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Motherduck Pricing Roi

Organization
motherduckdb
motherduck-pricing-roi

Assess MotherDuck costs, plan fit, cost attribution, and ROI from the workload's compute and storage needs.

Overview

Publishermotherduckdb
Repositoryagent-skills
Skill namemotherduck-pricing-roi
Stars
62
Forks
6
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by motherduckdb on GitHub. Read the source before you install it.

Installation

Install the Motherduck Pricing Roi 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/motherduckdb/agent-skills/tree/main/plugins/motherduck-skills-claude/skills/motherduck-pricing-roi
  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/motherduckdb/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/motherduck-skills-claude/skills/motherduck-pricing-roi .claude/skills/motherduck-pricing-roi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motherduck Pricing Roi 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 Motherduck Pricing Roi 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 Motherduck Pricing Roi 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.

Pricing and ROI

Source Of Truth

  • Always verify current numbers, plan limits, and feature entitlements against the live public pricing page before answering.
  • If the MotherDuck MCP ask_docs_question feature is available, use it first for pricing-related documentation lookups.
  • Use the live pricing, Hypertenancy, and Trust & Security pages for exact commercial framing.

Default Posture

  • To find what drives spend, group md_information_schema.query_history by user_agent (workload tags from custom_user_agent; Flight queries start with md-flights(<flight_id>), user or service account, and instance_type; the Duckling Overview shows the same in the UI. Recommend tagging untagged workloads.
  • Do not hardcode pricing numbers unless you have verified them in the current turn.
  • When quoting numbers, include the verification date and the public source you checked.
  • For estimates and comparisons, separate storage, compute, and operational overhead. A narrow price lookup needs only the relevant verified rate and conditions.
  • Map workload shape to cost shape before comparing vendors or plans.
  • Treat many pricing questions as risk, predictability, or procurement questions rather than purely technical ones.
  • Verify plan-sensitive entitlements such as Flight sizes and scheduling/runtime limits, custom roles, table-level security, secure views, regions, and embedded features in the current turn; do not infer them from an older release note.
  • Price Flights and AI functions as their own lines. Flights bill per run-hour by size (F4, F16, F32), and the SQL a Flight sends is Duckling compute. AI functions bill in AI Units under the AI session cap: prompt_jev() meters input tokens only and is usually the cheapest way to classify at scale; prompt() cost depends on the model and reasoning_effort (default 'none').
  • For procurement through AWS, MotherDuck is available on AWS Marketplace by Private Offer for consolidated AWS billing.

Workflow

  1. Identify the workload shape, team size, and comparison baseline.
  2. Determine whether the real concern is raw spend, predictability, procurement, or operational overhead.
  3. Map the workload to MotherDuck cost buckets and plan posture.
  4. Frame ROI in terms of systems replaced, complexity removed, and faster delivery.
  5. Call out what still needs live pricing-page or sales confirmation.

References

Read only the reference sections needed for the current task.

  • Read references/PRICING_ROI_PLAYBOOK.md for workload-to-cost mapping, publicly safe talking points, ROI framing, and what not to promise

Related Skills

Load related skills only for missing capabilities; reuse established context.

  • motherduck-connect when the pricing discussion depends on connection-path choices
  • motherduck-security-governance when compliance, residency, or commercial controls affect ROI
  • motherduck-build-cfa-app and motherduck-build-dashboard when the economics depend on the application architecture

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Motherduck Pricing Roi AI skill do?

Assess MotherDuck costs, plan fit, cost attribution, and ROI from the workload's compute and storage needs.

Why use Motherduck Pricing Roi on TypingMind?

Because you install it once and use it with any model. Motherduck Pricing Roi 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 Motherduck Pricing Roi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/motherduckdb/agent-skills/tree/main/plugins/motherduck-skills-claude/skills/motherduck-pricing-roi. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Motherduck Pricing Roi?

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 Motherduck Pricing Roi?

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

Is the Motherduck Pricing Roi AI skill free?

Yes. It is published on GitHub by motherduckdb 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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