Comprehensive guide for building Computer Use Agents with the CUA framework. This skill should be used when automating desktop applications, building vision-based agents, controlling virtual machines (Linux/Windows/macOS), or integrating computer-use models from Anthropic, OpenAI, or other providers. Covers Computer SDK (click, type, scroll, screenshot), Agent SDK (model configuration, composition), supported models, provider setup, and MCP integration.

Master team culture, psychological safety, engagement, communication, and inclusion for engineering teams

Index and search culture documentation

Autonomous curator for Source Library. Discover, evaluate, and import historical texts from digital archives (Archive.org, Gallica, MDZ). Use for acquisition sessions, collection gap analysis, or building thematic batches of Western esoteric tradition texts.

Create IMS Common Cartridge 1.3 packages with complete course structure, QTI 2.1 assessments, LTI tool integration, and gradebook setup for maximum interoperability across LMS platforms.

Research subject matter and provide comprehensive analysis for curriculum design including standards alignment, prerequisite mapping, and pedagogical recommendations.

> *"You can't think about thinking without thinking about thinking about something."*

Create a custom builtin function to be used in the Rego policy engine

Guidelines for creating/using the app’s typed global events system.

State management is the **cornerstone of modern Flutter development**. It's the difference between a chaotic, unmaintainable codebase and an elegant, scalable architecture that grows with your busines

Comprehensive customer feedback framework including NPS, CSAT, CES surveys, exit interviews, user research, feature request management with RICE prioritization, feedback analysis, close-the-loop processes, and 90-day implementation roadmap for Voice of Customer programs

Craft empathetic, effective customer support responses that solve problems

Brazilian healthcare compliance for regulated medical and psychological content. Includes LGPD data protection, CFM/CRP/ANVISA regulatory requirements, scientific research validation, and data sanitization. Use when developing healthcare applications, ensuring LGPD compliance, validating medical content, implementing data protection, or creating regulated healthcare systems in Brazil.

Clojure project setup and configuration for agent development with Google ADK. Includes deps.edn configuration, directory structure, namespace organization, REPL-driven development workflow, and build system integration. Use when starting new agent projects, configuring Clojure dependencies, troubleshooting project setup issues, organizing namespaces and code structure, or need guidance on Clojure best practices for agent development.

Complete Vertex AI and Google Cloud Platform setup for Clojure agent development. Includes GCP project saas3-476116 credentials, security best practices (IAM, key rotation, LGPD), cost analysis, API enablement, and environment configuration. Use when starting new Clojure+Vertex project, configuring GCP credentials, implementing security compliance, or troubleshooting authentication.

Search the National Vulnerability Database for known vulnerabilities. Every CVE you find in your target's stack is potential bounty money.

Creative writing skill for analyzing and critiquing story content. Use when the user requests feedback, critique, or analysis of their writing. Provides balanced feedback calibrated to intended audience.

Queries Cynara database and validates runtime privilege policies. Coordinates access control decisions across system services.

Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).

Validates agent outputs against expected schemas and quality criteria. Ensures outputs meet structural requirements and content standards. Activate on 'validate output', 'output validation', 'schema validation', 'check output', 'output quality'. NOT for confidence scoring (use dag-confidence-scorer) or hallucination detection (use dag-hallucination-detector).

Design modern, intuitive DAG/workflow visual editors that feel like LEGO, not LabView

Initialize a dagster project using the create-dagster cli. Create a dagster project, uv virtual environment, and everything needed for a user to run dg dev or dg check defs successfully. (project)

The Daily Highlight system shifts you from reactive efficiency to intentional progress. Instead of trying to do more things faster, you protect one 60–90 minute block for a single "Highlight" that bri

A Tailwind CSS component library that provides a set of pre-designed UI components. Use for accessible, themed components that match Williamstown SC brand.

Warehouse-Prozess-Analyse mit 207 Labels, 47 Prozessen, 8 Szenarien, 10 Triggern. Vollständige Expertise für DaRa Datensatz + REFA-Methodik + Validierungslogik + Szenarioerkennung. 100% faktenbasiert ohne Halluzinationen.

Light and dark mode implementation with prefers-color-scheme, CSS variables, and automatic switching. Use when implementing theme modes, color schemes, or system preference detection.

Build robust dark/light mode theming with system preference detection and persistent storage.

Implements theme switching with semantic tokens and prefers-color-scheme detection. Use when adding dark mode, light/dark themes, color scheme toggles, or converting hardcoded colors to theme-aware tokens.

Expert-level Dart, Flutter, mobile development, and cross-platform apps

Using data-* attributes as the HTML/CSS/JS bridge for state, variants, and configuration. Use when managing element state, styling variants, or configuring behavior without JavaScript classes.

Backup and manage game data including maps, NPCs, and configurations. Use when the user wants to backup data, create snapshots, export data, or restore from backups.

Manage metadata, lineage, and discovery.

Data classification framework including sensitivity levels, handling requirements, labeling, and data lifecycle management

Operating model for defining, enforcing, and auditing BI data contracts.

Data modeling, schema design, and data architecture

Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.

Use when defining data contracts, consent policies, and monitoring for

Organize object storage with lifecycle policies.

Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms

Design data models with Pydantic schemas, comprehensive validation rules,

발굴조사 자료(논문/보고서/주변유적) 수집 및 메타데이터 정규화

Detect PII, mask data, and manage consent and encryption.

Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.

Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values, schema compliance, consistency issues, or anomalies before analysis and reporting.

Implement validation, profiling, and anomaly detection.

Write and verify SQL queries with BigQuery. Use when executing bq commands, writing SQL queries, or including query results in documents.

- [Purpose](#purpose)

Ensure Alpaca API is used for quality data, not yfinance fallback. Trigger when: (1) crypto volume filter fails unexpectedly, (2) zero-volume bars in data, (3) API key configuration issues.

Python data structure conventions for this codebase. Apply when choosing between Pydantic models, dataclasses, and other data containers.

Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.