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 skills add confluentinc/agent-skills --skill kafka-streams-programminggit 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/kafka-streams-programming)<a href="https://agentmods.dev/skills/confluentinc/agent-skills/kafka-streams-programming"><img src="https://agentmods.dev/badge/skills/confluentinc/agent-skills/kafka-streams-programming.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 | $0.00113 | $0.03732 |
| Opus 5 | $0.00056 | $0.01866 |
| Sonnet 5 | $0.00023 | $0.00746 |
| Haiku 4.5 | $0.00011 | $0.00373 |
Grade B, and why
kafka-streams-programming scanned grade B with 2 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 7d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
If user asks for generic stream processing on CC without mentioning KS, briefly offer Flink as alternative. Don't lecture. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. `docker compose up -d` and wait for Kafka + SR to be healthy (`docker compose ps`, or curl SR `/subjects`) This is a copy
98% identical to kafka-streams-programming — 17 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.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kafka Streams — Architect, Build, Debug
JVM-embedded stream processing library with no separate cluster.
⚠️ IMPORTANT: Lazy-Load References Only
Do NOT read all reference files upfront. Read ONLY what you need, when you need it.
- User asks "how do I join two topics?" → Read
references/topology-patterns.md§ Joins Decision Tree only - User asks "build me a Kafka Streams app" → Read
references/build-templates.mdwhen writing build files, not before - User asks "my app is crashing" → Read the specific section in
references/debugging.mdfor that symptom - Most questions need 0-2 reference files total, not all 10
Never read multiple files preemptively "just in case"
Always Confirm Target Environment First
Before answering in any mode (Architect, Build, Debug), confirm the target environment if the user hasn't stated it: Apache Kafka | Confluent Platform | Confluent Cloud | WarpStream. Versions/auth shape every recommendation — KIP-1071 support, SASL config, ACL model, transactional-id expiry, CLI tool names all branch on this. Skip the question only if the user already named the environment.
If the user selects WarpStream: Read references/warpstream-optimization.md and apply its overrides on top of the standard config baseline. Key impacts for Kafka Streams:
- EOS has a significant throughput cost —
exactly_once_v2enables idempotent producers internally, which reduces throughput on WarpStream due to limited in-flight request concurrency. Default toat_least_oncewith downstream deduplication unless the user has a strong need for EOS. - Producer and consumer configs must be overridden (larger batches, higher linger, larger fetches). See the "Kafka Streams Specific" section in the shared reference.
fetch.min.bytesis not supported — do not set it.replication.factoris cosmetic (always 3) — do not tune it.- Zone-aware routing via
client.idwithws_az=<az>suffix is critical for cost. - Latency is higher (~250ms p50 produce vs single-digit ms on Kafka) — set expectations with the user.
What ships with it
16 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.
- evals/evals.json 34 KB
- references/architecture.md 6.8 KB
- references/build-templates.md 14 KB
- references/cli-commands.md 6.0 KB
- references/config-baseline.md 14 KB
- references/debugging.md 28 KB
- references/docker-compose.md 6.1 KB
- references/production-hardening.md 13 KB
- references/schema-patterns.md 11 KB
- references/topology-patterns.md 16 KB
- references/verification.md 9.1 KB
- references/warpstream-optimization.md 12 KB
- scripts/create-topics.sh 4.6 KB runs code
- scripts/produce-test-data.sh 2.3 KB runs code
- scripts/teardown.sh 3.4 KB runs code
- scripts/verify-output.sh 2.7 KB runs code
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.
- 7d ago First seen · 212 lines · 113 tokens per session scan B 5410e6297746
kafka-streams-programming is a skill published in the GitHub repository confluentinc/agent-skills (54 stars, last pushed 3d ago), licensed Apache-2.0. It adds 113 tokens to every session and 3,732 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 2 findings (strips warnings and disclaimers, makes network calls). It is 98% identical to kafka-streams-programming, differing in 17 lines, and is treated as a copy.
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