Design production-quality custom DSPy modules with proper architecture, state management, serialization, and testing patterns.

Debug, trace, and monitor DSPy programs using built-in inspection, MLflow tracing, and custom callbacks for production observability.

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Build production-quality ReAct agents that use tools to solve complex multi-step tasks with reasoning, acting, and error handling.

This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.

Design clear, type-safe signatures that define what your DSPy modules should do.

dss_read_boundary-data

Test distributed systems with reproducible deterministic simulation using turmoil

Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, building dashboards, or displaying trends from database tables.

Workflow for private repos + Colab training. Trigger when: (1) training on Colab with private repo, (2) separating dev from production, (3) avoiding untested code in production.

Use when building reusable PyPI package with pgdbm - provides complete pattern for libraries that work standalone or embedded without needing examples

Use AFTER any code changes (feature implementation, bug fix, refactor) to enforce mandatory dual-pass review. First pass reviews unstaged changes for correctness and convention compliance. Second pass ONLY executes if first pass made any corrections. Ensures work follows project conventions, development rules, and best practices before task completion.

Use two independent agents for reviews or research, then collate findings to identify common findings, unique insights, and divergences

Analyze AWS Application Load Balancer (ALB) logs stored in S3 using DuckDB. Use when users request ALB log analysis, error investigation, performance analysis, traffic analysis, or need to query ALB access logs. Supports analyzing response times, status codes, error patterns, and traffic trends from S3-stored logs.

Generate DuckDB SQL queries. Use when user asks about DuckDB queries, data analysis, exploring .ddb database files, CSV files, Parquet files, wants help editing/improving SQL, asks to use the duckdb skill, references duckdb assets, or wants to initialize/setup duckdb analysis.

Comprehensive application audit. Analyzes best practices, security compliance, frontend design quality. Identifies top improvements and critical errors. Produces scores for design, code quality, and security.

Single source of truth and librarian for ALL Duende Software documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Duende documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms-full.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms-full.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.

Find and eliminate code duplication with DRY refactoring strategies

Automatically applies when adding configuration settings. Ensures proper dynaconf pattern with @env, @int, @bool type casting in settings.toml and environment-specific overrides.

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Use when implementing flexible content schemas using EF Core JSON columns, `OwnsOne().ToJson()` patterns, or designing dynamic field storage that avoids migrations. Covers JSON column configuration, LINQ querying of JSON properties, indexing strategies, and schema evolution patterns for headless CMS architectures.

AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.

Comprehensive skill for building, debugging, and optimizing DZMM.AI applications. Use this skill when users request creating interactive web apps on the DZMM platform, need guidance on DZMM API usage, or require help with existing DZMM applications. Covers AI-driven chatbots, visual novels, dating sims, content generators, RPG games, content platforms, and visual effect systems. Includes state management games, message management (reroll/edit/delete), multi-opening systems, rich text rendering, modular prompt engineering, resource reuse strategies, React/Vue to DZMM migration, and responsive mobile design.

Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash code, managing sandbox lifecycle (create, pause, resume, kill, list, connect), monitoring metrics (CPU, memory, disk), handling lifecycle events, uploading/downloading files, streaming command output, environment variable management, and integrating LLMs with code execution capabilities.

Generate end-to-end tests with Playwright browser automation

Systematically test all pages for errors, functionality, and proper rendering using Playwright MCP

Diagnose and resolve E2E test failures in Playwright. This skill should be used when E2E tests fail and need investigation, when Playwright test errors require root cause analysis, or when test failures need to be reproduced in the browser for debugging. Orchestrates MCP tools (Playwright, Chrome DevTools, Serena) and delegates code fixes to specialized agents.

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Playwright end-to-end testing expert. Use when writing E2E tests, browser automation, or debugging flaky tests.

Production E2E testing for The Simpsons API using Chrome DevTools MCP for browser automation and Neon MCP for real-time database verification. Covers smoke journeys, mutation validation, and deployment sanity checks. Use when the user asks to run, design, or validate E2E tests against the production site, verify live deployments, or perform post-deploy checks.

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Execute end-to-end test scenarios against running microservices with automatic debugging and reporting.

Design E2E tests following user-story-driven patterns with verification checkpoints. Use when creating end-to-end tests, validating complete user journeys, or designing Playwright/Cypress test patterns.

This skill helps fix three critical E2E test issues:

e2e-test-runner

End-to-end testing scenarios for Supabase - complete workflow tests from project creation to AI features, validation scripts, and comprehensive test suites. Use when testing Supabase integrations, validating AI workflows, running E2E tests, verifying production readiness, or when user mentions Supabase testing, E2E tests, integration testing, pgvector testing, auth testing, or test automation.

Write comprehensive end-to-end tests using Playwright with page object

Build autonomous end-to-end full-stack testing agents using Claude's Computer Use API, LangGraph orchestration, and hybrid Playwright automation. Use this skill when building testing infrastructure, test automation, CI/CD test integration, or self-healing test systems.

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Write E2E tests with Playwright using selector best practices. Use when you need to write end-to-end integration tests, user scenarios, or complete workflows.

Run E2E tests for Sentry JavaScript SDK test applications

Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.

EARS requirement pattern authoring. Use when writing requirements using EARS patterns (Ubiquitous, State-Driven, Event-Driven, Unwanted, Optional, Complex). Provides pattern templates, validation, and examples.

EAS Build configuration for iOS and Android. Use when setting up cloud builds.

Expert on EAS Update for over-the-air updates in Expo apps. Covers update deployment, rollouts, rollbacks, channels, branches, and runtime versions. Invoke when user mentions EAS Update, OTA updates, hot updates, update channels, or app updates without app store.

Expert in technical valuation approaches for easements including percentage of fee method, income capitalization, and before/after comparison. Use when valuing utility transmission easements, pipeline corridors, access easements, telecom sites, or when detailed methodology beyond basic percentage ranges is required. Key terms include easement valuation, percentage of fee, income capitalization, paired sales analysis, discount rate selection, agricultural rent analysis

Master Eastern philosophical methods, concepts, and practices. Use for: Buddhist philosophy, Daoist thought, Confucian ethics, Hindu philosophy, Zen, Yogic traditions. Triggers: 'Buddhist', 'Buddhism', 'Tao', 'Dao', 'wu wei', 'sunyata', 'emptiness', 'Middle Way', 'Confucius', 'Confucian', 'dharma', 'karma', 'nirvana', 'satori', 'mindfulness', 'non-attachment', 'dependent origination', 'Zen', 'Vedanta', 'Nagarjuna', 'yin yang', 'qi', 'li', 'ren', 'junzi'.

ebfe_organize_models

Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.

Scaffold new eBPF-based Cloud Native Network Function (CNF) projects with proper directory structure, boilerplate C kernel code, Go userspace application, bpf2go generation, and build configuration following established patterns. Use when creating new CNF examples or starting fresh eBPF projects.