data-streaming-confluent-terraform

data-streaming-confluent-terraform is a skill for Claude Code, Codex from ibm-self-serve-assets/building-blocks. It costs 64 tokens per session (7,215 once invoked), scanned A, a copy of confluent-iac-terraform, Apache-2.0.

A guide for creating real-time data-streaming systems on Confluent Cloud with Terraform, Apache Flink SQL, and Python producers. Real-time streaming moves and processes events as they happen, such as sensor readings or payments.

In plain words
What is it for?
Use it to design deployable streaming systems for areas such as IoT, finance, retail, healthcare, or logistics, including event schemas, Python data producers, Flink SQL processing, and Confluent Cloud resources.
Why use it?
It turns a streaming requirement into the infrastructure, data formats, processing logic, testing, monitoring, and documentation needed for deployment. Terraform describes cloud resources as code so setups can be repeated.

Skill for Claude CodeCodex

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

Good fit Use it to design deployable streaming systems for areas such as IoT, finance, retail, healthcare, or logistics, including event schemas, Python data producers, Flink SQL processing, and Confluent Cloud resources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ibm-self-serve-assets/building-blocks/data-streaming-confluent-terraform
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 ibm-self-serve-assets/building-blocks --skill data-streaming-confluent-terraform
Clone the repo
git clone --depth 1 https://github.com/ibm-self-serve-assets/building-blocks

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-streaming-confluent-terraform

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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/ibm-self-serve-assets/building-blocks/data-streaming-confluent-terraform"><img src="https://agentmods.dev/badge/skills/ibm-self-serve-assets/building-blocks/data-streaming-confluent-terraform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,215 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 97% copy Near-identical to another mod 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 $0.00064 $0.07215
Opus 5.5 $0.00026 $0.02886
Sonnet 5.5 $0.00013 $0.01443
Haiku 4.5 $0.00006 $0.00722

Measured 2mo ago against content hash 338e3ff77633, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-streaming-confluent-terraform 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 2mo 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.

Origin

This is a copy

97% identical to confluent-iac-terraform — 472 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ibm-bob/skills/data-streaming-confluent-terraform/SKILL.md · 914 lines

How it starts

The opening of the file, as written. The whole thing — 914 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Confluent Cloud Streaming System Builder

Purpose

This skill defines the process for analyzing streaming use case requirements and generating complete, production-ready streaming systems on Confluent Cloud that include:

  • Terraform Infrastructure-as-Code for Confluent Cloud resources
  • Apache Flink SQL for real-time stream processing
  • Python producers with proper schema serialization
  • Comprehensive documentation and testing approaches

Objective

Transform natural language streaming requirements into deployable streaming systems that:

  • Can be deployed to Confluent Cloud with minimal configuration
  • Follow Infrastructure-as-Code best practices
  • Implement correct Flink SQL patterns for stream processing
  • Include production-ready error handling and monitoring
  • Provide clear documentation for reproduction
  • Adapt to any streaming domain while maintaining technical correctness

Documentation Principles

IMPORTANT: Generate specifications based on user requirements and streaming best practices.

Rules:

  • Analyze the user's domain and infer appropriate streaming patterns
  • Design schemas that match the business entities and events
  • Select aggregation patterns based on use case requirements
  • Generate complete, working code without placeholders
  • Include all critical technical requirements (versions, formats, RBAC)
  • Provide realistic sample data for the domain
  • Document testing approaches with specific queries
  • State assumptions clearly when inferring requirements

Scope

This skill applies to:

  • Real-time data streaming use cases
  • Event-driven architectures
  • Stream processing and aggregation
  • IoT sensor data processing
  • Financial transaction processing
  • Retail inventory management
  • Healthcare vitals monitoring
  • Logistics tracking systems
  • Any domain requiring real-time data processing

The output is a complete streaming system with Terraform, Flink SQL, Python, and documentation.


Procedure

You are a Confluent Cloud streaming architect specializing in Infrastructure-as-Code and real-time data processing. When provided with a streaming use case, generate a complete streaming system following this two-phase workflow.

Read the full file on GitHub · 914 lines

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. 2mo ago First seen · 914 lines · 64 tokens per session scan A 338e3ff77633

Subscribe to this mod's changes

data-streaming-confluent-terraform is a skill published in the GitHub repository ibm-self-serve-assets/building-blocks (28 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 7,215 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to confluent-iac-terraform, differing in 472 lines, and is treated as a copy.

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