vellum-ai
@vellum-ai Organization
Public Skills
vellum-memory-v3-migration
by vellum-ai
One-time migration of an existing memory-v2 concept corpus into the memory-v3 section-grain "wiki" — topical articles with a stand-alone lead and queryable sections — with loss-proof staging, assistant-reviewed authoring, and a retrieval-eval gate before cutover.
contacts
by vellum-ai
Manage contacts, communication channels, access control, and invite links
frontend-design
by vellum-ai
Design-quality layer for frontend code — typography, color, motion, spatial composition, and avoiding generic "AI slop" aesthetics. Use this as a companion when you are already writing or styling frontend code and want it to look distinctive and production-grade. For building an app, dashboard, tracker, calculator, visualization, landing page, or slide deck the user wants inside the assistant, load app-builder instead — it loads this skill itself for the design pass.
google-calendar
by vellum-ai
View Google Calendar events for any day, create and manage events, and check availability
typescript-eval
by vellum-ai
Test TypeScript code snippets before persisting as skills
screen-recording
by vellum-ai
Record the user's screen as a video file
influencer
by vellum-ai
Research influencers on Instagram, TikTok, and X/Twitter through your browser
api-mapping
by vellum-ai
Record and analyze API surfaces of web services
outlook-calendar
by vellum-ai
View Outlook Calendar events for any day, create and manage events, and check availability
geo-audit
by vellum-ai
Runs a one-command technical GEO audit on any domain. Checks AI crawler access, llms.txt presence, server-side rendering, sitemap, and schema markup. Streams results live and ends with a 0–100 score plus the top 3 prioritized fixes. Built to be both genuinely useful and great to demo on camera.
slack-app-setup
by vellum-ai
Connect a Slack app to the Vellum Assistant via Socket Mode. Use whenever the user wants to set up Slack for their assistant, connect a workspace, or get the assistant talking in Slack — opens a guided setup wizard in the side panel so the user can create the app, generate tokens, and connect in one flow.
inbox-management
by vellum-ai
Ongoing Gmail inbox management via scheduled runs. Archives known noise, flags urgent items, drafts replies in-thread (never auto-sends), and catches stale follow-ups. Empty polls spend no model tokens. Starts in flag-only mode.
vellum-memory-v2-migration
by vellum-ai
Perform a one-time migration from memory v1, to memory v2, which was introduced in 0.8.0.
media-processing
by vellum-ai
"Ingest and process media files (video, audio, image)"
llm-cost-optimizer
by vellum-ai
"Analyze and reduce LLM spend: read usage breakdowns by call site, model, and inference profile, understand single-winner profile resolution, and pin call sites to managed profiles (Balanced / Quality / Budget / Fast) only where they should deviate from shipped defaults."
discord-app-setup
by vellum-ai
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
phone-calls
by vellum-ai
"Make outgoing phone calls, receive incoming calls, and pull up past call transcripts"
release
by vellum-ai
Cut a new release: create the release branch (staging bake), then dispatch the production Release run on that branch.
public-ingress
by vellum-ai
Set up and manage ngrok-based public ingress for local assistants; do not use this in managed mode when platform callback routing is available
macos-automation
by vellum-ai
Automate native macOS apps and system interactions via osascript (AppleScript)
twilio-setup
by vellum-ai
Configure Twilio credentials and phone numbers for voice calls
vellum-conversation-management
by vellum-ai
Manage conversation threads (rename, list, search, export)
assistant-migration
by vellum-ai
Migrate from ChatGPT, Claude, OpenClaw, Hermes, Manus, and other AI assistants into Vellum by inspecting their data exports, conversation archives, files, prompts, custom instructions, memory, saved memories, tools, GPTs, workflows, integrations, and relationships, then mapping as much as safely possible into Vellum primitives. Handles single-source and multi-source migrations with a unified, deduplicated inventory.
memory-corpus-ingest
by vellum-ai
Ingest a large dataset into memory as a skimmed map. Cold-store the raw files under a workspace imports directory, census them into a slice plan, skim each slice into compact map pages that point back at the raw files, ingest the map with the memory ingest CLI, and author a drill-in retrieval skill so the corpus stays searchable on demand. For recording archives, transcript collections, document dumps, and any corpus too large to hold in memory directly.