Completion Check: Verify Infrastructure Is Wired

Completion Check: Verify Infrastructure Is Wired

Ultimate AGI Evolution - 200 UltraThink thoughts, quantum branching, self-improvement loops, cross-skill orchestration, and predictive goal decomposition. The pinnacle of autonomous agent capability.

Create uxscii components with ASCII art and structured metadata when user wants to create, build, or design UI components. Use when working with .uxm files, when user mentions .uxm components, or...

Beads Viewer - Graph-aware triage engine for Beads projects. Computes PageRank, betweenness, critical path, and cycles. Use --robot-* flags for AI agents.

Beads Viewer - Graph-aware triage engine for Beads projects. Computes PageRank, betweenness, critical path, and cycles. Use --robot-* flags for AI agents.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production...

Guide for Vercel AI SDK v6 implementation patterns including generateText, streamText, ToolLoopAgent, structured output with Output helpers, useChat hook, tool calling, embeddings, middleware, and...

Deep dive into Swift's async/await runtime, Sendable enforcement, actors, and migration strategies.

Master function composition in fp-ts using pipe and flow for building elegant, type-safe data transformation pipelines

CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build...

Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents

Orchestrate comprehensive planning phase from ideation to development-ready specifications using 3 specialized agents (Full workflow documentation at docs/workflows/planning-workflow.md)

Admins have full control

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

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