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agent
13 registry resources · 12 agents, 1 tutorial · roadmap: Streaming, Observability, Python + SQL, Data Quality, Reliability, Orchestration, Cloud, Data Processing
What this topic covers
DE//AGENT currently lists 13 resources under agent: 12 agents, 1 tutorial. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.
What you can learn here
Documented learning objectives across these resources:
- Feed an incident agent the inputs it needs — group describe, offsets, logs — via Troubleshoot a lagging group with the Kafka Troubleshooter
- Follow a diagnosis, evidence, fix, prevention loop — via Troubleshoot a lagging group with the Kafka Troubleshooter
- Keep destructive shortcuts like offset resets off the table — via Troubleshoot a lagging group with the Kafka Troubleshooter
Where this fits in the learning roadmap
These resources map to stages: Streaming (2), Observability (1), Python + SQL (1), Data Quality (2), Reliability (2), Orchestration (2), Cloud (2), Data Processing (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.
Compare the registry's options
Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.
| Resource | Type | Difficulty | Verification | Score |
|---|---|---|---|---|
| SQL Reviewer | Agent | beginner | community flags | 34.5 |
| Spark Optimizer | Agent | advanced | community flags | 34.5 |
| Troubleshoot a lagging group with the Kafka Troubleshooter | Tutorial | beginner | community | 34.15 |
| Pipeline Reviewer | Agent | intermediate | community flags | 33.5 |
| Schema Reviewer | Agent | intermediate | community flags | 33.5 |
| Databricks Reviewer | Agent | advanced | community flags | 33.5 |
| Data Quality Reviewer | Agent | intermediate | community flags | 33 |
| Data Catalog Assistant | Agent | beginner | community flags | 30.5 |
| Kafka Troubleshooter | Agent | advanced | community flags | 30.5 |
| Incident Assistant | Agent | intermediate | community flags | 30 |
| AWS Architecture Reviewer | Agent | advanced | community flags | 29 |
| Backfill Planner | Agent | advanced | community flags | 29 |
1 more in the full list below.
How scores are computed: source quality score.
Where to start
Highest composite score first:
- SQL Reviewer score 34.5 — beginner
- Spark Optimizer score 34.5 — advanced
- Troubleshoot a lagging group with the Kafka Troubleshooter score 34.15 — beginner
Scores rank provenance, completeness and trust — read how verification works before adopting anything.
Good fits
Start here if you're new: SQL Reviewer, Troubleshoot a lagging group with the Kafka Troubleshooter, Data Catalog Assistant.
Reach for these with production experience: Spark Optimizer, Databricks Reviewer, Kafka Troubleshooter.
Cautions and limitations
Security-flagged entries: SQL Reviewer (1 flag), Spark Optimizer (1 flag), Pipeline Reviewer (1 flag), Schema Reviewer (1 flag), Databricks Reviewer (1 flag), Data Quality Reviewer (2 flags), Data Catalog Assistant (2 flags), Kafka Troubleshooter (2 flags), Incident Assistant (3 flags), AWS Architecture Reviewer (3 flags), Backfill Planner (3 flags), Cost Optimizer (5 flags). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.
Production use cases
- SQL Reviewer — Review SQL before it merges, catching correctness bugs and fan-out joins. details
- Spark Optimizer — Diagnose and fix slow or expensive Spark jobs from their metrics. details
- Troubleshoot a lagging group with the Kafka Troubleshooter — Hand the Kafka Troubleshooter agent the consumer-group describe output, per-partition offsets, and consumer logs, then follow its four-step workflow from lag trend to the least des… details
- Pipeline Reviewer — Review a DAG or pipeline for idempotency, retries and backfill safety. details
Further study
Adjacent topics: cost (2 shared), review (2 shared), performance (2 shared), lag (2 shared), incidents (2 shared).
Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.
Full resource list
| Resource | Type | Score |
|---|---|---|
| SQL Reviewer | Agent | 34.5 |
| Spark Optimizer | Agent | 34.5 |
| Troubleshoot a lagging group with the Kafka Troubleshooter | Tutorial | 34.15 |
| Pipeline Reviewer | Agent | 33.5 |
| Schema Reviewer | Agent | 33.5 |
| Databricks Reviewer | Agent | 33.5 |
| Data Quality Reviewer | Agent | 33 |
| Data Catalog Assistant | Agent | 30.5 |
| Kafka Troubleshooter | Agent | 30.5 |
| Incident Assistant | Agent | 30 |
| AWS Architecture Reviewer | Agent | 29 |
| Backfill Planner | Agent | 29 |