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Table Calculations

OrganizationPopular
lightdash
table-calculations

Author formula table calculations for run_metric_query, including ratios, aggregate comparisons, windows and rankings.

Overview

Publisherlightdash
Repositorylightdash
Skill nametable-calculations
Stars
6.1K
Forks
778
Bundled files
Instructions only
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 lightdash on GitHub. Read the source before you install it.

Installation

Install the Table Calculations 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.
  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/lightdash/lightdash.git /tmp/lightdash
mkdir -p .claude/skills
cp -r /tmp/lightdash/packages/backend/src/ee/services/ai/skills/builtInSkills/table-calculations .claude/skills/table-calculations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Table Calculations 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 Table Calculations 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 Table Calculations 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.

Table calculations

For run_metric_query, author queryConfig.tableCalculations as type formula. The input schema documents the syntax and required fields; use spreadsheet-like formulas, not raw SQL.

Calculations operate on query results after aggregation. Reference selected field IDs or other table calculation names. The names below are placeholders: replace them with the actual fields or calculations in your query. Do not add grouping dimensions unless the user requested that grain.

When to use them

  • Arithmetic across metrics: metric_a + metric_b, ratios metric_a / metric_b.
  • Aggregating already-aggregated metrics (e.g., average of monthly totals): AVG(metric).
  • Percent of total: m / SUM(m).
  • Period-over-period: (m - LAG(m, ORDER BY date)) / LAG(m, ORDER BY date).
  • Rankings: RANK(ORDER BY m DESC).
  • Running totals: RUNNING_TOTAL(m, ORDER BY date).
  • Trailing 3-period average: MOVING_AVG(m, 2, ORDER BY date). The second argument counts preceding rows; the current row is also included.
  • Top N per group: ROW_NUMBER(PARTITION BY group, ORDER BY m DESC), then filter on that calculation.

Use the schema's formatting options for ratios and percentage changes; do not multiply a fraction by 100 when using percent formatting.

Frequently asked questions

What does the Table Calculations AI skill do?

Author formula table calculations for run_metric_query, including ratios, aggregate comparisons, windows and rankings.

Why use Table Calculations on TypingMind?

Because you install it once and use it with any model. Table Calculations 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 Table Calculations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lightdash/lightdash/tree/main/packages/backend/src/ee/services/ai/skills/builtInSkills/table-calculations. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Table Calculations?

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 Table Calculations?

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

Is the Table Calculations AI skill free?

It is published on GitHub by lightdash. Check the repository for licensing terms. 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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