MetricFlow Ingest

MetricFlow Ingest is a Data skill for Claude Code, published by Kaelio in ktx.

1.5K stars99 forkson Kaelio/ktxAdded 2026/08/19+1% in starsRepository updated 2026/07/19

agentagent-skillsagentsai-agentai-agentsanalyticsanalytics-engineeringbusiness-intelligenceclaudeclaude-codeclaude-skillscodexcontext-layerdata-analysisdata-engineeringllmmcpmemorysemantic-layerskills

Install in seconds

Install MetricFlow Ingest

Copy MetricFlow Ingest into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Kaelio/ktx/tree/main/packages/cli/src/skills/metricflow_ingest ~/.claude/skills/metricflow_ingest

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Kaelio/ktx.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: packages/cli/src/skills/metricflow_ingest/SKILL.md in Kaelio/ktx
Installs to: ~/.claude/skills/metricflow_ingest
Collection: One of 17 skills cataloged from this repository
Category: Data — 668 skills

What MetricFlow Ingest does

MetricFlow Ingest maps MetricFlow semantic_models and metrics into ktx semantic layer sources, flattening inheritance and translating metric types like derived, ratio, cumulative, and conversion. Use it when working with .yml/.yaml files containing top-level semantic_models or metrics.

MetricFlow Ingest is cataloged under Data on DirSkills. MetricFlow Ingest comes from a repository tagged agent, agent-skills, agents, ai-agent and ai-agents.

Documentation

README

Excerpt

MetricFlow to ktx Semantic Layer

A MetricFlow semantic_model maps to an SL source; MetricFlow measures map to ktx measures; MetricFlow entities map to ktx joins; MetricFlow metrics (top-level) map to ktx measures OR to cross-model derived measures. Files in one WorkUnit are ALWAYS part of the same logical entity (a connected component, possibly spanning extends: + cross-model metric refs). Flatten inheritance and cross-file references at write time.

Mapping table

This is the opening of the README. Read the full README on GitHub.

Frequently asked about MetricFlow Ingest

What else does Kaelio publish alongside MetricFlow Ingest?
MetricFlow Ingest is one of 17 skills that DirSkills catalogs from Kaelio/ktx, the repository it ships in. Its siblings there include Google Drive Doc Synthesis, Historic SQL Patterns and Historic SQL Table Digest. Each one is a separate skill with its own page in this directory, installs the same way MetricFlow Ingest does, and is maintained by Kaelio in that same repository. The rest of the collection is listed on the Kaelio/ktx page.
How does MetricFlow Ingest compare to other Data skills?
MetricFlow Ingest ranks #381 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of MetricFlow Ingest against them. Open each page to compare what they document and how they install.