DE//AGENT
Explore

Learn

docs

24 registry resources · 24 references · roadmap: Agentic Data Engineering, Orchestration, Foundations, Streaming, Data Processing, Cloud, Observability, Warehousing, Lakehouse, Python + SQL, Data Quality

What this topic covers

DE//AGENT currently lists 24 resources under docs: 24 references. 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

Learning objectives are not yet documented for these records — curation adds them evidence-first. What the entries cover today, from their own summaries:

  • The Agent Skills format specification — a SKILL.md file with front-matter (name, description, version), plus references/, scripts/, and examples/ directories that an agent loads on demand. The format this platform's Skill object is modelled on — portable across compatible agents. Covers the SKILL.md schema, the directory layout convention, and the agent loading protocol. Agent Skills (open format)
  • Airflow's documentation — DAG authoring, scheduling semantics and timetables, backfills and catchup, task state and retries, dynamic task mapping, and best practices. The scheduling and best-practices pages answer the idempotency and backfill questions our orchestration skills only sketch; read them before designing any recurring pipeline. Apache Airflow Documentation
  • Official Arrow docs: the columnar in-memory format, its language bindings, IPC and Flight protocols, and zero-copy interchange between systems. Use it for exact memory-layout and type-system semantics behind every "columnar" claim in the registry. Apache Arrow Documentation
  • Kafka's official documentation — architecture and design, delivery semantics, the protocol, consumer groups and offsets, operations, and security. The design section explains why ordering and partitions behave the way they do; the operations section companions our lag-triage skill and consumer-lag runbook when a group falls behind. Apache Kafka Documentation
  • The Parquet file format documentation: page structure, encodings, compression codecs, statistics and the predicate-pushdown behavior that columnar readers rely on. The ground truth for why columnar files scan less data and how row-group pruning works. Apache Parquet Format Documentation

Where this fits in the learning roadmap

These resources map to stages: Agentic Data Engineering (1), Orchestration (1), Foundations (4), Streaming (2), Data Processing (2), Cloud (4), Observability (5), Warehousing (1), Lakehouse (1), Python + SQL (2), Data Quality (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
Agent Skills (open format)Reference—community27.7
Apache Airflow DocumentationReference—community27.7
Apache Arrow DocumentationReference—community27.7
Apache Kafka DocumentationReference—community27.7
Apache Parquet Format DocumentationReference—community27.7
Apache Spark DocumentationReference—community27.7
dbt DocumentationReference—community27.7
Delta Lake DocumentationReference—community27.7
DuckDB DocumentationReference—community27.7
Grafana DocumentationReference—community27.7
OpenTelemetry DocumentationReference—community27.7
PostgreSQL Documentation — Tutorial & ReferenceReference—community27.7

12 more in the full list below.

How scores are computed: source quality score.

Where to start

Highest composite score first:

  1. Agent Skills (open format) score 27.7 — difficulty not documented
  2. Apache Airflow Documentation score 27.7 — difficulty not documented
  3. Apache Arrow Documentation score 27.7 — difficulty not documented

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Production use cases

  • Agent Skills (open format) — The Agent Skills format specification — a SKILL.md file with front-matter (name, description, version), plus references/, scripts/, and examples/ directories that an agent loads on… details
  • Apache Airflow Documentation — Airflow's documentation — DAG authoring, scheduling semantics and timetables, backfills and catchup, task state and retries, dynamic task mapping, and best practices. The schedulin… details
  • Apache Arrow Documentation — Official Arrow docs: the columnar in-memory format, its language bindings, IPC and Flight protocols, and zero-copy interchange between systems. Use it for exact memory-layout and t… details
  • Apache Kafka Documentation — Kafka's official documentation — architecture and design, delivery semantics, the protocol, consumer groups and offsets, operations, and security. The design section explains why o… details

Further study

Adjacent topics: official (13 shared), lakehouse (2 shared), lineage (2 shared), catalog (2 shared), spec (2 shared), formats (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

← All topics