Skill UI

A rigorous, standalone tool designed for explicit, blind, and adversarial code review. It executes the code target through two parallel, independent judges (Judge A and Judge B) with strict rules and limited fix rounds. This process ensures maximum scrutiny, providing a definitive, highly corroborated verdict (APPROVED or ESCALATED) that replaces standard review methods.

Manage multiple local CLI agents via tmux sessions including starting, stopping, monitoring, and assigning tasks within an explicitly authorized workspace. This skill enables parallel execution, log tailing, and task assignment for automated workflows. Requires tmux and python3 installation. Use for orchestrating local agent infrastructure and verifying task completion without automatic scheduling.

Optimize multi-agent systems through coordinated profiling, workload distribution, and cost-aware orchestration. This skill helps improve agent performance, throughput, and reliability by identifying bottlenecks in workflows. It covers context window optimization, parallel execution strategies, and cost management for LLM usage. Suitable for engineering complex AI workflows requiring high efficiency and stability.

This skill guides users to configure and orchestrate parallel AI agents using the standalone Antigravity 2.0 Agent Manager alongside the Antigravity IDE. It covers installation, dual-workspace setup, and coordinating agent execution for front-end and back-end projects. Best practices include enforcing folder-level boundaries to prevent conflicts and using Git for synchronization.

This skill specializes in creating realistic mock services for development, testing, and demonstration purposes. It simulates real API behavior to enable parallel development and facilitate thorough testing. Use it for building mock APIs for frontend or integration testing, simulating partner APIs, creating demo environments, and validating API contracts before backend completion. Avoid using for production systems or security testing.

Automate Asana tasks, projects, sections, teams, and workspaces via Rube MCP (Composio). Includes workflows for task management, project organization, team management, and parallel operations.

Comprehensive guide for Azure Batch SDK in Java. Learn to create pools, jobs, tasks, and manage compute nodes for large-scale parallel and HPC workloads. Includes client setup, pool/job/task operations, autoscale, and code examples.

Extract text and data from many files at once with shared config, per-file overrides, bounded parallelism, and error recovery. Supports PDFs, DOCX, XLSX, and more, with JSON or text output for LLM ingestion.

Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling. Ideal for building high-performance game logic and optimizing data-oriented architectures.

BrowserAct is a browser automation CLI for AI agents, enabling real browser interaction, JavaScript-rendered extraction, screenshots, network capture, parallel sessions, verification handling, and human handoff. Ideal for tasks requiring authenticated state, dynamic content, or multi-session isolation.

This skill enables parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, or unexplained failures. It deploys four specialized sub-agents to analyze reproduction, code paths, recent changes, and proof plans simultaneously. The main agent synthesizes findings into ranked hypotheses without editing files. Ideal for diagnosing complex software issues efficiently.

Configure CircleCI 2.1 workflows, orbs, executors, caching, workspaces and parallelism for building, testing and deploying applications. Covers approvals, scheduled runs, branch filtering and secrets contexts.