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Vellum Self Knowledge

OrganizationPopular
vellum-ai
vellum-self-knowledge

Answer questions about Vellum, its config, billing, and hosting from live sources of truth

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namevellum-self-knowledge
Stars
1.4K
Forks
208
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Vellum Self Knowledge AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-self-knowledge
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/vellum-self-knowledge .claude/skills/vellum-self-knowledge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vellum Self Knowledge in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vellum Self Knowledge on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vellum Self Knowledge is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Critical Rule

Never answer from memory or general knowledge about Vellum. Always go to a source of truth.

Pretrained knowledge may describe a distinct, legacy Vellum product for prompt and workflow development. That product is not this assistant. Never use it to answer questions about this Vellum.

This skill contains zero static information — only pointers to where the truth lives.

Sources of Truth

1. The assistant CLI — Live Runtime State

The CLI is the single source of truth for anything about the running assistant's current state.

Question typeCommand
Current model, provider, configassistant config get llm
Full configassistant config list
Config schema (what's configurable)assistant config schema [path]
Available/installed skillsassistant skills list --json
Platform connectionassistant platform status --json
Balance, plan credit left/used, extra credit, expiry, daily limitassistant platform credits --json
Plan, subscription status, billing cycle boundaryassistant platform subscription --json
Plan catalog and pricingassistant platform plans --json
Invoicesassistant platform invoices list --json
Auth/identityassistant auth info --json
Which providers exist, and in which senseassistant oauth providers list --json
Whether one is actually connectedassistant oauth status <provider>
Channel delivery healthassistant channels list
Connected clientsassistant clients list --json
Trust rulesassistant trust list
Stored credentialsassistant credentials list
API keysassistant keys list
MCP serversassistant mcp list
Watchersassistant watchers list
Token usage/costsassistant usage totals / assistant usage breakdown --group-by provider
Versionassistant --version

Run assistant --help or assistant <command> --help to discover more.

"Is X connected?" has two answers and a service can have either, both, or neither. It takes both commands: the providers list is a catalog and says nothing about whether anything is connected, so use it to find which provider keys belong to X, then check each with oauth status.

Each provider in that list carries its sense: actsAs in the CLI's JSON, acts_as over HTTP. user means the assistant can act as the person who authorized it, assistant means a bot people reach the assistant through. Report the sense found rather than a bare yes.

Do not infer the sense from the provider key. slack and discord name the user integration while their bots are slack_channel and discord_channel, yet telegram is itself the bot. Some services offer both from one authorize URL, so having done one is not evidence of the other, and people often cannot recall which they did.

channels list reports delivery health for channels that have a readiness probe, which is not all of them. It answers whether a channel is working, not whether something is connected.

Credit balance, plan credit, and today's spend come from the platform's billing ledger through platform credits and platform subscription, never from an estimate. "How much of my allowance is left" is the plan-credit reading, the same one the in-app usage meter shows: plan_credit_remaining of plan_credit_total, with plan_credit_used_fraction as the percentage. When plan_credits_spent is true, further managed usage draws on extra_credit_remaining only if that is above zero; at zero the organization is out of credit. Plan credit mixes grants with different lifetimes (only the Pro bundle turns over with the billing cycle), so it has no single reset date: give next_credit_expiry_at and credits_expiring_soon for what expires next (across all grants, not only plan credit), and currentPeriodEnd from platform subscription only as the billing cycle boundary. When the grant fields are null, say the platform reports no plan-credit figures rather than deriving them. The only spend figure platform credits reports is daily_spend: today's (UTC) spend counted against the daily credit limit, which excludes spend covered by plan-included credits. Present it as exactly that. For total spend today, or spend over any other period, say that you cannot see it and point to Settings > Billing; do not substitute daily_spend or usage totals, which is a local token-cost estimate, not the ledger. When platform credits fails or the assistant is not connected to the platform, say plainly that you cannot see the balance and point to Settings > Billing. Do not guess a number, an allowance model, or a reset schedule, and never imply you checked when you did not.

2. Vellum Docs Site — Conceptual Knowledge

For "what is", "how does", and "why" questions, fetch the relevant page from the docs site. Base URL: https://www.vellum.ai/docs

TopicPath
What is Vellum/getting-started/what-is-vellum
Installation/getting-started/installation
Quick start/getting-started/quick-start
Your first skill/getting-started/your-first-skill
How it all fits together/key-concepts/how-it-all-fits-together
The workspace/key-concepts/the-workspace
Skills & tools/key-concepts/skills-and-tools
Memory & context/key-concepts/memory-and-context
Channels/key-concepts/channels
Identity/key-concepts/identity
Scheduling/key-concepts/scheduling
Glossary/key-concepts/glossary
Privacy & data/trust-security/privacy-and-data
The permissions model/trust-security/the-permissions-model
Security best practices/trust-security/security-best-practices
Architecture/developer-guide/architecture
Security (developer)/developer-guide/security
Features & capabilities/developer-guide/features
API & communication/developer-guide/api
Development workflow/developer-guide/development-workflow
Contributing/developer-guide/contributing
Local hosting/hosting-options/local-hosting
Advanced hosting/hosting-options/advanced-options
Environments/environments
Pricing/pricing
Roadmap/roadmap
FAQ/help/faq
Common issues/help/common-issues
Getting help/help/getting-help
Skills reference index/skills-reference
Specific skill reference/skills-reference/<skill-name>

Install, platform, and "how do I install you" questions belong on Installation and FAQ, not memory. Pricing and "is it free" belong on Pricing, then the assistant platform credits|subscription|plans commands for this assistant's live plan.

Use web_fetch to pull the page content. If a URL 404s, try fetching the docs homepage and navigating from the sidebar.

3. Source Code — Deep Implementation Details

For questions the docs and CLI can't answer (internal architecture, how a specific feature is implemented, source-level details):

  1. Get the current version: assistant --version
  2. The open source repo is at https://github.com/vellum-ai/vellum-assistant
  3. The release for version X is at https://github.com/vellum-ai/vellum-assistant/releases/tag/vX.Y.Z
  4. Check out the matching tag locally: cd /workspace/vellum-assistant && git fetch --tags && git checkout v<version>
  5. Key source locations:
    • assistant/ — Runtime (conversation loop, tool dispatch, memory, scheduling)
    • gateway/ — Ingress boundary (webhooks, Telegram, Twilio, reverse proxy)
    • clients/ - End-user surfaces (web SPA, iOS, Android, macOS, Windows, Linux, Chrome extension)
    • skills/ — Bundled skill definitions
    • ARCHITECTURE.md — Cross-system index
    • assistant/ARCHITECTURE.md — Runtime internals
    • gateway/ARCHITECTURE.md — Gateway internals
    • assistant/docs/architecture/ — Detailed architecture docs (security, memory, etc.)
  6. Read the relevant source files to answer the question.

Resolution Order

  1. CLI first — if the question is about current state, config, or capabilities, the CLI has it.
  2. Docs second — if the question is conceptual ("what is X", "how does Y work"), fetch the docs page.
  3. Source code last — only for deep implementation questions that the docs don't cover.

Frequently asked questions

What does the Vellum Self Knowledge AI skill do?

Answer questions about Vellum, its config, billing, and hosting from live sources of truth

Why use Vellum Self Knowledge on TypingMind?

Because you install it once and use it with any model. Vellum Self Knowledge is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vellum Self Knowledge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-self-knowledge. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vellum Self Knowledge?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vellum Self Knowledge?

As many as you like. As long as a model supports skills, you can use Vellum Self Knowledge with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vellum Self Knowledge AI skill free?

Yes. It is published on GitHub by vellum-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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