Explore our collection of Agent Skills to enhance your AI workflow.
Generates professional UML and non-UML diagrams from text descriptions or source code and manages documentation conversion workflows.
Validates Flutter Supabase queries through static analysis, live database testing, and RLS verification to ensure production reliability.
Guides feature planning and development using Minimum Viable Product principles to focus on essential functionality and rapid delivery.
Generates structured, actionable Linear issue descriptions and acceptance criteria to ensure clear execution by developers and AI agents.
Implements high-performance Flutter animations using a Rive-first approach, Lottie, and standardized motion guidelines.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Automates the creation, initialization, and validation of SAX-compliant skills based on Anthropic standardization patterns.
Enforces the Easy Approach to Requirements Syntax (EARS) to create unambiguous, testable acceptance criteria using standardized formal patterns.
Manages stacked pull requests using the Graphite CLI to ensure proper branch dependencies and streamlined code reviews.
Coordinates multi-agent development workflows by decomposing complex strategies into actionable tasks and managing parallel execution schedules.
Enforces a rigorous evidence-based workflow requiring command execution and output validation before any task is marked as finished.
Decomposes complex features into thin, end-to-end pieces of functionality to facilitate continuous delivery and incremental progress.
Transforms abstract ideas into validated technical designs through a structured, step-by-step collaborative dialogue.
Extracts content from URLs and automatically generates actionable Ship-Learn-Next implementation plans.
Streamlines the final stages of feature development by verifying tests and managing branch integration or cleanup workflows.
Automates the end-to-end PRP engineering cycle by orchestrating branch creation, documentation, implementation, and pull requests in a single sequence.
Accelerates development by orchestrating multiple AI agents to handle independent tasks and bug fixes simultaneously.
Performs complex data extraction and sophisticated business analysis using advanced SQL techniques and performance-optimized queries.
Enforces a strict evidence-first protocol requiring empirical verification and fresh command output before any task is marked as complete.
Implements clean architecture service layers with type-safe error handling and efficient data access patterns.
Optimizes video content for YouTube, TikTok, and Instagram using 2026 SEO strategies to maximize organic reach and discoverability.
Provides comprehensive technical guidance and documentation for building multi-platform applications using the Taro framework.
Enforces 37signals-style Rails testing patterns focusing on fixtures, Minitest, and integration-style controller tests.
Performs advanced SQL data analysis, query optimization, and complex transformations using modern database patterns.
Automates software delivery with pre-configured templates for GitHub Actions, caching, and secure deployment pipelines.
Accelerates mobile app development using standardized 3-layer architecture, Riverpod 3.x state management, and Supabase integration.
Breaks down high-level initiatives into actionable, right-sized tasks using Flight Levels principles.
Streamlines Shopify theme development with automated workflows for deployment, local testing, and multi-language asset management.
Streamlines mobile application delivery pipelines using Flutter, Xcode Cloud, Fastlane, and GitHub Actions.
Prevents common Ruby on Rails runtime errors and architectural pitfalls through proactive checklists and verification strategies.
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