Skill UI

This skill generates a comprehensive issue report on the current challenges, limitations, and open problems within Japanese Natural Language Processing (NLP) for a specified topic. By combining knowledge from a curated local dataset with real-time web search, it provides a deep dive into ongoing research gaps, evaluating the state-of-the-art and recommending areas for future work.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

This skill converts complex, narrative technical documents, research excerpts, or natural language problem descriptions into a highly structured Mathematical Problem Specification (MPS). It systematically extracts variables, constraints, objectives, and uncertainty parameters. By adhering to a strict Zero-Inference Protocol, it ensures all extracted elements are strictly grounded in the source text, making it invaluable for formalizing real-world optimization, data science, and engineering problems.

This profile acts as a narrative and synthesis partner, focusing on articulating the 'why' behind decisions rather than just the 'what.' It specializes in creating clear, structured written artifacts, refining design notes, and synthesizing complex tradeoffs. Wiggins helps ensure that the intent aligns with the execution, adjusting the explanation level and framing to suit any mixed audience, from engineers needing mechanisms to leaders needing implications.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

This skill provides comprehensive financial oversight for internal R&D programs and portfolios. It facilitates multi-period budget planning, applying indirect F&A rates, and tracks critical metrics like burn rate and runway against value-inflection milestones. It also supports the capitalization vs. expense determination process based on established accounting standards (IAS 38/ASC 730). Crucially, the tool only provides decision support and never books entries or determines final accounting treatment.

Send a text or iMessage to the user's phone when a long-running task, agent turn, or scheduled job completes. Useful for unattended builds, deploys, migrations, and Claude Code stop hooks.

Polis Protocol transforms static AI agent workflows into a self-improving, dynamic team environment. It uses a learning router to assign tasks based on an agent's historical track record and effectiveness on specific domains, rather than fixed roles. It is vendor-agnostic, allowing diverse agents (e.g., Claude, Gemini) to collaborate under a unified, auditable governance structure where agents can propose and vote on amending the protocol's core rules.

A comprehensive reference guide detailing best practices, rules, and optimizations for building high-performance React Native and Expo applications. It covers critical areas such as list virtualization, complex animations, UI patterns, state management, and monorepo structure, helping developers avoid common pitfalls and maximize app speed and stability.

A comprehensive guide for implementing view transitions in React and Next.js. Learn how to animate UI states, shared element animations, and route changes using the native ViewTransition API. Covers best practices for maintaining spatial continuity and adapting to different navigation contexts.

This skill provides a comprehensive playbook for setting up and orchestrating multi-agent systems using the standalone Antigravity 2.0 Agent Manager alongside the Antigravity IDE. It guides developers on creating a dual-window workspace to coordinate specialized AI agents (e.g., front-end, back-end, QA) to work in parallel on a single codebase, significantly boosting development efficiency and managing concurrent code changes.

A powerful command-line utility that transforms virtually any website into a structured CLI command. By utilizing OpenClaw's browser, it allows users to scrape and extract structured data (such as JSON) from over 36 platforms—including social media, finance, and developer communities—directly from the terminal. This tool eliminates the need for complex scraping code or browser extensions, making web data accessible via simple one-liners.