Agent Skills Hub

design-system-implementation

Enforce strict UI adherence to your project's design system tokens, components, and layout patterns for consistent frontend implementation.

sparc-methodology

SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.

commit

Enforces Sentry-style conventional commits, branch safety checks, and structured issue referencing for AI coding agents.

mvnf

Run repeatable Maven tests in RDF4J with module-specific workflows, automatic environment refreshing, and actionable failure reporting.

claude-opus-4-5-migration

Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

ragcode-sse

Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.

omc-plan

Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.

multi-tenant-isolation

Enables multi-tenant isolation for AI agent swarms, ensuring strict data separation, process isolation, and secure resource management between deployments.

nelson

Orchestrates complex multi-agent software development using a structured Royal Navy squadron metaphor, featuring mission planning, parallel task coordination, and rigorous audit logs.

tanstack-query

Production-grade TanStack Query v5 patterns for async state management, including query key factories, data mutations, caching, and SSR configuration.

issue-triage-report

Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.