Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
Creating effective data visualizations using charts, graphs, and visual representations to communicate insights clearly and accurately following Tufte and Few principles.
Provides expert design guidance for creating truthful, clear, beautiful data visualizations. Focuses on **DESIGN DECISIONS ONLY**—chart selection, color strategy, visual encoding, and validation. Assumes data is accurate and prepared. Auto-activates when user mentions: data viz, dashboard, chart type, visualization, infographic
Build mathematically correct, visually prominent data visualizations for time-series charts. Use this skill when creating charts with mathematical overlays (trendlines, patterns, indicators), fixing visual artifacts (wavy lines, domain mismatches), or validating chart correctness. Focuses on technical correctness and progressive validation, not aesthetic design.
Create visualizations that Seaborn users, Tufte readers, and everyone else will love. Marry NYT Graphics rigor with MoMA aesthetics, Nike energy, and On Kawara precision.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
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Role assignment for Claude Agent #1 - Database schema architect for Lead Hunter Prime. Build ONLY database schema (11 tables, RLS policies, seed data). Do NOT build APIs, dashboards, or N8N workflows.
Upload estimation results to Supabase storage and register with Estimator API. Final phase of the estimation workflow.
Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.
Master database design (SQL, NoSQL), system architecture, API design (REST, GraphQL), and building scalable systems. Learn PostgreSQL, MongoDB, system design patterns, and enterprise architectures.
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Expert-level Databricks platform, Apache Spark, Delta Lake, MLflow, notebooks, and cluster management
Query logs, metrics, monitors, and dashboards from Datadog. Search logs, check alert status, and investigate incidents.
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
Use when editing Planning Hubs, timelines, calendars, or any file with day-name + date combinations (Wed Nov 12), relative dates (tomorrow), or countdowns (18 days until) - validates day-of-week accuracy, relative date calculations, and countdown math with two-source ground truth verification before allowing edits
datum-system
Transform AI agents into experts on dbt project architecture and medallion layer patterns, providing
Transform AI agents into experts on dbt materializations, providing guidance on choosing the right
Transform AI agents into experts on writing production-quality dbt models, providing guidance on CTE
Practical DDD patterns for Jakarta EE web applications with cognitive load distribution. Use when designing controllers, entities, services, or evaluating cohesion and load balance.
Guide for DDD strategic design - analyzing domains through structured questioning, conducting stakeholder interviews (PM/domain experts/users), and producing Bounded Context analysis, Context Maps, and Ubiquitous Language. Use when user needs help understanding domain boundaries, planning domain interviews, or structuring DDD strategic artifacts.
Web search via the DDGS metasearch library. Use for searching for unknown documentation, facts, or any web content. Lightweight, no browser required.
CRM integration for tracking deals through pipeline stages with automated status updates
Create or update a Decision Interface Charter for recurring decisions
Use when making architectural or business logic decisions during conversations - adds entry to DECISIONS.md
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Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workflows.
deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+
Expert in lease defaults and landlord remedies. Use when analyzing default scenarios, calculating cure periods, assessing damages, or drafting default notices. Key terms include monetary default, non-monetary default, cure period, notice to cure, lease termination, re-entry, damages, acceleration of rent, unamortized TI clawback
'Create a DESIGN_GUIDELINES.md that defines how to design UI/UX for your customer. Requires CUSTOMER.md to exist first. Covers aesthetic direction, design tokens, typography, color, motion, components, and layout patterns. Bakes in frontend-design skill principles to avoid generic AI aesthetics.'
Create spike definitions with canonical names and numbered approaches for parallel exploratory implementation. Use when partner has an underdefined feature idea and wants to explore multiple implementation approaches in parallel, when uncertain which technical approach is best, or when comparing alternatives before committing to implementation
Split work across subagents with explicit contracts, interfaces, and merge strategies. Use when parallelizing tasks, distributing workload, or orchestrating multi-agent workflows.
Use when designing cloud infrastructure, CI/CD pipelines, or deployment strategies
Run Digital Elevation Model (DEM) analysis pipeline to identify unmapped fault structures through edge detection, drainage pattern analysis, and topographic lineament extraction. Validated in Italy wh
Demand forecasting skill with quantitative and qualitative methods, accuracy measurement, and bias correction
Эксперт demand generation. Используй для стратегий генерации спроса, lead scoring, кампаний и funnel optimization.
This skill demonstrates Claude Code 2.1's parallel agent capabilities by analyzing your Second Brain knowledge base.
Default design tokens for demo applications. Use when building demos without a formal design system. Provides colors, typography, spacing, shadows, and transitions.
Use this skill when working with ~/org/ directory, Denote files (YYYYMMDDTHHMMSS--title__tags.org), or org-mode knowledge bases. Provides scripts for: parsing Denote filenames/metadata, extracting org file TOC, and navigating 3,000+ file PKM systems. Trigger on: ~/org/, ~/org/llmlog/, ~/org/bib/, Denote ID parsing, org heading extraction.
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dependency-vetting
Graph generation rules, Mermaid syntax, critical path algorithms, and visualization best practices
Map and visualize dependencies between features and work items.
Deploy Frappe HRMS code changes to AWS production. Use when you need to deploy Python/API changes to the Frappe Docker container.
Comprehensive guide for deploying Orient to production. Use this skill when deploying changes, updating production, fixing deployment failures, or rolling back. Covers pre-flight checks, environment variables, Docker compose configuration, CI/CD pipeline, smart change detection, and health verification.
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.
Automates GitHub repository creation and Vercel deployment for Next.js websites. Use when deploying new websites, pushing to production, setting up CI/CD pipelines, or when the user mentions deployment, GitHub, Vercel, or going live.