Release preparation workflow - security audit β E2E tests β review β changelog β docs
Release preparation workflow - security audit β E2E tests β review β changelog β docs
Chain agents together in sequential or branching workflows with data passing
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UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create,...
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured...
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent...
Test-driven development workflow with philosophy guide - plan β write tests β implement β validate
Test-driven development workflow with philosophy guide - plan β write tests β implement β validate
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Senior Workflow Architect. Master of Trunk-Based Development, Stacked Changes, and 2026 Branching Strategies.
TDD workflow for migrations - orchestrate agents, zero main context growth
Notion workspace integration - knowledge management, meeting preparation, research documentation and spec-to-implementation workflows.
Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.
CodeRabbit AI code review. Covers CLI, configuration, triage workflow. Keywords: @coderabbitai, code review.
Build web applications with Bubble - create no-code apps with databases, workflows, and complex logic
Use when user wants to work with specifications or create feature requirements following the spec-driven development workflow
Manage ML model lifecycle from development to deployment with experiment tracking, versioning, monitoring, and automated retraining workflows.