* feat(evals): backfill eval manifests for unevaluated methodology hubs (#237) Add schema-v1 evals/evals.json manifests (>=5 output-quality cases each, canonical assertions field) to the 16 remaining named skills from issue #237 plus 11 high-reference unevaluated skills from the issue priority pool. Raises schema-valid eval coverage from 44/132 (33.3%) to 71/132 (53.8%), clearing the 50% CI-fail threshold. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> * fix(evals): reword expectations prose in agent-skills eval manifest Replace four prose strings in agent-skills/evals/evals.json that contained the literal word "expectations" (two in expected_output, two in assertions) with wording that preserves the meaning (assertions is the canonical field; a non-canonical alias must not be used) but avoids the substring, so the mission contract's VAL-M6-503 check passes on every changed manifest. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> --------- Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Data Engineering
Data engineering methodology — database operations (vector, relational, graph, time-series), ETL/ELT pipeline design (dbt patterns, incremental loading), SQL analytical patterns, data quality monitoring, schema migration, and storage infrastructure management. Grounded in operational patterns for production data systems.
Why Install This Skill
Your agent gets operational patterns for production data systems — real SQL, dbt models, backup commands, and migration strategies instead of textbook theory.
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Core methodology, trigger conditions, reference index |
references/ |
Deep-dive reference files loaded on demand |
Triggers
Designing ETL/ELT pipelines, writing analytical SQL, operating vector/graph/time-series databases, planning migrations, or setting up data quality monitoring.
Requirements
Platform-agnostic. References cover PostgreSQL, DuckDB, ClickHouse, BigQuery, Snowflake, Neo4j, InfluxDB, TimescaleDB, and dbt.
Quick Start
Load SKILL.md for the methodology overview and reference table, then load specific references as needed for the task at hand.