Agent Skills Hub

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

mastra

Official Mastra framework guide. Master AI agent and workflow development with local documentation lookup, API verification, and TypeScript-based project management.

ring:dev-sre

Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.

create-skill

Standardizes the process of creating and maintaining reusable Claude Code skills for packaging developer workflows and domain expertise.

context-degradation

Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.

plantuml-manipulator

Structured batch manipulation, validation, and reporting for PlantUML sequence diagrams across multiple files.

consultancy-practices

Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.

implementation

Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.

swift-patterns

Expert SwiftUI assistant for reviewing, refactoring, and building high-performance, testable, and modern iOS applications using Apple's best practices.

api-integration

Automate frontend API integration using Apidog and MCP servers. Generate TypeScript types, TanStack Query hooks, and axios-based clients from OpenAPI specifications for consistent, type-safe API consumption.

stakeholder-map

Map stakeholders on a Power/Interest grid, define tailored communication strategies, and generate a comprehensive engagement plan for product initiatives and team alignment.

shift-left-testing

Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.