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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:

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.

ResourceTypeDifficultyVerificationScore
SQL ReviewerAgentbeginnercommunity flags34.5
Spark OptimizerAgentadvancedcommunity flags34.5
Troubleshoot a lagging group with the Kafka TroubleshooterTutorialbeginnercommunity34.15
Pipeline ReviewerAgentintermediatecommunity flags33.5
Schema ReviewerAgentintermediatecommunity flags33.5
Databricks ReviewerAgentadvancedcommunity flags33.5
Data Quality ReviewerAgentintermediatecommunity flags33
Data Catalog AssistantAgentbeginnercommunity flags30.5
Kafka TroubleshooterAgentadvancedcommunity flags30.5
Incident AssistantAgentintermediatecommunity flags30
AWS Architecture ReviewerAgentadvancedcommunity flags29
Backfill PlannerAgentadvancedcommunity flags29

1 more in the full list below.

How scores are computed: source quality score.

Where to start

Highest composite score first:

  1. SQL Reviewer score 34.5 — beginner
  2. Spark Optimizer score 34.5 — advanced
  3. 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

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

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