Skill UI

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

Prevents AI style drift in legacy projects by scanning codebases for implicit conventions, resolving conflicts with users, and generating enforceable .ai-style-rules.md files with golden files, naming rules, and DONTs. Ideal for onboarding AI agents to hand-written legacy codebases or extracting unwritten coding rules.

This skill provides comprehensive, read-only market intelligence for prediction markets. It helps users research market events, compare different venues (like Polymarket, Kalshi), analyze liquidity, and understand underlying assets. It generates source-grounded briefings, emphasizing context and data quality, and strictly avoids providing investment or trading advice.

Uses the Monitor tool to stream real-time events from a swarm system instead of inefficient polling. It provides live observability for key actions like agent spawns, task completions, memory writes, and health status. This is ideal for continuous monitoring and debugging of complex, distributed processes.

Queries the AIHOT (aihot.news) service to fetch the latest Chinese AI news and trends. Provides real-time updates on AI events, model releases, product launches, and industry headlines. Ideal for users asking about today's AI happenings, daily AI briefings, hot topics, or specific AI subjects like OpenAI, Anthropic, or Google. No API key required, read-only access.

A comprehensive skill for integrating agentic operational flows into the RuView sensing ecosystem (RVF). It allows external agents to read, reason about, and respond to real-time cross-component sensing data, including BFLD events, vitals, and pose estimation. Use cases include automated caregiving responses, complex event negotiation, and maintaining auditable agent state within the sensing data stream.

Provides a comprehensive, step-by-step framework for planning and executing high-impact webinars or virtual events. This tool guides users through defining content structure, developing multi-channel promotion strategies, optimizing registration funnels, designing interactive engagement tactics, and building post-event conversion pipelines, delivering a complete, ready-to-implement execution package.

This skill prevents AI coding agents from generating generic interfaces by leveraging over 800,000 real web and iOS screens. It helps define design contracts, cover required states, and enforce quality gates during design, implementation, or review. Compatible with agents like Cursor, Copilot, and Claude Code, it ensures product-specific UIs grounded in actual user experience rather than hallucinated patterns.

A comprehensive set of reusable patterns for structured incident triage in AWS environments. Includes pre-built Logs Insights queries for detecting errors, latency spikes, cold starts, and OOM events. Also provides systematic correlation methods linking CloudWatch alarms to deployment events, and a decision tree to narrow the blast radius scope from account to resource.

This guide provides structural best practices for writing highly technical academic papers, particularly for top-tier conferences. It teaches authors how to critically distinguish between the core material that must be visible in the main body (for the referee to follow and judge) and the auxiliary details, complete proofs, or routine calculations that can be safely deferred to an appendix. Following this structure prevents common writing pitfalls, such as 'hollow bodies,' ensuring the paper is both highly readable and technically rigorous.

A comprehensive guide for structuring environmental economics manuscripts, specifically tailored for high-impact journals. It teaches authors how to maintain a 'welfare-economics prose' standard, ensuring the crucial link between the environmental problem, the economic mechanism, and the policy implication is clearly and authoritatively presented. This prevents the paper from sounding like advocacy while retaining scientific rigor.

A comprehensive guide for researchers tackling endogeneity in market microstructure. It outlines advanced econometric designs—such as Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), and rigorous event studies—necessary to establish credible causal links between market variables (like liquidity and price impact) and macro-level events for top-tier finance journals.