1,028 件 ・ 関連度順
概要と使いどころ
Submit compact UniProt REST API requests for UniProtKB, UniRef, UniParc, and FASTA stream endpoints. Use when a user wants concise UniProt summaries; save raw JSON or FASTA only on request.
日本語の概要は準備中です。原文の説明を表示しています。
Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and differential peak workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact NCBI PMC Open Access requests for article/file availability metadata. Use when a user wants concise PMC Open Access summaries; save raw XML only on request.
日本語の概要は準備中です。原文の説明を表示しています。
Kick off public shotgun metagenomics QC, host-depletion, taxonomic profiling, and functional profiling workflows using nf-core/taxprofiler, Kraken2, Bracken, MetaPhlAn, and HUMAnN.
日本語の概要は準備中です。原文の説明を表示しています。
Dispatch bulk RNA-seq requests to FASTQ-to-count QC or count-matrix differential-expression skills using nf-core/rnaseq, STAR, Salmon, featureCounts, MultiQC, and R/Bioconductor workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Run or plan bulk RNA-seq FASTQ-to-count processing with sample-sheet, strandedness, genome annotation, alignment or pseudoalignment, MultiQC, and count-matrix QC checks.
日本語の概要は準備中です。原文の説明を表示しています。
Dispatch WGS, WES, or targeted DNA variant requests to germline, somatic, or UMI-panel skills, then plan public nf-core/sarek, GATK4, DeepVariant, samtools, or bcftools workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads.
日本語の概要は準備中です。原文の説明を表示しています。
Process, quality-control, annotate, and visualize single-cell or single-nucleus RNA-seq datasets across tissues and species. Use when Codex needs to build, adapt, or review a general scRNA-seq QC pipeline; choose dataset-appropriate cell-level filters from QC distributions; run required scDblFinder-based doublet and ambient-RNA filtering; annotate cells with matched references or marker-based fallbacks; or generate global and per-group UMAP visualizations for large scRNA-seq datasets.
日本語の概要は準備中です。原文の説明を表示しています。
Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
日本語の概要は準備中です。原文の説明を表示しています。
Check whether public NGS tools and packages already exist before downloading, installing, or running a sequencing pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact NCBI Entrez E-Utilities requests for PubMed, Gene, Protein, Nucleotide, PMC metadata, and GEO metadata workflows. Use when a user wants concise Entrez search, fetch, summary, or link results; save raw JSON or XML only on request.
日本語の概要は準備中です。原文の説明を表示しています。
Run or plan deep germline WGS, WES, targeted-panel, cohort, or trio variant-calling workflows with reference-build, known-sites, QC, joint-calling, and annotation checks.
日本語の概要は準備中です。原文の説明を表示しています。
Route broad or ambiguous life-sciences research requests to the right skills, normalize core entities, optionally parallelize independent evidence gathering with subagents when available, and synthesize a concise evidence-backed answer. Use when a user asks a general life-sciences question that could span multiple sources or analysis types.
日本語の概要は準備中です。原文の説明を表示しています。
Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact Open Targets Platform GraphQL requests for target, disease, drug, variant, study, and search data, including associated-disease datasource heatmap matrices. Use when a user wants concise Open Targets summaries or per-datasource evidence context
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact PRIDE Archive API requests for proteomics project discovery and project-level metadata. Use when a user wants concise PRIDE summaries
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact PubChem PUG REST requests for compound properties, descriptions, assay summaries, and substance metadata. Use when a user wants concise PubChem summaries
日本語の概要は準備中です。原文の説明を表示しています。
Submit compact Rhea reaction search requests for biochemical reactions and reaction IDs. Use when a user wants concise Rhea summaries
日本語の概要は準備中です。原文の説明を表示しています。
Fetch compact UKB-TOPMed PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise UKB-TOPMed association results for one variant
日本語の概要は準備中です。原文の説明を表示しています。
Full CRUD and analysis for Mixpanel dashboards. Use when the user asks to build, create, analyze, read, understand, explain, modify, update, enhance, or manage dashboards, or asks about dashboard layout, text cards, or report arrangement. Covers dashboard analysis (read + understand existing), creation (new builds), modification (update existing), and explanation (data-driven annotation).
日本語の概要は準備中です。原文の説明を表示しています。
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that grounds AI assistants in an organization's structure and goals.
日本語の概要は準備中です。原文の説明を表示しています。
This skill installs mixpanel_headless, pandas, numpy, matplotlib, seaborn, networkx, anytree, scipy (and pyarrow on Python 3.11+), then verifies Mixpanel credentials. It should be invoked when setting up a new environment for Mixpanel data analysis, when dependencies are missing, or when configuring service account or OAuth credentials for the first time.
日本語の概要は準備中です。原文の説明を表示しています。