data-pipelines

data-pipelines is a skill for Claude Code, Codex from excalimate/excalimate. It costs 76 tokens per session (2,669 once invoked), scanned A, original, MIT.

A diagram-making tool for showing how data moves through sources, processing steps, queues, and destinations. It creates animated data pipeline and ETL diagrams, where ETL means extracting, changing, and loading data.

In plain words
What is it for?
Use it to map data warehouses, streaming systems such as Kafka, machine-learning pipelines, and other data transformation workflows.
Why use it?
It makes complicated data movement easier to understand than a written description or scattered boxes. The animation can reveal the flow from start to finish.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/excalimate/excalimate/data-pipelines
Any agent
npx skills add excalimate/excalimate --skill data-pipelines
Clone the repo
git clone --depth 1 https://github.com/excalimate/excalimate

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-pipelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/excalimate/excalimate/data-pipelines.svg)](https://agentmods.dev/skills/excalimate/excalimate/data-pipelines)
Your own site
<a href="https://agentmods.dev/skills/excalimate/excalimate/data-pipelines"><img src="https://agentmods.dev/badge/skills/excalimate/excalimate/data-pipelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00076 $0.02669
Opus 5 $0.00038 $0.01334
Sonnet 5 $0.00015 $0.00534
Haiku 4.5 $0.00008 $0.00267

Measured 4d ago against content hash b79bc3e38138, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-pipelines 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 4d 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/data-pipelines/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Pipelines Agent Skill

This skill specializes in creating animated data pipeline and ETL flow diagrams using the Excalimate MCP server.

When to Use

Use this skill when users ask to visualize:

  • Data pipelines and ETL/ELT processes
  • Streaming architectures (Kafka, RabbitMQ, SQS)
  • Data warehousing flows
  • ML pipelines and data science workflows
  • Event streaming topologies
  • Data transformation workflows
  • Any scenario involving "data flow" or "how the data moves"

Workflow

  1. Identify Components: Sources, transforms, sinks, queues, routers
  2. Choose Topology: Linear pipeline, fan-out, fan-in, diamond, or streaming
  3. Layout Left-to-Right: Sources → Processing → Sinks with 350px stage separation
  4. Color-Code by Role: Green sources, blue transforms, purple sinks, etc.
  5. Animate Left-to-Right: Stage-by-stage reveal from sources to sinks

Components

All components use consistent sizing and include boundElements for labels:

Data Source (Green)

{
  "type": "rectangle",
  "width": 160,
  "height": 70,
  "strokeColor": "#2f9e44",
  "backgroundColor": "#b2f2bb",
  "boundElements": [{"id": "label-id", "type": "text"}]
}

Transform (Blue)

{
  "type": "rectangle", 
  "width": 180,
  "height": 80,
  "strokeColor": "#1971c2",
  "backgroundColor": "#a5d8ff",
  "boundElements": [{"id": "label-id", "type": "text"}]
}

Sink (Purple)

{
  "type": "rectangle",
  "width": 160, 
  "height": 70,
  "strokeColor": "#6741d9",
  "backgroundColor": "#d0bfff",
  "boundElements": [{"id": "label-id", "type": "text"}]
}

Queue/Stream (Orange)

{
  "type": "rectangle",
  "width": 200,
  "height": 50, 
  "strokeColor": "#f08c00",
  "backgroundColor": "#ffec99",
  "boundElements": [{"id": "label-id", "type": "text"}]
}

Router (Teal Diamond)

{
  "type": "diamond",
  "width": 140,
  "height": 120,
  "strokeColor": "#0c8599", 
  "backgroundColor": "#99e9f2",
  "boundElements": [{"id": "label-id", "type": "text"}]
}

Read the full file on GitHub · 311 lines

Files

What ships with it

3 files 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. 4d ago First seen · 311 lines · 76 tokens per session scan A b79bc3e38138

Subscribe to this mod's changes

data-pipelines is a skill published in the GitHub repository excalimate/excalimate (63 stars, last pushed 22d ago), licensed MIT. It adds 76 tokens to every session and 2,669 once invoked, about $0.0004 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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