Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.
Plan and control time-step policies for transient simulations — couple CFL and physics-based stability limits with adaptive stepping, ramp initial transients through sharp…
Integrates with TimeDoctor API to pull employee time tracking data, worklogs, statistics, and productivity metrics using simple Python scripts
TimesFM — Time Series Foundation Model de Google Research (22K⭐). Modelo fundacional pre-entrenado para forecasting de series temporales. 100M+ timepoints.
Web research powered by TinyFish search and fetch. Use for any question needing current web information, and for deep research — competitive analysis, literature reviews, lead…
Use when you have LC-IM-MS/MS raw data from multiple tissue samples and need to identify and quantify unsaturated sterol lipids at the isomer level (distinguishing double-bond…
Optimizes manuscript titles and abstracts for information density, factual accuracy, and submission fit in biomedical research writing.
Interviews an unshaped idea into a verdict and a design document - decisions, flows, schema, contracts - that anyone can plan from without having been in the room.
Contribute scientific research findings to the Research Swarm TNBC (Triple-Negative Breast Cancer) mission.
Fast and accurate code statistics tool written in Rust. Counts lines of code, comments, and blanks across 200+ languages, with output in JSON, YAML, or CBOR for programmatic…
Run coding and research tasks with lower token waste by reducing repeated reads, broad rewrites, unnecessary narration, and avoidable re-analysis.
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.
Route shareable Q&A, analysis, review, research, writing, and file-based tasks through a user's visible ChatGPT, Claude, Gemini, or Grok website using Tokenless Playwright…
Use when converting medical text between academic and patient-friendly tones, translating medical jargon for patients, adapting research papers for public audiences, or rewriting…
Research the gear and tone behind a song or artist. Produces a SongProfile.md with sourced gear breakdown, inventory-matched Applied section, and conversational follow-up — from…
Use when performing KYC/UBO research, pre-transaction due diligence, or credit checks on UK-registered companies and their officers.
Day 2 end capstone move of a Foundation Sprint. Compresses the sprint's full strategic frame into a single canonical sentence (the Founding Hypothesis) plus an assumption…
Use when a task requires systematically hunting for authoritative legal data across multiple heterogeneous sources — statutes, regulations, court judgments, official gazettes,…
Use when a user needs premium case law research, statute annotation, or citator verification across US, UK, French, or MENA jurisdictions.
Web Toolbox 市场调研与用户痛点挖掘。通过搜索 Reddit、Hacker News、TikTok、Product Hunt、 Google Trends 等平台，发现高流量在线工具机会、用户吐槽的痛点、竞品流量数据，生成可落地的 新工具建议报告。使用此 skill 当用户提到：(1) 调研新工具机会 (2) 挖掘用户痛点 (3) 分析 竞品流量…
Research-backed CLI tool refresh workflow for updating existing tools with TDD checkpoints and CLI invocation validation.
Senior Technical Reviewer for research objectivity. Enforces the "Documentarian" standard, ensuring all findings are unbiased, evidence-backed, and grounded in code.
Philosophical logic engine for Epsilon Prime. Specializes in analyzing first principles, systemic causality, and the intersection of technology, agency, and morality.
Technical "Documentarian" for codebase analysis. Specializes in mapping existing systems, tracing data flows, and identifying patterns without introducing design changes.
Unity physics patterns including character controllers, collision handling, and tunneling prevention.
Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches.
Provide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs…
AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks…
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research…
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
Production-ready genomics and epigenomics data processing for BixBench questions. Handles methylation array analysis (CpG filtering, differential methylation, age-related CpG…
Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports.
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions.
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect…
Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of…
Comprehensive immune repertoire analysis for T-cell and B-cell receptor sequencing data. Analyze TCR/BCR repertoires to assess clonality, diversity, V(D)J gene usage, CDR3…
Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction.
Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases.
Neuroscience research workflows: neuroanatomy, neural circuits, neurotransmitter biology, neurological/psychiatric disease genetics, neural-protein function.
Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics.
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses…
Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data.
Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance…
PCR / qPCR primer and oligo design — design forward/reverse primers for a target region (SantaLucia nearest-neighbor thermodynamics), compute melting temperature (Tm) and…
Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles.
Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering.
Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles.
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering,…
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models,…
Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels).
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug…
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation for bioinformatics questions.
Use when planning a topic cluster (hub + spokes) for a new content area. The agent researches the space, identifies the hub topic, maps the spokes, and produces a specific content…
Research any topic in exhaustive depth by combining web search, academic papers, social discussions, and community conversations.
Research any topic end to end and get back a fact-checked, branded HTML report plus an agent-readable markdown brief.
Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching.
Use when when you have real LC-MS/MS data (mzML format) from an untargeted metabolomics experiment and want to test how variations in TopN DDA parameters affect which precursor…
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep lear — from…
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep lear — from…
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep lear — from…