Skill UI

Automates searching the web for technical insights and packing them into clear GitHub issues so teams can immediately act on findings. Trigger it when you need research translated into tracked work or security/feature tickets.

Build robust, event-driven integrations with Exa using scheduled monitoring and content alerts. This skill allows users to establish competitive intelligence pipelines, track content changes over time, and automate research digests. It supports new article detection, similarity monitoring, and reliable webhook delivery via background queues.

This skill enables the development of robust, event-driven pipelines interacting with the Perplexity Sonar API. Since Perplexity lacks native webhooks, this system simulates event patterns using advanced techniques: Streaming Server-Sent Events (SSE) for real-time data, job queues (like BullMQ/SQS) for asynchronous batch research, and cron-triggered monitoring for scheduled news and trend alerts. It provides patterns for building complex, reliable, and scalable AI applications.

A robust Python client wrapper for interacting with the Zotero Web API v3. This skill allows users to programmatically manage academic references, including retrieving, creating, updating, and deleting items, collections, tags, and attachments. Ideal for academic researchers building automated workflows, bulk exporting citations (e.g., BibTeX), or integrating Zotero data into larger research applications.

Parallel Web Research skill orchestrates Parallel Chat and Extract APIs to search the internet, perform deep intelligence work, and craft cited summaries, with model controls, JSON outputs, and citation verification for market, news, technical, and general queries.

This tool analyzes Web Application Firewall (WAF) logs (ModSecurity, AWS WAF, Cloudflare) to detect sophisticated SQL injection attack campaigns. It parses diverse log formats, identifies common SQLi payloads (UNION SELECT, OR 1=1), correlates multi-stage attacks, tracks source IPs, and generates detailed incident reports classified by OWASP standards for SOC analysts and security researchers.

This script is designed for malware analysis, specifically targeting .NET-based Remote Access Trojans (RATs) like Agent Tesla. It automatically extracts embedded and obfuscated configuration data, including SMTP credentials, FTP endpoints, Telegram tokens, and C2 webhooks. It utilizes advanced techniques such as regex pattern matching, Base64 decoding, and simulating XOR/SHA256 decryption to reveal critical threat intelligence for security research.

Pyzotero is a powerful Python wrapper for the Zotero Web API v3. It enables developers to programmatically interact with Zotero libraries, allowing for CRUD operations on items, collections, tags, and attachments. Use this skill to build robust research automation workflows, manage bibliographic references, export citations (e.g., BibTeX), or perform bulk data processing within a Zotero environment.

A comprehensive playbook detailing expert-level techniques for exploiting web cache vulnerabilities. Covers both Web Cache Deception (stealing authenticated user data) and Web Cache Poisoning (injecting malicious content). Techniques include path confusion, unkeyed header manipulation (X-Forwarded-Host), and exploiting CDN/reverse proxy caching logic. Essential reading for penetration testers and security researchers.

This skill helps users discover alternatives, equivalents, or related tools/models/datasets for a specified Japanese NLP resource (GitHub repo, Hugging Face model, or tool). It first checks a bundled dataset and then expands the search via web research across GitHub and Hugging Face, providing a comprehensive list of related resources.