Skill UI

Generate comprehensive software requirements specifications following EARS format. Analyzes project context, creates acceptance criteria, and ensures scope boundaries are clearly defined before implementation. Supports both greenfield and brownfield projects with sub-agent delegation for codebase exploration and domain research.

This skill generates actionable implementation tasks from product specifications, requirements, and design documents. It ensures tasks are properly sized, mapped to requirements, and include clear completion criteria. It supports parallel or sequential execution modes and includes a sanity review gate to verify task executability before finalizing the task plan.

Interactive technical design quality review tool that validates design documents against requirements, identifies critical issues, and provides GO/NO-GO decisions with actionable feedback for implementation readiness. Supports multi-agent parallel research and follows structured review process.

A comprehensive guide detailing five robust architectural patterns for building applications powered by Claude, including Chatbot, RAG, Agent, Content Pipeline, and Evaluation. It provides complete code examples and decision matrices to help developers select the optimal architecture based on project requirements, cost, and complexity.

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

This comprehensive guide provides advanced strategies for optimizing interactions with the Klaviyo API. It covers implementing response caching (LRU Cache), efficient cursor-based pagination, request batching using DataLoader, and controlling API concurrency. Use this when dealing with slow API responses, large datasets, or high-throughput integration requirements.

This skill guides the secure handling and lifecycle management of large-scale data artifacts, including training datasets, model weights, and checkpoint snapshots, within GPU cloud environments. It provides best practices for data pipelines, covering secure import via Kubernetes PVCs, compliant export, and stringent data validation, ensuring adherence to encryption standards (AES-256) and regulatory requirements (PII masking, RBAC).

This skill acts as a rigorous, Socratic interviewer designed to stress-test a proposed plan against an established domain model and existing project documentation. It forces the user to sharpen terminology, resolve cross-cutting dependencies, and identify inconsistencies between stated requirements, code implementations, and documented decisions. It ensures the resulting architecture is precise, consistent, and well-documented by automatically updating the context and generating Architecture Decision Records (ADRs).

A comprehensive guide for generating highly detailed and structured embodiment descriptions for patent specifications. It outlines the necessary workflow for describing how an invention is made and used (method, system, apparatus), ensuring the patent meets enablement requirements while strictly differentiating technical descriptions from empirical experimental results.

A comprehensive checklist to guide businesses through year-end financial closing, tax preparation, and compliance filing. It verifies the synchronization of data from banking, payroll, and expense platforms, ensuring all integrations are active, records are reconciled, and regulatory requirements are met to prevent missed deadlines or audit risks.

This skill provides comprehensive guidance and solutions for diagnosing and fixing common technical errors and exceptions encountered when integrating with the Grammarly API. It covers specific HTTP error codes (400, 401, 413, 429), addressing issues such as invalid tokens, payload size limits, rate limit exhaustion, and text formatting requirements. Use it when debugging failed API requests or troubleshooting complex integration workflows.

Implements comprehensive data governance for Intercom integrations. This skill handles GDPR/CCPA compliance requirements, including executing Data Subject Access Requests (DSAR), performing contact deletion, bulk message export, and PII redaction in logs. It is essential for maintaining user privacy and ensuring legal data retention compliance.