data-warehouse-integration

data-warehouse-integration is a skill for Claude Code, Codex from sandeepmvl/rails-skills. It costs 150 tokens per session (2,371 once invoked), scanned A, original, MIT.

A guide to copying Rails application data from PostgreSQL, a database built for day-to-day transactions, into an analytics warehouse such as Snowflake, BigQuery, or Redshift. It also covers transforming that data and sending selected results back to operational tools.

In plain words
What is it for?
Use it to plan ingestion with tools such as Fivetran, Airbyte, or Debezium; transform data with dbt; build analytics tables; send insights to tools such as Salesforce or HubSpot; and reduce exposure of personal data.
Why use it?
It keeps heavy reporting queries away from the production database, where they could slow customer-facing work. It also provides a structured way to clean, test, and organize data for analysis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan ingestion with tools such as Fivetran, Airbyte, or Debezium; transform data with dbt; build analytics tables; send insights to tools such as Salesforce or HubSpot; and reduce exposure of personal data.

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Install with agentmods
npx agentmods add skills/sandeepmvl/rails-skills/54-data-warehouse-integration
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sandeepmvl/rails-skills --skill 54-data-warehouse-integration
Clone the repo
git clone --depth 1 https://github.com/sandeepmvl/rails-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-warehouse-integration

README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for data-warehouse-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/54-data-warehouse-integration"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/54-data-warehouse-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,371 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00150 $0.02371
Opus 5 $0.00075 $0.01185
Sonnet 5 $0.00030 $0.00474
Haiku 4.5 $0.00015 $0.00237

Measured 11d ago against content hash b7ab642ac855, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

data-warehouse-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/54-data-warehouse-integration/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Warehouse Integration

The Rails Postgres is OLTP — optimized for "fetch one row by ID" + transactional writes. Analytics ("revenue by region by month, with seasonal adjustment") is a different problem. Don't run heavy analytics SQL on production. Replicate to a warehouse.

The opinion

ELT, not ETL: load raw rows to the warehouse, transform there. Use a managed ingestion tool (Fivetran / Airbyte) over hand-rolling sync. Use dbt for transformations and tests. Use reverse-ETL (Hightouch / Census) to push insights back into ops tools. Keep PII out of the warehouse where you can — pseudonymise during ingestion. Use a separate analytics replica for ad-hoc queries to avoid taxing production.

Architecture

[Rails Postgres OLTP]
       │
       │ ingestion (Fivetran / Airbyte / Debezium)
       ▼
[Warehouse raw schema]      ← raw tables, near 1:1 with source
       │
       │ dbt transformations
       ▼
[Warehouse staging]         ← cleaned, typed, de-duped
       │
       │ dbt
       ▼
[Warehouse marts]           ← business-aligned, dimensional
       │
       │ reverse-ETL (Hightouch / Census)
       ▼
[Ops tools]                 ← Salesforce, HubSpot, Customer.io, Slack

Pattern 1: Pick the ingestion tool

Tool When
Fivetran Managed, pay-per-row. Many sources. Default for fast time-to-value.
Airbyte Open-source. Self-host or cloud. Pay-per-volume.
Stitch Mature, simpler than Fivetran. Talend owns it.
Hightouch / Census Pipelines Both also do ingestion, but stronger on reverse-ETL.
Debezium CDC + Kafka Connect Most flexible. Most operational cost. See cdc-debezium-rails.
Custom Sidekiq job Don't. You'll regret it within 3 months.

For most Rails shops: Fivetran or Airbyte until volume hits ~$5k/month, then evaluate Debezium for cost savings.

Pattern 2: Source connector setup (Fivetran example)

  1. Create a read-only Postgres user for Fivetran.
  2. Enable logical replication (see cdc-debezium-rails — same Postgres setup).
  3. In Fivetran UI: add Postgres source → pick schema → pick tables.
  4. Set sync frequency: 5 min for "near real time," 1 hour for typical analytics.

Read the full file on GitHub · 259 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 259 lines · 150 tokens per session scan A b7ab642ac855

Subscribe to this mod's changes

data-warehouse-integration is a skill published in the GitHub repository sandeepmvl/rails-skills (21 stars, last pushed 3mo ago), licensed MIT. It adds 150 tokens to every session and 2,371 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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