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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 err...
TD workflow debugging and operations. Covers tdx wf commands for monitoring (sessions, attempt, logs), retry/backfill patterns, alerting (_error with Slack/email), and data quality checks.
Expert documentation generation for hist-union workflows. Documents historical and incremental table combination strategies, schema validation, time-based partitioning, and backfill processes. Use when document...
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.
Writes connector_config for segment/journey activations using `tdx connection schema ` to discover available fields. Use when configuring activations - always run schema command first to see connector-specific...
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 n...
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,...
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/Goog...
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Query identity change logs to explore profile creation and merging
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.
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 do...
Query activation logs to check for errors and view volume
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 unifi...
Write effective system prompts for TD AI agents. Covers role definition, constraint specification, output formatting, tool usage instructions, and prompt structure patterns.
Expert documentation generation for ingestion layers. Automatically detects connector types (REST API, Database, File, Streaming), documents authentication patterns, rate limiting strategies, and incremental lo...
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.
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.
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 configu...
Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations
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, a...
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,...
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 implementin...
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。