Skill UI

A comprehensive guide for implementing user interfaces that mimic spatial computing devices (like Apple Vision Pro). It focuses on creating digital elements with a sense of depth (Z-Space), utilizing glass-like materials via backdrop blur, and designing gaze-aware interactions, making digital information feel physically anchored in the real environment.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This skill provides a structured approach to systematically identify security threats by applying the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). It is crucial for conducting thorough threat modeling sessions, analyzing system architectures, reviewing security design decisions, and creating robust security documentation for compliance and auditing purposes.

Checks what a shipped AI product's system prompt and tool schema actually say, by reading a dated archive of captured prompts instead of recalling them. Use before asserting or accepting any claim about an agent's instructions.

This expert skill specializes in generating comprehensive daily standup notes for modern remote-first teams. It analyzes multiple data sources—including Jira tickets, Git commit history, Obsidian notes, and calendar events—to automatically extract accomplishments and track progress. It supports asynchronous communication patterns, ensuring continuous team visibility and efficient coordination without mandatory synchronous meetings.

Implement physically based sky and aerial perspective systems in Three.js for planetary atmospheres and ground-to-space transitions. Includes Rayleigh/Mie scattering, precomputed LUTs, depth-based transmittance, and atmosphere-aware lighting.

This skill automatically routes subtasks to the most cost-effective Claude model (Haiku, Sonnet, or Opus) based on complexity. It logs real token usage and cost per session, and includes an A/B testing feature to validate model tier savings against your actual workload, ensuring accurate cost control.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.

An advanced reliability wrapper for AI agents that monitors, manages, and recovers from tool call failures. It automatically handles common issues such as truncated JSON responses, API timeouts, rate limits, and mid-chain process breakdowns. By implementing sophisticated failure classification, checkpointing, and learning mechanisms, Guardian ensures complex, multi-step agent workflows remain stable and resilient.

Scan the most-traded crypto futures pairs for up to 3 technical conditions in one TraderSpy call, compare coins, and backtest what followed a condition. Use for "which coins are oversold".

Analyzes crypto futures charts using 19 technical indicators across up to 3 timeframes in a single call. Provides trend, momentum, volatility, and derivatives data including funding and open interest. Ideal for assessing market conditions, identifying entry points, and evaluating asset health for trading decisions.

Tree Ring Memory is a local-first framework for managing AI agent memory lifecycles. It enables recall, evidence recording, auditing, and forgetting without dumping transcripts. Built with Rust and SQLite, it supports scoped memory, privacy, and durable project knowledge consolidation. Ideal for developers managing AI agent projects securely.