Skill UI

Astro is a modern web framework designed specifically for building high-performance, content-heavy websites like blogs, documentation sites, and portfolios. Its core innovation is the Islands Architecture, which ships zero JavaScript by default, drastically improving performance and Core Web Vitals. It supports multi-framework components (React, Vue, Svelte) in a single project, making it ideal for content developers prioritizing speed and flexibility.

A comprehensive guide to diagnosing and resolving performance bottlenecks in React applications. This skill teaches advanced techniques like state isolation, memoization (using `useMemo`, `useCallback`, and `React.memo`), and list virtualization. It guides users through profiling using React DevTools to identify render hotspots, ensuring components render efficiently and maintain high application responsiveness.

Monitors Certificate Transparency logs via crt.sh and direct RFC 6962 API calls to spot unauthorized issuances, track CAs, discover subdomains, and alert on suspicious TLS certificates for owned domains.

Trace every user-facing button or touchpoint to ensure the final UI state matches its label by mapping state stores, analyzing handler call sequences, and spotting conflicts like silent undos or race conditions after refactors.

Automatically detects typosquatting in npm and PyPI by generating candidate variants from popular dependencies, querying each registry, and scoring matches with Levenshtein distance, publication recency, and download anomalies so teams can flag suspicious packages before installation.

Run inspect-ai or lighteval evaluations on Hugging Face Hub models locally, guiding backend choice, smoke tests, and GPU fallbacks before handing off remote tasks.

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.

Provides REST API access to PubMed for building advanced Boolean/MeSH queries, filtering by publication details, and programmatically fetching citations through E-utilities, making it ideal for systematic reviews and automated literature workflows.

AgentPhone is an API-first platform designed for developers building AI agents with advanced telephony capabilities. It allows agents to manage phone numbers, make/receive voice calls, and handle SMS messages. Developers can utilize hosted mode for simple AI interactions or webhook mode for custom, complex logic, making it ideal for building sophisticated customer support bots or virtual assistants.

A comprehensive solution for systematically auditing dataset health. It profiles data distributions, detects missing values (MCAR/MAR/MNAR), identifies outliers using multiple methods (IQR, Z-score), and calculates a Data Quality Score (DQS). It provides actionable remediation plans and supports monitoring setup for live pipelines.

Guides calling Feishu IM APIs to retrieve chat histories, thread replies, cross-chat searches, and media/file downloads while handling pagination, time filters, and permission constraints so agents can answer questions about past conversations.

Guides copy, UX, and pricing work through credible loss-based messaging that highlights the cost of inaction while keeping the tone restrained and ethically grounded.