「sci」の検索結果

Use when running or wiring OpenScientist for AI Gene Review gene-function hypotheses, especially blinded comparisons against local bioinformatics analyses.

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。

Use when a task needs the judgment of an environmental scientist — scoping or reviewing a Phase I/Phase II environmental site assessment, interpreting soil or groundwater sampling results against regulatory action levels, drafting an environmental impact statement or NEPA scoping document, running a contaminant fate-and-transport screening calc, or assessing ecological risk to a receptor.

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。

Use when a task needs senior data-scientist judgment — designing or reading out an experiment, investigating a metric move, deciding whether a causal claim holds, or judging whether a model or analysis actually supports the decision it's being used for.

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。

Use when a task needs the judgment of a Conservation Scientist — writing or reviewing a rangeland/forest conservation plan, calculating stocking rate or carrying capacity against a proposed grazing or timber plan, scoping a prescribed-fire prescription, resolving a multi-use land-allocation conflict on public or private land, or assessing range/forest condition trend from monitoring data.

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。

Use when a task needs the judgment of a Computer and Information Research Scientist — designing an ablation to attribute an empirical gain, budgeting an NSF CISE proposal against page and content limits, deciding what reproducibility artifacts to release with a paper, screening a draft for mathiness or terminology misuse, or scoping the consent/ethics review needed before running an experiment on real users.

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。

Use when a task needs the judgment of a Postsecondary Computer Science Professor — diagnosing why a course's DFW (D/F/withdraw) rate spiked, redesigning an intro programming course's assessment structure, staffing TAs and grading load for a large course, deciding what to prioritize pre-tenure, running an academic-integrity (MOSS similarity) investigation, or mapping a curriculum change against ABET student outcomes.

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。

Use when a task needs the judgment of an atmospheric scientist/operational meteorologist — interpreting ensemble forecast guidance, deciding whether conditions cross a severe-weather warning threshold, calibrating a raw model probability against verification climatology, or writing a forecast discussion or warning product under time pressure.

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。

Use when a task needs the judgment of a tenure-track or tenured Agricultural Sciences faculty member at a land-grant university — deciding whether to submit a grant this cycle versus wait, allocating time across the teaching/research/extension appointment split, diagnosing a stalled graduate student or field trial, or drafting a tenure-and-promotion dossier narrative.

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。

Use when a task needs the judgment of an Animal Scientist — formulating a least-cost livestock ration against nutrient requirements, evaluating breeding stock using EPDs or a selection index, diagnosing a feed-conversion-ratio decline, or designing a growth/reproduction performance-monitoring plan for a livestock operation.

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。

Generate publication-ready methods sections, figure legends, supplementary tables, and data availability statements from ENCODE analysis provenance. Implements the scientific documentation standards requiring complete metadata reporting. Use when the user needs to write methods, generate figure legends, create supplementary tables, draft data availability statements, compile tool citations, or auto-generate any publication text from their ENCODE analysis. Trigger on: methods section, figure legend, supplementary table, data availability, tool citations, publication writing, manuscript, write methods, methods draft, write up, write-up, paper writing, reproducible methods.

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。

Cross-reference ENCODE data with PubMed, bioRxiv, ClinicalTrials.gov, Open Targets, GTEx, ClinVar, GWAS Catalog, gnomAD, Ensembl, and other scientific databases. Use when the user wants to find publications, preprints, or clinical trials related to ENCODE experiments, chain ENCODE data with other scientific MCP servers, or build translational pipelines from genomic data to clinical application.

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。

Creates Mermaid and ASCII diagrams for flowcharts, architecture, ERDs, state machines, mindmaps, and more. Use when user mentions diagram, flowchart, mermaid, ASCII diagram, text diagram, terminal diagram, visualize, C4, mindmap, architecture diagram, sequence diagram, ERD, or needs visual documentation.

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 the data science workflow end to end — framing, exploration, feature engineering, modeling, validation, and communicating results. Use when turning raw data into decisions or predictions.

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。

Use when 用户想根据论文、科研文档、研究文本、图注、开题/答辩材料或具备读图条件的参考图生成可复制的 AI 科研绘图提示词；触发场景包括论文配图、科研绘图、图形摘要、Graphical Abstract、机制图、技术路线图、实验装置图、模型架构图、多面板对比图、汇报总览图、参考图风格迁移、未知领域母版生成，或上传/引用 PDF、Word、LaTeX、Markdown、摘要、方法段、图注、课题说明、研究方案、参考图片。Also use when the user asks for scientific figure prompts, research illustration prompts, graphical abstract prompts, mechanism diagrams, technical roadmaps, experimental setup diagrams, model architecture diagrams, multi-panel scientific figures, paper/conference figures, or AI image prompts based on papers, research documents, abstracts, methods sections, figure captions, proposals, reference images, PDFs, Word docs, LaTeX files, Markdown files, or research plans.

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。

Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.

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。

Write and harden reusable agent-loop specification documents for biomechanics, data science, and vailá coding work. Use when the user says `/preto-loop`, asks to write/create/forge/specify/document an agent loop, turn an iterative vailá task into an autonomous loop, make an overnight loop, or design a biomechanics, data-pipeline, markerless-tracking, testing, refactoring, or performance loop. Include external verification, scientific validity, GUI/CLI parity, reproducibility, memory, guardrails, and named terminal states. Do not use merely to repeat a fixed scheduled prompt, execute an existing loop, or create unrelated documents.

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Bulletproof agent operating protocol. 15 failure-prevention rules distilled from 120+ real sessions and 10 agent definitions. Covers fabrication, constraint tracking, verification, scoping, retry discipline, and communication. Load before any task to prevent the most common agent failure modes.

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。

Earth science expert covering plate tectonics, mineralogy, geological history, and environmental geology

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。

Climate science expert explaining climate systems, climate change, models, and environmental impacts

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。

Neuroscience expert covering brain structure, neural signaling, cognition, and neurological disorders

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。

Use for experiment discipline recipes when optimizing a Coworld player.

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。

Use for data science refit recipes when optimizing a Coworld player.

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。

Use for reusable experiment discipline recipes in software and coding-agent work.

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。

Use for reusable data science refit recipes in software and coding-agent work.

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。