data-engineering
195
courtlistener-api
Legal case law database with PACER data and judge profiles
wentorai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-engineering
195
dataverse-api
Deposit and discover research datasets via Harvard Dataverse API
wentorai
data-ai
data-engineering
195
data-collection-automation
Automate survey deployment, data collection, and pipeline management
wentorai
data-ai
data-engineering
194
ops-telemetry-query
Internal — for Boundless team members only. Query Boundless broker telemetry tables on Redshift for prod/staging operational data. Use when the user asks about broker health, request evaluations, request completions, proving times, skip rates, telemetry data, or wants to run SQL against the telemetry database on live networks. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
boundless-xyz
data-ai
data-engineering
188
azure-kusto
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
jonathan-vella
data-ai
data-engineering
188
workflow-engine
Machine-readable workflow DAG for the multi-step agent pipeline. Defines node types, edge conditions, gates, and fan-out patterns. USE FOR: Orchestrator step routing, resume-from-graph, workflow validation. DO NOT USE FOR: Azure infrastructure, code generation, troubleshooting.
jonathan-vella
data-ai
data-engineering
186
lambda-migration
Guides Phase 2 Lambda Container Migration steps. Pass a specific step number (2-1 through 2-5) to get the goals, deliverables, validation criteria, and detailed design for that step.
serithemage
data-ai
data-engineering
185
acuantia-dataform
Use when working on Acuantia's BigQuery Dataform pipeline (acuantia-gcp-dataform project) - adds Acuantia-specific patterns on top of dataform-engineering-fundamentals: ODS two-arg ref() syntax, looker_ filename prefix, Looker integration (looker_prod/looker_dev), acuantia dataset conventions, coordination with callrail_data_export/dialpad_data_integration/looker projects
majiayu000
data-ai
data-engineering
185
aether-temporal-collective
Distributed evolutionary memory system using Merkle-DAG branching timelines, holographic erasure coding, and stake-weighted consensus to maintain coherent collective history across thousands of agents despite forking narratives and temporal relativity.
majiayu000
data-ai
data-engineering
185
airflow-etl
Generate Apache Airflow ETL pipelines for government websites and document sources. Explores websites to find downloadable documents, verifies commercial use licenses, and creates complete Airflow DAG assets with daily scheduling. Use when user wants to create ETL pipelines, scrape government documents, or automate document collection workflows.
majiayu000
data-ai
data-engineering
185
airtable-model
PM Airtable data model reference. Use when creating tables, querying structure, or understanding relationships between Domain, Subdomain, Capability, Entity, Requirement, and BacklogItem tables.
majiayu000
data-ai
data-engineering
185
apache-spark-data-processing
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
majiayu000
data-ai
data-engineering
185
aps-doc-ingestion
Expert documentation generation for ingestion layers. Automatically detects connector types (REST API, Database, File, Streaming), documents authentication patterns, rate limiting strategies, and incremental load patterns. Use when documenting data source ingestion workflows.
majiayu000
data-ai
data-engineering
185
aps-doc-staging
Expert documentation generation for staging transformation layers. Auto-detects SQL engine (Presto/Trino vs Hive), documents transformation rules, PII handling, deduplication strategies, and data quality rules. Use when documenting staging transformations.
majiayu000
data-ai
data-engineering
185
atft-pipeline
Manage J-Quants ingestion, feature graph generation, and cache hygiene for the ATFT-GAT-FAN dataset pipeline.
majiayu000
data-ai
data-engineering
185
backend-models-standards
Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
majiayu000
data-ai
data-engineering
185
batch-execution-validator
Validate production batch execution - trigger daily runs and analyze traces for architecture completeness and result quality
majiayu000
data-ai
data-engineering
185
batch-processing-jobs
Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.
majiayu000
data-ai
data-engineering
185
bigquery-expert
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management
majiayu000
data-ai