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SkillsMP は stanfish06/skillquarium から 1,211 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
stanfish06/skillquarium収集済み skill 1,211 件中 40 件を表示しています。
Use when running classical protein-ligand docking with AutoDock Vina, smina, or GNINA, including receptor or ligand preparation, search-box setup, docking, pose analysis, virtual screening, affinity scoring, or GNINA rescoring of DiffDock poses. Trigger terms…
原文の言語: 英語
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
原文の言語: 英語
Medical imaging deep learning with MONAI, PyTorch, pydicom, pathml, histolab, and napari-viz. Use for segmentation, classification, registration, transforms, sliding-window inference, NIfTI/DICOM workflows, medical image datasets, and reproducible clinical…
原文の言語: 英語
Produce an Earnings Call Summary HTML report for 2–5 companies using Moody's GenAI MCP tools. Use this skill whenever the user asks to summarize earnings calls, generate an earnings call summary, analyze earnings transcripts across peers, or create an…
原文の言語: 英語
Produce a comprehensive Issuer Brief HTML report for a company using Moody's GenAI MCP tools. Use this skill whenever the user asks to create an Issuer Brief, company profile report, credit memo, investment book, or comprehensive company analysis. Also…
原文の言語: 英語
Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers, run a peer analysis, do a credit peer comparison, generate a peer group…
原文の言語: 英語
Produce a Rating Pitch Report for a company using Moody's GenAI MCP tools, delivered as a self-contained HTML file saved to disk. Use this skill whenever the user asks to create a rating pitch, rating pitch deck, credit pitch, rating presentation, rating…
原文の言語: 英語
Produce a Sector Brief HTML report for any industry sector using Moody's GenAI MCP tools and web research. Use this skill whenever the user asks to analyze a sector, write a sector report, do an industry analysis, create a sector overview, or generate a…
原文の言語: 英語
3D Morph PPT — extends morph-ppt with GLB model insertion, cinematographic camera, model-content layout, and enriched visual design system.
原文の言語: 英語
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style continuous motion, shapes that grow / move / rotate as the slide advances. Trigger on: 'morph', 'morph transition', 'smooth transition',…
原文の言語: 英語
Aggregates QC reports from any bioinformatics tool outputs (FastQC, fastp, STAR, Picard, samtools, etc.) into a single MultiQC HTML report plus a ClawBio markdown summary with per-sample QC metrics.
原文の言語: 英語
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management…
原文の言語: 英語
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range,…
原文の言語: 英語
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection,…
原文の言語: 英語
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and…
原文の言語: 英語
Build a complete Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, figure legends, or reading notes. Use for journal club, group meeting, thesis seminar, paper sharing, conference or defense decks, and Chinese…
原文の言語: 英語
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a…
原文の言語: 英語
Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make…
原文の言語: 英語
Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Use for reviewer comments,…
原文の言語: 英語
Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal. Use when the user wants a pre-submission review, reviewer report, peer-review style critique, novelty/significance/technical soundness assessment,…
原文の言語: 英語
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, related-work, method,…
原文の言語: 英語
Build, run, and debug Nextflow data pipelines and nf-core workflows end to end. Use whenever the user mentions Nextflow, nf-core, .nf files, nextflow.config, DSL2, processes/channels/operators, samplesheets, or wants to run a community pipeline (e.g.…
原文の言語: 英語
Wrapper skill for running nf-core/rnaseq bulk RNA-seq preprocessing from FASTQ or BAM inputs with strict preflight, reproducibility outputs, and downstream handoff to ClawBio bulk RNA-seq DE skills.
原文の言語: 英語
The core command-line NGS workhorses for going from raw reads to variants — bwa-mem2/minimap2/bowtie2 (alignment), samtools (BAM sort/index/stats/view), bcftools (VCF call/filter/normalize/query), GATK4 (BQSR, HaplotypeCaller, best practices), and plink2…
原文の言語: 英語
A Just-In-Time (JIT) compiler for Python that translates a subset of Python and NumPy code into fast machine code. Developed by Anaconda, Inc. Highly effective for accelerating loops, custom mathematical functions, and complex numerical algorithms. Use for…
原文の言語: 英語
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you…
原文の言語: 英語
Use this skill to build academic-style .docx output: journal / conference / thesis chapters carrying formal citation style (APA, Chicago, IEEE, MLA), numbered equations, figure & table cross-references, footnotes/endnotes, bibliography, or multi-column…
原文の言語: 英語
Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics…
原文の言語: 英語
Use this skill any time a .docx file is involved -- as input, output, or both. This includes: creating Word documents, reports, letters, memos, or proposals; reading, parsing, or extracting text from any .docx file; editing, modifying, or updating existing…
原文の言語: 英語
Use this skill when the user wants to build a financial model — 3-statement model, DCF valuation, LBO, SaaS unit economics, sensitivity / scenario analysis, debt schedule, or fundraising projections — in Excel. Trigger on: 'financial model', '3-statement…
原文の言語: 英語
Use this skill when the user is building a fundraising / investor pitch deck — seed, Series A / B / C, convertible note, SAFE round, strategic raise. Trigger on: 'pitch deck', 'investor deck', 'Series A deck', 'Series B deck', 'Series C deck', 'fundraising…
原文の言語: 英語
Use this skill any time a .pptx file is involved -- as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file; editing, modifying, or updating existing…
原文の言語: 英語
Create, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.
原文の言語: 英語
Use this skill any time a .xlsx file is involved -- as input, output, or both. This includes: creating spreadsheets, financial models, dashboards, or trackers; reading, parsing, or extracting data from any .xlsx file; editing, modifying, or updating existing…
原文の言語: 英語
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
原文の言語: 英語
Give coding agents the actual source code of any dependency. `opensrc path <pkg>` shallow-clones a package at the right version and caches it locally, printing a path you can grep/read — for npm, PyPI, crates.io, and GitHub/GitLab/Bitbucket repos. Use when…
原文の言語: 英語
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor…
原文の言語: 英語
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image,…
原文の言語: 英語
Hyperparameter optimization (HPO) for ML models using Optuna. Use when tuning learning rate, regularization, architecture choices, or any numeric/categorical hyperparameter. Covers create_study/optimize quickstart, sampler selection (TPE, CMA-ES, grid,…
原文の言語: 英語
The workhorse library for in-memory tabular data in Python. Use for loading, cleaning, reshaping, joining, grouping, and analyzing labeled row/column data. Trigger terms include "pandas", "dataframe", "series", "csv", "parquet", "tabular data", "groupby",…
原文の言語: 英語