Skill UI

Search scientific and technical web content with Exa and batch-extract text from webpages or PDFs. Supports scholarly discovery via publication category and academic domain filters for research tasks.

A comprehensive playbook detailing how open redirect vulnerabilities can be exploited. Covers finding redirect parameters, advanced filter bypass techniques (e.g., protocol-relative, userinfo), and complex exploitation chains including OAuth token theft, SSRF, and Tabnabbing.

A comprehensive playbook detailing expert techniques to escape multiple types of restricted environments, including Python pyjail, Docker containers, seccomp filters, and browser rendering processes. It covers advanced exploitation vectors like namespace escapes, kernel exploits, and built-in function bypasses for achieving code execution.

Search over 2500 curated open-source repositories related to ChatGPT, LLMs, RAG, agents, and AI development. This skill helps users find tools, libraries, and frameworks by filtering categories, languages, or keywords. It relies on a bundled database rather than live web searches.

This comprehensive playbook details expert techniques for exploiting Server-Side Request Forgery (SSRF). It covers bypassing URL filters, accessing cloud metadata endpoints (AWS, GCP, Azure), utilizing advanced protocols like Gopher, and chaining vulnerabilities to achieve Remote Code Execution (RCE) in real-world scenarios. Ideal for penetration testers and security researchers.

A comprehensive, advanced playbook for conducting deep network traffic analysis and PCAP forensics. Covers essential skills like PCAP repair, advanced Wireshark filtering (HTTP, DNS, TLS), data extraction (file carving, credential harvesting), and detecting covert channels. It guides users through sophisticated techniques, including TLS decryption workflows and DNS tunneling identification.

This catalog provides essential database abstractions and specialized clients for robust data persistence. It includes core components like DbRegistry, DynamoDBClient, and various filtering utilities. By utilizing these standardized imports, developers can standardize data access logic, ensuring clean code separation, type safety, and scalable architecture in their applications.

This guide provides a comprehensive workflow for searching and retrieving biomedical literature from PubMed and NCBI. It covers advanced query construction using MeSH terms and specific field tags, advanced filtering (date, publication type), and a repeatable programmatic workflow using NCBI E-utilities (esearch, efetch). Essential for researchers conducting systematic reviews and literature monitoring.

This skill provides a scaffold for building complex, composable recommendation, ranking, and feed pipelines. It implements the robust six-stage pattern (Source→Hydrator→Filter→Scorer→Selector→SideEffect), which is the industry standard for determining "top K items." Use it for social feeds, content CMS ranking, RAG reranking, or any system needing complex candidate prioritization.

This skill parses raw, verbose Simplicité log files from TXT format, filtering out noise and extracting only essential fields (e.g., timestamp, level, body). By converting logs into structured JSON, it significantly reduces the token size required for AI context optimization, making troubleshooting efficient and reliable.

This skill guides the creation and maintenance of a `.geminiignore` file. By systematically filtering out machine-generated noise—such as build artifacts, dependency lock files, logs, and caches—it significantly optimizes the AI agent's context window. This process improves processing speed and, critically, reduces token consumption costs (FinOps).

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.