Validate a capability flow specification against schema constraints. Use after designing a process to ensure it conforms to framework rules. Triggers on "validate capability flow", "check process spec", "verify schema compliance".
Implement data validation rules, quality metrics, and data cleansing strategies
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
Use when you need to ensure database integrity through comprehensive data validation. This skill validates data types, ranges, formats, referential integrity, and business rules. Trigger with phrases like "validate database data", "implement data validation rules", "enforce data integrity constraints", or "validate data formats".
Dimensional modeling, normalization, and schema design for analytics.
Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
Chaotic interleaving across local DuckDB databases modeled as coupled quadruple pendula. Random walks both BETWEEN databases and WITHIN tables for context injection.
Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - Historical workflow metrics - Context checkpoint storage/recovery - State transition analysis Use when: Data gathering and analysis for workflow state tracking Triggers: "analyze workflow", "query state", "checkpoint", "workflow metrics"
Check data freshness and age for DST tables in DuckDB. Use when determining if data needs refreshing or validating data currency before analysis.
DuckDB file discovery agent with verified absolute paths
Layer 1 Real-Time Social Stream Monitoring via MCP with DuckDB persistence
Complete adapter lifecycle assistant for LimaCharlie. Supports External Adapters (cloud-managed), Cloud Sensors (SaaS/cloud integrations), and On-prem USP adapters. Dynamically researches adapter types from local docs and GitHub usp-adapters repo. Creates, validates, deploys, and troubleshoots adapter configurations. Handles parsing rules (Grok, regex), field mappings, credential setup, and multi-adapter configs. Use when setting up new data sources (Okta, S3, Azure Event Hub, syslog, webhook, etc.), troubleshooting ingestion issues, or managing adapter deployments.
ScalarDB Cluster および ScalarDB Analytics のアーキテクチャ、サイジング、構成を見積もるスキル。 性能要件、可用性要件、クラウド環境からScalarDB Cluster Pod数、Kubernetes構成、 バックエンドDB、API Gateway、監視システム等の全体構成を見積もる。 ScalarDB Analyticsを使用する場合はEMR/Databricksのサイジングも含む。 使用タイミング: - 「ScalarDBのサイジングを見積もりたい」「ScalarDB環境を構築したい」 - 「ScalarDB Clusterの構成を決めたい」「ScalarDBの費用を算出したい」 - 「開発/テスト/ステージング/本番環境のScalarDB構成」 - CI/CD、Blue/Green、Canary Deploymentを含む本番環境設計 - 「ScalarDB Analyticsを使いたい」「分析クエリ環境を構築したい」 - 「EMR/Databricksのサイジングを見積もりたい」 出力: Markdown形式の見積もり結果 + HTML形式のレポート 費用: USD/JPY両建て（為替レート明記）
PySpark fundamentals for distributed data processing.
Scaffold new DLT pipeline for data ingestion to MotherDuck
Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation strategies. Use when working with mainframe migration, COBOL analysis, legacy system modernization, JCL workflows, or when users mention COBOL to Java conversion, analyzing .cbl/.CBL/.cob files, working with copybooks, or planning Java service implementations from COBOL programs.
GraphDB構築エージェント - ユビキタス言語とコード解析結果からRyuGraphデータベースを構築。/build-graph [対象パス] で呼び出し。
Layer 5 Interaction Interleaving for Maximum Information Gain with DuckDB
