data-warehouse-experimentation SKILL.md skillA
data-warehouse-experimentation from rampstackco/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rampstackco/claude-skills/data-warehouse-experimentation@git:20260810.e5bc675Pins git:20260810.e5bc675 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rampstackco/claude-skills
- Path
skills/data-warehouse-experimentation/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260810.e5bc675, committed Aug 10, 2026
- First version recorded
- May 5, 2026
- Size
- 29,023 bytes
- Repository stars
- 1,037
- License
- MIT
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction with CUPED, sequential testing, and the operational tradeoffs vs platforms like Statsig and Optimizely. Triggers on warehouse-native experimentation, run experiments in BigQuery, run experiments in Snowflake, dbt experiments, SQL t-test, CUPED variance…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Data Warehouse Experimentation A senior data scientist's playbook for running experiments natively out of BigQuery, Snowflake, or any modern data warehouse, with metric definitions in dbt and statistical analysis in SQL or Python. Most companies that run experiments at scale use a dedicated platform. Statsig, Optimizely, LaunchDarkly with experimentation, PostHog, Amplitude Experiment. The platforms are good. They handle assignment, instrumentation, and analysis in one product, and the SQL-savvy data team does not have to reinvent the variance reduction wheel. There is a different operational model that mature data teams increasingly choose: warehouse-native experimentation. Assignment happens in code or via feature flags. Exposure events fire to the warehouse like any other event. Metrics are defined as dbt models. Statistical analysis runs as SQL or in a Python notebook against warehouse data. The "experiment platform" is just your existing data stack. …
Read the whole file at its exact version.
How to install
mdr add rampstackco/claude-skills/data-warehouse-experimentation@sha256:e3aa63517c3495fbThe line at the top of this page pins the label git:20260810.e5bc675, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_6rt5n7bbn5jpfj5a)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 5, 2026 and Aug 10, 2026, about one every 48 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260810.e5bc675 latest | 2026-08-10 | e5bc675 | 29,023 B | A | view · diff |
| git:20260507.ac2b078 | 2026-05-07 | ac2b078 | 28,400 B | A | view · diff |
| git:20260505.f3368be | 2026-05-05 | f3368be | 27,943 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (29023 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rampstackco/claude-skills · 1,037 stars · license MIT · pushed 2026-10-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6rt5n7bbn5jpfj5a GET https://markdownregistry.com/api/v1/resolve?ref=rampstackco/claude-skills/data-warehouse-experimentation GET https://markdownregistry.com/api/v1/blob/e3aa63517c3495fb8039a498927b3045ddcc23bc9dc0af5ee96d489e6f525ff0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.