Use when cypress CI/CD integration including parallelization, test recording, and media capture.

Write end-to-end tests with Cypress including browser automation, API testing, component testing, and visual regression. Use for E2E testing, integration testing, or frontend QA automation.

Use when cypress fundamentals including commands, assertions, fixtures, and E2E testing patterns.

Configure comprehensive end-to-end testing for web applications.

Writes E2E and component tests with Cypress including selectors, commands, fixtures, and API testing. Use when testing web applications end-to-end, testing user flows, or writing integration tests.

End-to-end flow cytometry workflow from FCS files to differential analysis. Orchestrates compensation, transformation, gating/clustering, and statistical testing with CATALYST/diffcyt. Use when processing flow or mass cytometry data end-to-end.

Inspect code and propose root cause hypotheses. Creates ./.gtd/debug/current/HYPOTHESES.md

Verify hypotheses with debug logging. Updates ./.gtd/debug/current/ROOT_CAUSE.md

This skill should be used when the GM needs to help players create characters, roll for stats, assign ability scores, handle leveling up, increase hit points, choose classes, pick proficiencies, or manage player character creation, advancement, or character sheet management. Provides templates and rules for SRD 5.2 character creation and leveling.

Use when working with data transformations, scales, color schemes, formatting, or CSV/TSV parsing. Invoke for data processing pipelines, scale creation, color interpolation, number/date formatting, or data loading/parsing operations.

Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)

Ranks skill matches by fit, performance history, and contextual relevance. Applies multi-factor scoring including success rate, resource usage, and task alignment. Activate on 'rank skills', 'best skill for', 'skill ranking', 'compare skills', 'optimal skill'. NOT for semantic matching (use dag-semantic-matcher) or skill catalog (use dag-skill-registry).

Establish efficient parallel execution of tasks using Directed Acyclic Graph (DAG) structures to maximize throughput while respecting dependencies.

Synthesizes actionable feedback from validation results, confidence scores, and iteration triggers. Creates structured improvement guidance for re-execution. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).

Learns from DAG execution history to improve future performance. Identifies successful patterns, detects anti-patterns, and provides recommendations. Activate on 'learn patterns', 'execution patterns', 'what worked', 'optimize based on history', 'pattern analysis'. NOT for failure analysis (use dag-failure-analyzer) or performance profiling (use dag-performance-profiler).

Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).

dagger-codegen

Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.

Modern data orchestration with Dagster - Software-Defined Assets, declarative pipelines, observability, and production patterns.

Compose daily blog posts in a multi-post single-file format from multiple data sources including Mastodon and Linkding. Use this skill when the user requests to create, update, or revise daily blog posts throughout the day.

Review and improve English in daily journal entries. Use when the user wants to review their daily English practice with Japanese originals in `::ja` and `::en` sections.

Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.

daily-report-generator

Generate comprehensive daily status reports after solving AoC puzzles. Documents success/failure, challenges faced, retry attempts, execution time, and insights for workflow tuning. Use after completing each day's puzzle to provide developer feedback on automation effectiveness.

Use when preparing daily standups or status reports - automates PR summary generation with categorization, metrics, and velocity analysis; eliminates manual report compilation and ensures consistent format

The orchestrator - coordinates all work across the Creative Crew agents, auto-delegates to specialists, runs parallel execution for 3-5x faster results.

Analyze repositories to reveal unseen patterns, strategic drift, and organizational health. Use when assessing repository coherence, diagnosing project issues, identifying documentation inflation, or understanding why a codebase feels misaligned with its stated goals.

DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes

dart-flutter-mcp

Dart/Flutter MCP tools reference for app lifecycle, hot reload/restart, logging, widget inspection, and code analysis. Use when debugging Flutter applications.

To run Dart or Flutter tests with the agent-centric test runner, execute tests using this tool instead of shell `dart test` or `flutter test`.

DART testing patterns - unit tests, integration tests, CI validation

darwin-godwin-machine

Automatically convert uploaded data (CSV, Excel, JSON) into complete interactive dashboards with zero user input required. Detects patterns in PPC reports, sales data, analytics exports, and business metrics - then generates insights, recommendations, and visualizations instantly. Works seamlessly with CURV design system for on-brand outputs with tabs, funnels, filters, and multi-view layouts.

GPU-accelerated frame extraction for Movie_F dashcam videos. This skill should be used when the user needs to extract frames from Movie_F category dashcam videos placed in the Desktop CARDV folder. Extracts 3 frames per video (BEGIN, MIDDLE, END) using NVIDIA CUDA acceleration with automatic gap analysis, parallel processing, and strict error handling. This is specifically designed for Movie_F category only.

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Dynamic Application Security Testing execution and management. Configure and execute OWASP ZAP and Nuclei scans, run authenticated scanning, manage scan policies and scope, correlate findings with SAST results, and generate comprehensive vulnerability reports.

Database access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based access control (RBAC), migration workflows, type-safe queries, transaction handling, soft deletes, and testing strategies. Use when working with Prisma schema, DAOs, database migrations, or data access patterns in libs/data-access.

Executive-grade data analysis with pandas/polars and McKinsey-quality visualizations. Use when analyzing data, building dashboards, creating investor presentations, or calculating SaaS metrics.

Expert in business intelligence, SQL, data visualization, and translating data into actionable business insights.

Use when writing SQL queries, optimizing database performance, or analyzing data

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

Update data-cleaning-implementation skill with critical pandas patterns and testing learnings from vp-e62a

Generates comprehensive data cleaning and preprocessing pipelines using pandas, polars, or PySpark with best practices for handling messy data.

Create, validate, test, and manage data contracts using the Open Data Contract Specification (ODCS) and the datacontract CLI. Use when working with data contracts, ODCS specifications, data quality rules, or when the user mentions datacontract CLI or data contract workflows.

Data contracts สำหรับกำหนด schema, quality expectations และ SLAs ระหว่าง data producers และ consumers

Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).

Use this skill when designing or reviewing data pipelines, ETL processes, data warehouses, streaming systems, or any system where data movement, transformation, and quality are primary concerns. Applies data engineering thinking to specifications, designs, and implementations.

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.