Explore our collection of Agent Skills to enhance your AI workflow.
Generates exhaustive feature specifications including diagrams, flowcharts, and Gherkin scenarios to eliminate development ambiguity.
Manages shared type contracts and service boundaries to streamline multi-agent code orchestration.
Identifies, analyzes, and applies standardized software architecture patterns to ensure scalable and maintainable codebases.
Orchestrates the entire development lifecycle from initial feature request to final pull request using the PRP methodology.
Instruments complex multi-agent workflows to provide deep visibility into agent handoffs, hierarchies, and coordination patterns.
Extracts and analyzes competitor advertisements from ad libraries to identify high-performing messaging, creative patterns, and market positioning.
Automates the creation of comprehensive pull request documentation by correlating technical git diffs with functional specifications.
Generates complete feature specifications immediately using sensible defaults without asking clarifying questions.
Optimizes AI agent performance in production through strategic sampling, async evaluation pipelines, and regression detection.
Designs and implements resilient distributed systems and long-running processes using Temporal orchestration patterns.
Architects comprehensive observability strategies for AI agents using a structured, outcome-focused 5-tier framework.
Monitors and analyzes Cloudflare Workers deployment pipelines to ensure successful CI/CD workflows and rapid debugging.
Guides developers through migrating from CoreData to SwiftData with advanced schema versioning and iCloud sync strategies.
Audits UI components for styling, accessibility, and UX consistency without modifying source code.
Configures and manages Synapse documentation projects including schema customization, versioning, and automated publishing workflows.
Analyzes development sessions to automatically improve your AI toolkit, documentation, and workflow automation.
Guides modern Apple platform development with Swift 6.x best practices, macros, and concurrency patterns.
Instruments and monitors AI agent error handling, retry logic, and fallback strategies to improve system reliability and observability.
Instruments retrieval-augmented generation and memory operations to provide deep visibility into AI agent context and retrieval quality.
Manages and validates structured Synapse knowledge bases using strict schema and body-grammar rules for 15 document types.
Transforms plain-English ideas into production-ready, AI-executable implementation plans through a rigorous six-phase automated pipeline.
Orchestrates multiple Claude Code agents to work in parallel on complex software tasks using shared task lists and coordinated messaging.
Accelerates the development of AI-powered applications by providing architectural blueprints and implementation guides for RAG, semantic search, and customer support bots using Moorcheh.
Monitors LLM token usage and real-time costs across agents to ensure budget compliance and operational efficiency.
Implements the Transferable protocol for drag-and-drop, copy-paste, and system sharing in SwiftUI apps.
Builds, deploys, and manages serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Monitors and optimizes Cloudflare DNS performance by providing real-time analytics, zone reports, and configuration insights.
Generates comprehensive system documentation and Mermaid architecture diagrams from discovered codebase and API metadata.
Simplifies complex SwiftUI text rendering, AttributedString manipulation, and native Markdown integration for Apple platforms.
Provides comprehensive implementation patterns and architectural guidance for building modern iOS applications using SwiftUI and the Observation framework.
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