MANDATORY web search tool for current information, news, prices, facts, or any data not in your training. This is THE ONLY way to search the internet in this OpenClaw environment. ALWAYS use this skill when the user asks for web searches or when you need up-to-date information.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Calculates gestational age and follow-up date windows.
Marine and sailing weather via Open-Meteo. Waves, swell, sea temperature, wind, tides, ocean currents, and sailing assessments. Free, no API key, global coverage.
Find flights with Starlink satellite WiFi. Filters to Starlink-equipped airlines only, ranks by WiFi score/price/jet lag, returns affiliate booking links. Use when searching for flights where you need to work on the plane.
Live aircraft tracking — flights in a geographic area, individual aircraft by transponder, and airport arrivals/departures via OpenSky Network
重大疾病理赔智能评估（支持 28 种病种）。输入住院病历结构化数据，调用内网评估接口，输出原始 JSON 与自然语言结论（结论 + 证据）。
Retrieve Aavegotchi NFT data by gotchi ID or name on Base. Returns traits, wearables, rarity scores, kinship, XP, level, and owner data.
基于艾宾浩斯遗忘曲线和访问频率的衰减模型设计的遗忘和归档机制，完全依赖openclaw原生记忆系统的拟人化流体记忆系统
Humanize murine antibody sequences using CDR grafting and framework optimization to reduce immunogenicity while preserving antigen binding. Predicts optimal human germline frameworks and identifies critical back-mutations for therapeutic antibody development.
Map unstructured biomedical text to standardized ontologies (SNOMED CT.
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
Design CRISPR gRNA sequences for specific gene exons with off-target prediction and efficiency scoring. Trigger when user needs gRNA design, CRISPR guide RNA selection, or genome editing target analysis.
Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. Use when users want to identify shared DEGs, common hub genes, cross-disease biomarkers, or shared molecular mechanisms between two diseases using public GEO data. Triggers: "shared biomarker study for two diseases", "dual-disease transcriptomic ML paper", "identify common DEGs between disease A and B", "cross-disease hub gene discovery", "shared DEG + PPI + ROC design", "immune infiltration shared biomarker", or "I want to study disease X and Y together". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
Use when analyzing FASTQC quality reports from sequencing data, identifying quality issues in NGS datasets, or troubleshooting sequencing problems. Interprets quality metrics and provides actionable recommendations for RNA-seq, DNA-seq, and ChIP-seq data.
Recommend optimal flow cytometry gating strategies for specific cell types and fluorophores
