Challenge Baseline Model
AgibotTech/genie_sim
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…
Make outgoing phone calls, receive incoming calls, and pull up past call transcripts
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vellum-ai/vellum-assistant phone-calls --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .claude/skills/phone-calls && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .claude/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-callsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vellum-ai/vellum-assistant phone-calls --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .agents/skills/phone-calls && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .agents/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vellum-ai/vellum-assistant phone-calls --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .cursor/skills/phone-calls && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .cursor/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vellum-ai/vellum-assistant.git --path assistant/src/config/bundled-skills/phone-calls--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vellum-ai/vellum-assistant phone-calls --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .gemini/skills/phone-calls && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .gemini/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vellum-ai/vellum-assistant phone-callsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .github/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .github/skills/phone-calls && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .github/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill phone-calls -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vellum-ai/vellum-assistant phone-calls --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assistant/src/config/bundled-skills/phone-calls .opencode/skills/phone-calls && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "phone-calls" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/phone-calls into .opencode/skills/phone-calls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phone-calls", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
phone-callsMake outgoing phone calls, receive incoming calls, and pull up past call transcripts
Phone Calls is an agent skill from vellum-ai/vellum-assistant. Make outgoing phone calls, receive incoming calls, and pull up past call transcripts
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `TOOLS.json`, `references/CONFIG.md` and `references/TRANSCRIPTS.md`). Compatibility notes: Designed for Vellum personal assistants
It sits in Productivity & Automation, covering Meeting notes and agendas. It works with Twilio and ElevenLabs. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 33cc983. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (TypeScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
console.twilio.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Vellum personal assistants
From compatibility in the SKILL.md frontmatter.
Phone Calls loads about 3.1k tokens when it runs, and up to ~8.4k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 1,580 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 1,580 words, ~3,092 tokens.
.claude/skills/phone-calls/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.You are helping the user set up and manage phone calls via Twilio. This skill covers enabling the calls feature, placing outbound calls, receiving inbound calls, and interacting with live calls. Twilio credential storage, phone number provisioning, and public ingress are handled by the twilio-setup skill.
When speaking on behalf of your user during calls, refer to yourself as an "assistant" (not "AI assistant"). Use your user's name and pronouns from their user persona file (users/<slug>.md). Don't volunteer that you are an AI unless directly asked.
The calling system connects both outbound and inbound voice calls over Twilio Media Streams: the assistant transcribes and synthesizes call audio itself using the STT provider telephony selects (services.stt.roles.telephony when set, otherwise services.stt.provider) and the TTS provider (services.tts.provider, default: ElevenLabs), so working API keys for both are required before calls can connect. After Twilio setup, the assistant prompts the user to choose a voice from a curated list of supported options.
Follow the steps below to ensure everything is prepared to make and receive phone calls.
Immediately load the twilio-setup skill to begin setup. That skill marks Twilio setup as started before its read-only checks, which gives managed deployments a chance to open the Velay tunnel WebSocket while the user finishes entering credentials and choosing a number. Twilio setup is a prerequisite to all subsequent steps.
Once Twilio is confirmed to be fully configured, enable calls by updating the config:
assistant config set calls.enabled trueVerify:
assistant config get calls.enabledVoice selection and tuning are handled by the elevenlabs-voice skill. Follow the instructions there to pick a curated voice, optionally set up an ElevenLabs API key for advanced selection, or tune voice parameters.
Before making real calls, offer a quick verification. Suggest a test call to the user's own phone: "Want to do a quick test call to your phone to make sure everything works? This is a good way to make sure everything works and that you like the way I sound."
If they agree, ask for their personal phone number and place a test call with a simple task like "Introduce yourself and confirm the call system is working."
The final step is for the user to verify themselves so that they are recognized when they call you. It's also a great way for them to hear what you sound like and decide if they want you to use a different voice.
Load the guardian-verify-setup skill and follow the instructions for guardian verification over the phone channel. This will require the user to provide you with their phone number and then for you to give them a call. Say something like:
Want to do a quick verification call now so that you can hear what I sound like and also so that I recognize your number when you call me in the future? I'll show a 6 digit code here in the chat and when you answer my call, enter it using your phone's keypad.
You can check their verification status with:
assistant channel-verification-sessions status --channel phone --jsonAfter they are verified, ask them what they think of your voice and offer to let them change it. Load up the elevenlabs-voice skill and follow the instructions there to see what voices are available and how to update your configured voice. Say something like:
Great, you're verified! What did you think of my voice? We can update it if you'd like.
Use the call_start tool to place outbound calls. Every call requires:
+14155551234)Making a reservation:
call_start phone_number="+14155551234" task="Make a dinner reservation for 2 people tonight at 7pm" context="The user's name is John Smith. Prefer a table by the window if available."Calling a business:
call_start phone_number="+18005551234" task="Check if they have a specific product in stock" context="Looking for a 65-inch Samsung OLED TV, model QN65S95D. Ask about availability and price."Following up on an appointment:
call_start phone_number="+12125551234" task="Confirm the dentist appointment scheduled for next Tuesday at 2pm" context="The appointment is under the name Jane Doe, DOB 03/15/1990."Implicit calls always use the assistant's Twilio number (assistant_number). Only specify caller_identity_mode when the user explicitly requests a different identity for a specific call.
Default call (assistant number):
call_start phone_number="+14155551234" task="Check store hours for today"Call from the user's own number:
call_start phone_number="+14155551234" task="Check store hours for today" caller_identity_mode="user_number"Decision rule: Implicit calls (no explicit mode) always use the assistant's Twilio number. Only use caller_identity_mode="user_number" when the user explicitly requests it for a specific call.
Phone numbers MUST be in E.164 format: + followed by country code and number with no spaces, dashes, or parentheses.
+1XXXXXXXXXX (e.g. +14155551234)+44XXXXXXXXXX (e.g. +442071234567)+{country_code}{number}If the user provides a number in a different format, convert it to E.164 before calling. If the country is ambiguous, ask.
On Twilio trial accounts, outbound calls can ONLY be made to verified numbers. If a call fails with a "not verified" error:
Once Twilio is configured and the assistant has a phone number, inbound calls work automatically. When someone dials the assistant's number:
No additional configuration is needed beyond Twilio setup and calls.enabled being true. As long as the phone number has been provisioned/assigned, inbound calls are handled automatically.
To set up guardian verification, load the skill: skill_load skill=guardian-verify-setup. Once a guardian binding exists, inbound callers may be prompted for verification before calls proceed.
During an active call, the user can interact with the AI voice agent via the HTTP API endpoints. After placing a call with call_start, use call_status to poll the call state.
When the AI voice agent encounters something it needs user input for, it dispatches an ASK_GUARDIAN request to all configured guardian channels (mac desktop, Telegram). The call status changes to waiting_on_user.
Important: Respond to pending questions quickly. There is a consultation timeout (default: 2 minutes). If no answer is provided in time, the AI voice agent will move on.
When a consultation times out, the voice agent apologizes to the caller and moves on -- but the interaction is not lost. If the guardian responds after the timeout:
All user-facing messages in this flow (timeout acknowledgments, follow-up prompts, completion confirmations) are generated by the assistant to maintain a natural, conversational tone. No fixed/canned responses are used.
The follow-up flow works across all guardian channels. The guardian can receive the timeout notice on Telegram and choose to call back -- the system handles cross-channel routing transparently.
When there is no pending question but the call is still active, the user can send steering instructions via the HTTP API (POST /v1/calls/:id/instruction) to proactively guide the call in real time - for example:
The instruction is injected into the AI voice agent's conversation context as high-priority input, and the agent adjusts its behavior accordingly.
Note: Steering is done via the HTTP API, not the desktop chat conversation. The desktop conversation only receives pointer/status messages about the call.
Use call_end with the call session ID to terminate an active call:
call_end call_session_id="<session_id>" reason="User requested to end the call"For detailed information on the following topics, see the reference files:
© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (references) in assistant/src/config/bundled-skills/phone-calls of vellum-ai/vellum-assistant.
Open the folder on GitHubat commit 33cc983
Phone Calls next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Phone Calls this skillvellum-ai/vellum-assistant | 1.4k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Challenge Baseline ModelAgibotTech/genie_sim | 1.4k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Lark Todoautumnseasonism/lark-todo | 138 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Claap Weekly RecapOthmane-Khadri/YALC-the-GTM-operating-system | 318 | — | ~5.4k | Automated safety check: Pass | MIT | |
| Summarize Callreysu/ai-life-skills | 270 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Ingestcoreyhaines31/makerskills | 851 | — | ~1.8k | Automated safety check: Pass | MIT |
AgibotTech/genie_sim
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…
autumnseasonism/lark-todo
飞书全平台待办扫描:IM 消息、会议纪要、日程、文档评论、待办审批、我发起的审批、邮件、已有任务八源并行采集,按优先级排序后支持直接处理或建任务。多企业账号自动发现并并行扫描,跨企业合并。用户说'有啥待办'、'@我的消息'、'扫一圈'、'收工检查'、'今天还差啥'、'morning standup'、'daily review' 时触发,连随口'忙不忙'、'有人找我吗'也应触发。同时覆盖多企业…
Othmane-Khadri/YALC-the-GTM-operating-system
Turns a week of Claap-recorded sales calls into action items and focus blocks on a Notion Kanban, delivered with a Slack summary.
reysu/ai-life-skills
Transcribe a call recording with speaker diarization, summarize it, and create Obsidian vault notes (call note, transcript, person notes for participants).
coreyhaines31/makerskills
When you paste raw human input — a call transcript (Grain, Zoom, Granola, Fathom), a text or email from a client/partner/friend, a voice-memo dump, or meeting notes — and want it converted into…
Ar9av/obsidian-wiki
Run or configure the daily wiki maintenance cycle: check source freshness, refresh the index and hot.md, and manage its scheduled 9 AM launchd/systemd/cron reminder.
vellum-ai/vellum-assistant
Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.
vellum-ai/vellum-assistant
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
vellum-ai/vellum-assistant
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
vellum-ai/vellum-assistant
Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.
vellum-ai/vellum-assistant
A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.
vellum-ai/vellum-assistant
Connect a Slack app to the Vellum Assistant via Socket Mode.
Works with
Categories
Make outgoing phone calls, receive incoming calls, and pull up past call transcripts. Phone Calls is an agent skill from vellum-ai/vellum-assistant.
Phone Calls fits situations like: tasks that involve Meeting notes and agendas.
Run `npx skills add vellum-ai/vellum-assistant --skill phone-calls -a claude-code`. Or copy the skill folder (assistant/src/config/bundled-skills/phone-calls in vellum-ai/vellum-assistant) into .claude/skills/phone-calls in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vellum-ai/vellum-assistant --skill phone-calls -a codex`. Or copy the skill folder (assistant/src/config/bundled-skills/phone-calls in vellum-ai/vellum-assistant) into .agents/skills/phone-calls in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill phone-calls -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phone-calls, .gemini/skills/phone-calls, .github/skills/phone-calls and .opencode/skills/phone-calls in your project.
Going by SKILL.md and its folder, Phone Calls needs TypeScript for the scripts in its folder. Our summary lists: Node.js. Compatibility (from SKILL.md): Designed for Vellum personal assistants.
SKILL.md names 1 domain. As links in the text: console.twilio.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Phone Calls is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Phone Calls: Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars), Lark Todo (autumnseasonism/lark-todo, 138 stars), Claap Weekly Recap (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars) and Summarize Call (reysu/ai-life-skills, 270 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.
Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.