTS voice counts.
Has MIT LICENSE, semantic versioning (1.1.15), a detailed CHANGELOG (including Unreleased and external contributor credit), multi-framework install paths, a full parameter table and layered guides. Deducted for: unverified publisher identity, no maintenance/ownership commitment or update SLA, missing known-limitations section (cloud privacy boundary and STT failure rates only appear scattered inline).
Clear value proposition (agents joining meetings with voice/avatar), directly usable command outputs, free trial lowers adoption cost. Deducted for: static review cannot verify real meeting behavior; effectiveness hinges entirely on cloud availability and plan limits; no comparison against local alternatives (e.g., self-hosted Whisper+TTS pipelines); representative outputs unverified.
Substantive pytest suites for both bridges (including error paths and request_id echo) exist and correspond to CHANGELOG entries — auditable primary material. Deducted for: static read without execution; narrow coverage (stdin layer only); no CI run evidence; YouTube demos and GetSun/FirstCall performance claims (<1s latency, 54 voices) are marketing claims without independent corroboration.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →