V3 Deep Integration
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
3209 skills
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Debug runtime-dependent bugs by generating competing hypotheses, adding temporary structured-log probes, collecting local evidence, and applying only an evidence-backed fix. Use for intermittent or timing-sensitive bugs, races, frontend/backend interaction failures, runtime-state issues, repeated speculative-fix failures, or explicit requests to instrument and collect evidence. Not for breakpoints, stepping, or variable inspection.
Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Write and update component explorer fixtures for UI work — fixtures, screenshots, visual testing. USE FOR: "create a fixture for a component", "add fixture groups or variants", "screenshots or visual testing of UI", "adding or changing UI in a component explorer project". DO NOT USE FOR: "set up or install the component explorer", "write a unit test with a test runner".
Create structured interview plans with competency-based questions and scorecards. Trigger with "interview plan for", "interview questions for", "how should we interview", "scorecard for", or when the user is preparing to interview candidates.
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Set up and integrate the Component Explorer into a Vite based project. USE FOR: "set up component explorer", "add component explorer to a Vite app", "install component explorer packages", "configure the component explorer Vite plugin". DO NOT USE FOR: "write a fixture for a component", "set up a different test framework".
Draft an offer letter with comp details and terms. Use when a candidate is ready for an offer, assembling a total comp package (base, equity, signing bonus), writing the offer letter text itself, or prepping negotiation guidance for the hiring manager.
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
Lightweight setup — install Component Explorer packages and add the Vite plugin, with MCP server for AI agent integration. USE FOR: "lightweight or minimal component explorer setup", "install the packages and add the Vite plugin", "component explorer without the CLI daemon", "MCP server for AI agent integration". DO NOT USE FOR: "full setup with VS Code tasks and launch config", "write a fixture for a component".
Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with "what should we pay a [role]", "is this offer competitive", "model this equity grant", or when uploading comp data to find outliers and retention risks.
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where compensation steps never complete.
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
Full setup of the Component Explorer including CLI, MCP server, VS Code tasks and launch config. USE FOR: "complete component explorer setup with the CLI", "configure the component explorer MCP server", "add VS Code tasks for the component explorer", "add a launch config for the component explorer". DO NOT USE FOR: "minimal or plugin only component explorer setup", "write a fixture for a component".
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.