time-filtering
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.
浏览 treasure-data 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
33收录技能的仓库 Stars 合计
396仓库 Forks
561平均每个技能的仓库 Stars
12同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
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.
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 de...
Comprehensive template and guidelines for documenting Field Agents including technical specifications, system prompts, tool specifications, user interactions, and standardized documentation structure
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.
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....
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 conf...
TD MCP server setup for Claude Code integration. Covers installation, regional configuration (us01, jp01, eu01), available tools (query, list_databases, describe_table), and write mode.
Best practices for developing, testing, and deploying production-ready Field Agents including R&D workflows, version control, testing strategies, and release management
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...
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.
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...
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。