treasure-data
@treasure-data Organization
Public Skills
email-campaign
by treasure-data
This skill should be used when the user asks to "create an email", "build an email campaign", "design an email template", "generate an email for a segment", "preview an email", or "push an email to Engage". Generates enterprise-grade HTML email templates with live preview in Treasure Studio and natural language editing, then pushes the final version to Treasure Engage.
rt-config
by treasure-data
Configure RT 2.0 (Real-Time Personalization) for parent segments including event tables, key events, RT attributes, and ID stitching using tdx ps rt commands or API
rt-journey-create
by treasure-data
Create RT 2.0 Journeys (event-triggered) that activate when specific events occur, sending real-time data to external systems
rt-config-events
by treasure-data
Configure RT 2.0 event tables and key events - define which streaming events to track and filter for real-time processing
rt-config-id-stitching
by treasure-data
Configure RT 2.0 ID stitching - merge real-time profiles across different identifiers using stitching keys and primary keys
rt-triggers
by treasure-data
Create RT 2.0 Journeys (Real-Time Triggers) that activate in real-time when specific events occur, triggering activations to external systems via API
validate-journey
by treasure-data
Validates CDP journey YAML configurations against tdx schema requirements. Use when reviewing journey structure, checking step types and parameters, verifying segment references, or troubleshooting journey configuration errors before pushing to Treasure Data.
agent-prompt
by treasure-data
Write effective system prompts for TD AI agents. Covers role definition, constraint specification, output formatting, tool usage instructions, and prompt structure patterns.
trino-optimizer
by treasure-data
TD Trino performance optimization including CTAS (5x faster), UDP bucketing for ID lookups, magic comments for join distribution, REGEXP_LIKE vs LIKE, and approx functions.
aps-doc-core
by treasure-data
Core documentation generation patterns and framework for Treasure Data pipeline layers. Provides shared templates, quality validation, testing framework, and Confluence integration used by all layer-specific documentation skills.
aps-doc-golden
by treasure-data
Expert documentation generation for golden layers. Detects SCD types, documents business rules, metric definitions, aggregation logic, and data quality scoring. Use when documenting golden layer tables.
aps-doc-id-unification
by treasure-data
Expert documentation generation for ID unification layers. Documents identity resolution algorithms, merge strategies, match rules, entity graphs, and multi-workflow orchestration. Use when documenting ID unification processes.
aps-doc-master-segment
by treasure-data
Expert documentation generation for CDP Master Segment (Parent Segment) configurations. Analyzes master segment tables using TD MCP, extracts attribute and behavior schemas, documents star schema relationships, and creates comprehensive segment documentation. Use when documenting CDP parent segments.
aps-doc-staging
by treasure-data
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.
field-agent-deployment
by treasure-data
Best practices for developing, testing, and deploying production-ready Field Agents including R&D workflows, version control, testing strategies, and release management
pytd
by treasure-data
Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.
journey
by treasure-data
Creates CDP journey definitions in YAML using tdx journey commands. Covers journey stages, steps (wait, activation, decision_point, ab_test, merge, jump, end), entry/exit criteria, goals, embedded segments, and versioning. Use when building customer journey orchestration workflows or managing journey YAML files.
segment
by treasure-data
Manages CDP child segments using tdx sg commands with YAML rule configs. Covers filtering with operators (Equal, In, Greater, TimeWithinPast, Contain), folder organization, and activations for Salesforce/Google Ads exports. Use when creating audience segments, validating with tdx sg push --dry-run, or listing fields with tdx sg fields.
validate-segment
by treasure-data
Validates CDP segment YAML configurations against the TD CDP API specification. Use when reviewing segment rules for correctness, checking operator types and values, or troubleshooting segment configuration errors before pushing to Treasure Data.
rt-personalization-validation
by treasure-data
Validates RT Personalization Entity payloads before creation to prevent common API errors. MUST be invoked proactively during rt-setup-personalization workflow at Step 9c before making the entity creation API call. Also use when encountering "Attribute payload can't be blank" errors or when reviewing personalization entity JSON.
rt-setup-personalization
by treasure-data
Complete workflow to set up RT 2.0 personalization from scratch - validates parent segment RT status, discovers event tables and attributes, configures RT infrastructure (events, attributes, ID stitching), creates personalization service, and deploys the personalization entity with payload. Use when user wants to "create realtime setup and build personalization" or "set up RT personalization end-to-end". Includes automatic validation using rt-personalization-validation skill to prevent common API errors.
rt-personalization
by treasure-data
Create RT 2.0 Personalization services AND entities that return real-time personalized API responses. Creates both the service configuration (via tdx ps pz) and the actual Personalization entity (via API) with payload definition. Use after RT configuration is complete when user wants to "create RT personalization" or "build personalization API".
rt-setup-triggers
by treasure-data
Complete workflow to set up RT 2.0 triggers (RT journeys) from scratch - validates parent segment RT status, discovers event tables and attributes, configures RT infrastructure (events, attributes, ID stitching), creates RT journey with activations. Use when user wants to "create realtime triggers" or "set up RT journey end-to-end".
data-dictionary
by treasure-data
Automate update and maintenance of data dictionaries in Treasure Data - generates 80-90% of column descriptions automatically, allowing users to review results, make changes, and fill in gaps. Orchestrates schema extraction, AI-powered description generation, human review, and write-back as single workflow.
schema-auto-tagger
by treasure-data
Automated schema tagging and resource classification for Treasure Data. Detects new tables/columns, analyzes metadata patterns, and suggests appropriate policy tags with confidence scoring. Reduces manual tagging effort by 80% while maintaining compliance standards (GDPR, CCPA, HIPAA, SOX).
rt-config-setup
by treasure-data
Initial RT 2.0 setup - check enablement status, initialize configuration, and verify prerequisites for parent segments
rt-journey-activations
by treasure-data
Configure RT journey activations - webhooks, Salesforce, email, and other integrations for real-time event-triggered actions
rt-journey-monitor
by treasure-data
Monitor RT journeys - track activation success, debug failures, query activation logs, and optimize performance
rt-config-attributes
by treasure-data
Configure RT 2.0 attributes - single, list, counter, and batch attributes for real-time profile enrichment
agent
by treasure-data
Build LLM agents using tdx agent pull/push with YAML/Markdown config. Covers agent.yml structure, tools (knowledge_base, agent, web_search, image_gen), @ref syntax, and knowledge bases. Use for TD AI agent development workflow.
parent-segment-analysis
by treasure-data
Query and analyze CDP parent segment database data. Use tdx ps desc -o to get output database schema, then query customers and behavior tables. Use when exploring parent segment data, building reports, or analyzing customer attributes and behaviors.
workflow
by treasure-data
Manages TD workflows using tdx wf commands. Covers project sync (pull/push/clone), running workflows, monitoring sessions/attempts, task timeline visualization, retry/kill operations, and secrets management. Use when users need to manage, monitor, or debug Treasure Workflow projects via tdx CLI.
digdag
by treasure-data
Treasure Workflow (digdag) for TD. Covers .dig syntax, session variables (session_date, session_date_compact), td> operator, _parallel/_retry/_error directives, and tdx wf commands.
agent-test
by treasure-data
Run automated tests for LLM agents using tdx agent test. Covers test.yml format with user_input/criteria, single and multi-round tests, evaluation by judge agent, and criteria development workflow.
trino
by treasure-data
TD Trino SQL with TD-specific functions (td_interval, td_time_range, td_time_string, td_sessionize). Use for time-based filtering, partition pruning, and TD query patterns.
tdx-basic
by treasure-data
Executes tdx CLI commands for Treasure Data. Covers tdx databases, tdx tables, tdx query, tdx auth setup, context management with profiles/sessions, and output formats (JSON/TSV/table). Use when users need tdx command syntax, authentication setup, database/table exploration, or query execution.
time-filtering
by treasure-data
Advanced td_interval patterns including offset dates (-1d/2025-10-01, -7d/-1d, 0M/now), td_interval_range for debugging, td_time_string for display formatting, and partition pruning optimization.
td-javascript-sdk
by treasure-data
Expert assistance for importing data to Treasure Data using the JavaScript SDK. Use this skill when users need help with browser-based event tracking, page analytics, client-side data collection, or implementing TD's JS SDK for web applications.
dbt
by treasure-data
dbt with TD Trino. Covers profiles.yml setup (method:none, user:TD_API_KEY), required override macros (no CREATE VIEW), TD_INTERVAL in models, and TD Workflow deployment.
hive
by treasure-data
TD Hive SQL with TD-specific functions and Hive-only features (lateral view, explode, MAPJOIN hint). Use when Trino memory errors occur or for Hive-specific syntax.
trino-to-hive-migration
by treasure-data
Convert Trino queries to Hive when memory errors occur. Covers syntax differences (td_time_string→TD_TIME_FORMAT, REGEXP_LIKE→RLIKE, ARRAY_AGG→COLLECT_LIST) and engine selection.
parent-segment
by treasure-data
Manages CDP parent segments using tdx ps commands with YAML configs. Covers master tables, attributes, behaviors, tdx ps validate for join validation, tdx ps preview for data preview, and schedule configuration (daily/hourly/cron). Use when creating customer master tables, validating join match rates, or troubleshooting parent segment workflows.
connector-config
by treasure-data
Writes connector_config for segment/journey activations using tdx connection schema <type> to discover available fields. Use when configuring activations - always run schema command first to see connector-specific fields.
aps-doc-hist-union
by treasure-data
Expert documentation generation for hist-union workflows. Documents historical and incremental table combination strategies, schema validation, time-based partitioning, and backfill processes. Use when documenting hist-union layers.
aps-doc-ingestion
by treasure-data
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.
identity
by treasure-data
Query identity change logs to explore profile creation and merging
field-agent-documentation
by treasure-data
Comprehensive template and guidelines for documenting Field Agents including technical specifications, system prompts, tool specifications, user interactions, and standardized documentation structure
field-agent-visualization
by treasure-data
Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations
activations
by treasure-data
Query activation logs to check for errors and view volume
template-skill
by treasure-data
Replace with a clear description of what this skill does and when Claude should use it. Be specific about the use cases, tools, or workflows this skill addresses.