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.
| Resource | Type | Difficulty | Verification | Score |
|---|---|---|---|---|
| Agent Skills (open format) | Reference | — | community | 27.7 |
| Apache Airflow Documentation | Reference | — | community | 27.7 |
| Apache Arrow Documentation | Reference | — | community | 27.7 |
| Apache Kafka Documentation | Reference | — | community | 27.7 |
| Apache Parquet Format Documentation | Reference | — | community | 27.7 |
| Apache Spark Documentation | Reference | — | community | 27.7 |
| dbt Documentation | Reference | — | community | 27.7 |
| Delta Lake Documentation | Reference | — | community | 27.7 |
| DuckDB Documentation | Reference | — | community | 27.7 |
| Grafana Documentation | Reference | — | community | 27.7 |
| OpenTelemetry Documentation | Reference | — | community | 27.7 |
| PostgreSQL Documentation — Tutorial & Reference | Reference | — | community | 27.7 |
12 more in the full list below.
How scores are computed: source quality score.
Where to start
Highest composite score first:
- Agent Skills (open format) score 27.7 — difficulty not documented
- Apache Airflow Documentation score 27.7 — difficulty not documented
- 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
| Resource | Type | Score |
|---|---|---|
| Agent Skills (open format) | Reference | 27.7 |
| Apache Airflow Documentation | Reference | 27.7 |
| Apache Arrow Documentation | Reference | 27.7 |
| Apache Kafka Documentation | Reference | 27.7 |
| Apache Parquet Format Documentation | Reference | 27.7 |
| Apache Spark Documentation | Reference | 27.7 |
| dbt Documentation | Reference | 27.7 |
| Delta Lake Documentation | Reference | 27.7 |
| DuckDB Documentation | Reference | 27.7 |
| Grafana Documentation | Reference | 27.7 |
| OpenTelemetry Documentation | Reference | 27.7 |
| PostgreSQL Documentation — Tutorial & Reference | Reference | 27.7 |