Skill UI

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.

Expert guidance on AWS CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates for maintainability, cost, and safety.

This skill enables non-interactive execution of the Antigravity CLI for coding tasks. It involves setting the working directory, checking CLI availability, and running tasks via JSON output format. Users must handle authentication separately and respect permission settings. It parses JSON status fields to determine success or failure. Safety measures include avoiding interactive modes, not handling credentials, and managing file permissions within the workspace. Use this when delegating coding work to Antigravity.

This skill enables non-interactive execution of Qwen Code for coding tasks within the Code Mate environment. It involves setting the working directory, verifying tool availability, and running specific commands with JSON output format. Users should delegate coding work to Qwen Code using this method. Authentication and permissions must be configured properly, avoiding credential exposure. It supports restricted approval behavior and limits tool calls for safety.

This skill enables orchestrating agents to delegate bounded coding tasks to the OpenAI Codex CLI. The orchestrator drafts the brief, runs the command, and maintains full responsibility for reviewing diffs and committing changes. It prioritizes safety by preventing automatic commits, requiring explicit user requests and manual gate verification.

This skill provides production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges. It covers systematic crypto business development, including multi-chain scanning, token scoring systems, wallet forensics for safety verification, and managing outreach pipelines with human oversight. Built from real-world experience, it teaches LLM cascade patterns and on-chain identity registration.

This skill provides language-specific super-code guidelines for Dart programming. It covers idiomatic patterns for null safety, collections, classes, async/await, and error handling. It also includes Flutter-specific patterns and anti-patterns to avoid. Use this when writing clean, efficient, and maintainable Dart code for applications or Flutter interfaces.

Delegate bounded work to other AI agents while preserving context, file ownership, and progress checks. Covers agent selection, structured prompts, polling, remote VPS safety, and driving interactive CLIs.

Diagnose Android overheating, idle heat, thermal throttling, charging or radio heat, and abnormal battery drain using read-only ADB evidence and approval gates. Includes safety stops and controlled comparisons.

This skill rewrites user prompts to reduce false-positive safety triggers in AI models without bypassing policies or altering intent. It specifically targets cyber, bio/chem, and reasoning classifiers by abstracting sensitive domains and reframing offensive language into defensive equivalents. Useful for developers and researchers needing to test or discuss sensitive topics within safety guardrails.

Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls to identify gaps and recommend corrective actions.

Automates installation, configuration, verification, repair, update, and uninstallation of Hyprland on Fedora Linux, with GPU-aware detection for NVIDIA, AMD, and Intel. Includes safety measures like backups and explicit user consent.