Treasure Data
Official@treasure-data · Mountain View, CA
Most companies say they love open source. We also LIVE it.
Agent Skills by Treasure Data
Showing 33 vetted skills indexed across 1 GitHub repositories.
treasure-datatime-filtering
Apply td_interval patterns to time columns for time-based SQL filtering.
treasure-dataaps-doc-id-unification
Generate documentation for ID unification workflows from .dig and .yml files.
treasure-dataagent
Manage LLM agent lifecycles with YAML/Markdown configurations and tool integrations.
treasure-datasegment
Manage CDP child segments with YAML rules and tdx sg commands.
treasure-datajourney
Create CDP journey definitions in YAML using tdx journey commands.
treasure-dataaps-doc-core
Generate production-ready documentation from codebase for Treasure Data pipeline layers.
treasure-datatdx-basic
Execute Treasure Data tdx CLI operations for databases, tables, and queries.
treasure-dataaps-doc-golden
Document golden layer tables with SCD types, business rules, and data quality scoring.
treasure-dataaps-doc-staging
Document Presto/Trino and Hive staging transformations with SQL examples.
treasure-dataagent-prompt
Generate structured system prompts for Treasure Data AI agents.
treasure-dataidentity
Query id_changes logs to track identity stitching events and reconstruct profile histories.
treasure-dataaps-doc-ingestion
Generate ingestion documentation for REST API, database, file, and streaming connectors.
treasure-dataaps-doc-master-segment
Extract CDP Master Segment schema data and generate Markdown documentation.
treasure-dataaps-doc-hist-union
Generate hist-union documentation with SQL examples from codebase configurations.
treasure-datavalidate-journey
Validate Journey YAML definitions against Treasure Data schema constraints.
treasure-datavalidate-segment
Validate segment YAML configurations against the TD CDP API specification.
treasure-dataconnector-config
Generate connector_config for activations using tdx connection schema fields.
treasure-dataactivations
Query Treasure Data activation logs to detect delivery errors.
treasure-datafield-agent-deployment
Manage Field Agent deployment and release workflows across environments.
treasure-datafield-agent-visualization
Generate executive-ready Plotly charts with Treasure Data color palettes and strict JSON structure.
treasure-datafield-agent-documentation
Create standardized Markdown documentation for Field Agents with sections 1-13.
treasure-datatemplate-skill
Generate precise, high-density query text for vector-based retrieval.
treasure-datadbt
Configure dbt models for Treasure Data Trino with API-key authentication.
treasure-dataworkflow-management
Manage and troubleshoot Treasure Data workflow runs with Digdag pipelines.
Frequently Asked Questions About Treasure Data
FAQPage SchemaWhat specific data tasks can be performed using these capabilities?▼
Users can execute high-density SQL queries against Trino and Hive, manage CDP segments, perform identity stitching to reconstruct profile histories, and validate YAML-based journey definitions against schema constraints to ensure data integrity.
Which technical personas benefit most from these resources?▼
Data engineers, database administrators, and analytics architects working within enterprise environments benefit most. These resources are designed for professionals managing complex data pipelines, SQL performance tuning, and customer data platform configurations.
What are the primary prerequisites for implementing these data operations?▼
Implementation requires access to the Treasure Data environment, configured authentication credentials, and familiarity with Digdag for orchestration. Users must also maintain valid YAML configurations for segments and journeys to comply with internal schema constraints.