AI Agent Skills by Confluent is a collection of skills for building Kafka producers, Flink applications, and real-time data-streaming pipelines. Developers use it with coding assistants when creating applications and pipelines on Confluent. The catalogue entries are its skills, plugin, and instruction.
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.
npx agentmods add skills/confluentinc/agent-skills/confluent-cloud-cdc-tableflownpx skills add confluentinc/agent-skills --skill confluent-cloud-cdc-tableflowgit clone --depth 1 https://github.com/confluentinc/agent-skillsWrote 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.
[](https://agentmods.dev/skills/confluentinc/agent-skills/confluent-cloud-cdc-tableflow)<a href="https://agentmods.dev/skills/confluentinc/agent-skills/confluent-cloud-cdc-tableflow"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/confluent-cloud-cdc-tableflow.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00203 | $0.06309 |
| Opus 5 | $0.00102 | $0.03155 |
| Sonnet 5 | $0.00041 | $0.01262 |
| Haiku 4.5 | $0.00020 | $0.00631 |
Grade A, and why
confluent-cloud-cdc-tableflow 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 523 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confluent Cloud CDC to Tableflow Pipeline
Build production-ready Change Data Capture pipelines that stream database changes through Confluent Cloud to Iceberg or Delta Lake tables using Debezium, Flink, and Tableflow.
Overview
This skill automates the setup of a complete CDC pipeline:
Database → Debezium CDC Connector → Kafka + Schema Registry → Flink (decode & transform) → Tableflow → Iceberg/Delta Tables
Supported Databases (Fully-Managed Debezium Connectors Only)
- Microsoft SQL Server CDC Source V2
- MySQL CDC Source V2
- PostgreSQL CDC Source V2
- Oracle XStream CDC Source
- DynamoDB CDC Source
Key Components
- Debezium CDC Source Connector: Captures database changes as events
- Schema Registry: Manages Avro/JSON/Protobuf schemas (default: JSON_SR)
- Confluent Cloud Flink: Decodes Debezium envelopes and transforms data
- Tableflow: Native Confluent Cloud feature that materializes Kafka topics as Iceberg or Delta tables
Critical Architecture Rules
1. NEVER enable Tableflow directly on CDC source topics.
Always use the Flink decode pattern: CDC Source Topic → Flink INSERT → Target Topic (changelog.mode = 'upsert') → Tableflow.
CDC connectors with tombstones.on.delete=true produce null-value Kafka records (tombstones) on DELETE operations. If Tableflow is enabled directly on the CDC source topic, it will use APPEND mode by default and immediately suspend when it encounters a tombstone: "Tableflow will be suspended because we detected a Kafka record with a null value."
The Flink decode layer solves this by interpreting Debezium CDC semantics natively — it translates DELETEs into proper retract/tombstone messages that upsert-mode Tableflow handles correctly.
Do NOT use after.state.only=true as a shortcut to bypass the Flink decode step. While it strips the Debezium envelope, tombstone records from DELETEs still break APPEND-mode Tableflow. Additionally, OracleXStreamSource does not support the after.state.only configuration option at all.
What ships with it
6 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.
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.
- 6d ago First seen · 523 lines · 203 tokens per session scan A 2b3ac196cee8
confluent-cloud-cdc-tableflow is a skill published in the GitHub repository confluentinc/agent-skills (54 stars, last pushed 2d ago), licensed Apache-2.0. It adds 203 tokens to every session and 6,309 once invoked, about $0.0010 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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