Skill UI

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

A specialized intelligence tool for comprehensive patent prior-art and landscape analysis. Unlike generic searches, this skill forces commitment to one of five critical sub-use-cases (Novelty Search, Freedom-to-Operate, Competitive Landscape, etc.) before conducting searches across major patent databases (Google Patents, Espacenet, USPTO). It outputs a detailed, editable report containing claim-aware analysis, risk flags, and strategic recommendations.

This skill serves as a sophisticated research orchestrator, functioning as a hybrid router. It deterministically classifies complex user queries and routes them either to specialized domain modules (e.g., trend analysis, academic literature review, patent search, or entity dossiers) or executes a robust fallback general search workflow. The system always maintains transparency regarding the routing decision, yielding comprehensive, cited reports in markdown or .docx format.

The Brain Imaging Data Structure (BIDS) is a community standard defining a consistent file naming convention and directory hierarchy for organizing diverse neuroscientific and biomedical datasets. This skill helps users manage, validate, query, and convert various modalities (MRI, EEG, PET, behavioral, etc.) into a standardized, shareable format, ensuring data integrity for research and publication.

A dedicated skill for performing manual data synchronization and knowledge recall with OpenViking. It allows users to explicitly trigger chat transcript syncing from OpenClaw sessions and perform targeted memory searches via command line, without disrupting normal conversation flow or occupying the standard context engine slot.

This skill provides a comprehensive, reproducible workflow for performing matched tumor-normal analysis using nf-core/pacsomatic. It manages the entire computational lifecycle, including input validation, generating pacsomatic-compliant samplesheets, creating Nextflow launch artifacts, executing locally, or submitting to specialized schedulers (Slurm, LSF). It is essential for dry-run checks and troubleshooting complex bioinformatics pipeline failures.

This skill orchestrates a complete, reproducible pipeline for bulk RNA-seq differential expression analysis. It guides users from raw FASTQ reads through QC, trimming, alignment (STAR/Salmon), quantification, generating a gene-level counts matrix, and concluding with differential expression analysis (DESeq2) and pathway enrichment. It ensures statistical soundness and reproducibility by connecting dedicated tools and enforcing proper experimental design.

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.

The official skill collection for Longbridge Securities, offering over 125 agent skills. It provides comprehensive financial analysis across multiple markets (HK, US, A-share, SG), including real-time quotes, advanced charting, company fundamentals, portfolio management, and options analysis. Supports trilingual interaction (Simplified/Traditional Chinese/English), making it an essential resource for global investors and financial analysts.

Nextflow is a powerful workflow language and runtime for building reproducible, portable, and scalable data pipelines. It is dominant in bioinformatics, enabling complex dataflow programming and managing workflows across diverse environments, including local machines, HPC clusters (SLURM), and cloud platforms (AWS, Azure). This skill covers the full lifecycle: running established pipelines (like nf-core), developing custom modular workflows, configuring containerization, and ensuring computational reproducibility.

This skill performs advanced pathway and gene-set enrichment analysis crucial for interpreting gene lists (e.g., DE genes, screen hits). It distinguishes between Over-Representation Analysis (ORA) for thresholded lists and Gene Set Enrichment Analysis (GSEA) for full ranked lists. Supports scoring pathway activity (ssGSEA/GSVA) and utilizes major databases like GO, KEGG, Reactome, and MSigDB for comprehensive biological interpretation, ensuring publication-ready results.

This skill processes raw weekly CRM export files (CSV) to generate a clean, structured regional sales summary. It automatically removes duplicate records, calculates the total revenue for each defined region, and outputs the results as a standardized JSON object. Ideal for automating reporting pipelines or preparing data for dashboards.