Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes digital imagery through responsive delivery, modern format conversion, and automated processing pipelines.
Provides a comprehensive framework for defining, evaluating, and implementing non-functional requirements and architectural trade-offs.
Architects robust digital asset management systems, media libraries, and secure file upload pipelines.
Enforces .NET architectural boundaries and layer constraints using NetArchTest and ArchUnitNET validation rules.
Optimizes Git environments through comprehensive configuration of global settings, aliases, performance tuning, and credential management.
Evaluates the maturity of a codebase's AI agentic infrastructure using a standardized 12-grade classification system.
Implements robust editorial workflows, multi-stage approval chains, and scheduled publishing for content management systems.
Automates the systematic extraction and categorization of project requirements from diverse document formats and meeting transcripts.
Conducts research-backed stakeholder interviews to elicit and document project requirements using systematic LLMREI patterns.
Provides strategic guidance for software engineers to navigate internal promotions, external job searches, and long-term professional growth.
Analyzes requirements using the Jobs to Be Done framework to uncover deep customer motivations and desired outcomes.
Orchestrates multi-source requirements gathering through AI-driven interviews, document extraction, and stakeholder simulation.
Designs and implements robust finite state machines and statecharts for complex system lifecycles and behavior specifications.
Conducts systematic security assessments using STRIDE and DREAD methodologies to identify and mitigate software vulnerabilities during design.
Designs modular Plan/Build/Review/Fix workflow primitives for robust and repeatable AI developer workflows.
Aligns organizational team structures with desired software architectures using the Inverse Conway Maneuver to optimize system delivery.
Integrates automated security scanning, vulnerability management, and shift-left principles directly into your software development lifecycle.
Facilitates structured workplace communication for resolving conflicts, delivering feedback, and managing sensitive professional discussions.
Implements distributed transaction patterns using orchestration and choreography to ensure eventual consistency in microservices.
Implements comprehensive data classification frameworks and lifecycle management policies to ensure regulatory compliance and data security.
Optimizes LLM inference infrastructure and deployment strategies using industry-standard frameworks and architectural patterns.
Authors and validates professional AsyncAPI 3.0 specifications for event-driven architectures and message-based systems.
Guides the design of robust, scalable APIs by providing architectural best practices for REST, GraphQL, and gRPC implementations.
Design and implement real-time swimlane UI patterns to visualize AI Developer Workflow (ADW) execution and agent activity.
Configures and troubleshoots Language Server Protocol (LSP) integrations to enhance Claude Code's code intelligence capabilities.
Implements robust API protection through standardized rate limiting, throttling, and quota management patterns.
Create strategic Wardley Maps to visualize value chains and optimize technology evolution decisions.
Optimizes machine learning model performance by reducing latency and memory footprint through advanced compression and deployment strategies.
Guides the implementation of AI governance, regulatory compliance, and responsible AI practices using frameworks like the EU AI Act and NIST AI RMF.
Designs robust event-driven API specifications using AsyncAPI 3.0 for message-based architectures and streaming services.
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