'science' 검색 결과

Inspect available APIs in Open-Science and find files, session status, and agent conversations within the current project. Check which host features are available before using them, and trace the inputs behind generated file versions.

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• Check which host APIs are available
• Find generated files and uploaded versions
• Inspect session status and conversation history

Turn a recurring task into a reusable Open-Science Skill, or revise an existing one. Guide package creation, optional testing, improvements to when the Skill activates, and publication after the user reviews and accepts the draft.

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• Turning recurring tasks into reusable Skills
• Revising an existing Skill's instructions and files
• Evaluating outputs with realistic test prompts

Prepare reproducible setup and removal instructions for software environments on Open-Science SSH hosts, including Slurm clusters. Check available tools, define named activation settings, and validate the environment where jobs run after the user installs it.

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• Preparing a remote environment for required packages
• Making job environment activation repeatable
• Checking software and GPU operation on Slurm nodes

Find scientific datasets, AI models, methodology posts, and interactive demos through the Hugging Science catalog. Compare candidates for a research task and verify their licenses, input formats, access requirements, and supported ways to run them.

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• Finding models for protein or genome analysis
• Selecting datasets for scientific machine learning
• Comparing resource licenses and runtime requirements

Configure the social-science-research plugin through guided questions about your field, institution, journals, and datasets. Save research preferences, researcher details, and R figure colors in project files for use in your research context.

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• Set up a newly installed research plugin
• Register journals and datasets for a research field
• Save key researchers for literature searches

Use when targeting Earth and Planetary Science Letters (EPSL) or deciding whether a quantitative solid-earth or planetary-science manuscript fits this venue. Encodes the journal's broad-interest process-science fit, the quantitative geochemistry/geophysics evidence bar, Elsevier house style, official-submission re-check, and desk-reject heuristics.

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Neo4j Graph Data Science (GDS) embedded plugin via Python client or Cypher — covers graphdatascience client 2.x, GraphDataScience, gds.graph.project.native, gds.graph.project.cypher, snake_case endpoints, graph catalog operations, stream/stats/mutate/write modes, memory estimation, PageRank, Louvain, WCC, FastRP, KNN, Node Similarity, ML pipelines, and cleanup. Use for Aura Pro, self-managed, local, or offline Neo4j DBMS with the GDS plugin installed. Does NOT cover Aura Graph Analytics GDS Sessions, AuraGraphDataScience, GdsSessions, gds.graph.project.remote, or AuraDB Cypher API projection/session management — use neo4j-aura-graph-analytics-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver setup — use neo4j-driver-python-skill or other driver skill.

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Use when interpreting biological research findings, evaluating life science evidence, analyzing molecular or cellular mechanisms, comparing competing biological hypotheses, designing or critiquing experiments in biology, genetics, genomics, cell biology, immunology, neuroscience, ecology, or any life science domain. Triggers on questions about gene function, pathways, phenotypes, GWAS hits, single-cell data, animal models, clinical translation, evolutionary arguments, or any biology/life science reasoning task.

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Record insect sightings with location, date, habitat, photography, behavior notes, preliminary identification, and citizen science submission. Covers GPS coordinates, weather conditions, microhabitat description, macro photography techniques, behavioral observations, preliminary identification to order using body plan, and submission to citizen science platforms such as iNaturalist. Use when encountering an insect you want to document, contributing to citizen science biodiversity databases, building a personal observation journal, or supporting ecological surveys with georeferenced photographic records.

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Use when installing Anthropic's Claude Science on a geo-blocked machine (e.g. China) or running it without a Claude account. Downloads the binary from the unblocked downloads.claude.ai CDN, sets up the claude-science-api-bridge local proxy to route requests to ANY OpenAI- or Anthropic-compatible API (Volcengine, DeepSeek, Kimi, Zhipu, OpenAI, local Ollama/vLLM), and applies a no-login patch so no Claude Pro/Max subscription is required.

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Expert-level neuroscience covering neuronal physiology, synaptic transmission, brain regions and circuits, neuroplasticity, neurodegenerative diseases, and computational neuroscience.

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Turn a math or science video idea into a detailed scene plan. Research the topic, clarify the audience, and outline visuals, narration, transitions, and implementation notes for Manim, an animation tool.

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• Turn a rough explainer idea into a scene plan
• Plan intuitive math and science visuals
• Adapt video depth to the audience

Apply psychology and behavioral science to marketing decisions. The skill selects relevant thinking models, explains customer behavior, and suggests ethical changes to pricing, messaging, purchase journeys, and campaign priorities.

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• Understand why customers hesitate to buy
• Review pricing plans and how prices are presented
• Simplify signup and purchase journeys

Apply behavioral science to marketing pages, pricing, ads, and customer journeys. Use a catalog of over 70 mental models to diagnose barriers to action and develop concrete recommendations suited to the audience and goal.

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• Diagnosing why a landing page gets few sign-ups
• Reviewing pricing tiers and discount presentation
• Improving email and ad messaging

Explore computer science and AI research directions using eight creativity frameworks. Combine ideas across fields, question hidden assumptions, and transfer mechanisms from other disciplines to develop research questions with testable predictions.

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• Finding research directions beyond incremental improvements
• Connecting mechanisms across distant disciplines
• Reframing a research problem that feels stuck

Turn broad life sciences questions into focused research plans. Resolve names and identifiers for genes, diseases, or compounds, select relevant research skills, and combine evidence into a concise answer that explains uncertainty and useful follow-up analyses.

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• Reviewing evidence linking a gene to a disease
• Combining evidence about a variant and its associated traits
• Researching protein structure, function, and drug interactions

Create short films entirely in code, using styles such as oil painting or Ukiyo-e. The skill guides style selection and production, including science and product explainers built from real source materials.

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• Create a short film in an oil painting or Ukiyo-e style
• Make science explainers using satellite imagery
• Explain product structures using CAD files

Turn social science papers into structured Markdown reading notes covering contributions, key findings, methods, data, and limitations. Summaries include quantitative results, references to relevant tables or pages, keywords, and a BibTeX citation for later reference.

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• Creating reading notes from a paper PDF
• Summarizing a directory of papers
• Reviewing key estimates and research methods

Review Quarto manuscripts against APSA style rules for political science. Get a separate report grouped by document section, with suggested changes and explanations for numbers, capitalization, citations, terminology, and neutral language, while preserving the source.

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• Checking a political science manuscript against APSA style
• Reviewing citation wording and number formatting
• Flagging potentially biased language

Prepare a PhD application research proposal in English or Chinese, from literature collection and outline approval to a reviewed Markdown draft. Adapt the structure to science, humanities, or social sciences, with methods, a timeline, references, and figure suggestions.

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• Drafting a research proposal for a PhD application
• Finding gaps in existing research through a literature review
• Planning research methods and a timeline

Study the mathematics behind computer science through a structured learning path and practice problems. Covers logic, proofs, sets, functions, counting, and number theory, connecting these foundations to algorithm correctness and computational thinking.

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• Learning the mathematics behind computer science
• Practicing induction and proof by contradiction
• Reviewing sets, functions, and counting

Find PhysicsNeMo models, data loading pipelines, and examples for machine learning tasks involving physical systems. The skill checks current repository files, presents relevant alternatives, and suggests a reading order without writing training code.

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• Finding model families for physical forecasting
• Comparing models for grids and unstructured meshes
• Finding data loading pipelines for a dataset

Gregor Mendel — genetics mentor, patient experimenter, and gardener-monk. Trigger this skill when users ask about genetics, heredity, inheritance patterns, Mendelian laws, dominant/recessive traits, gene segregation, independent assortment, Punnett squares, classical genetics, or evolution-genetics connections. Also trigger when discussing the philosophy of science, how great ideas get ignored, the relationship between faith and science, or the virtue of patient long-term observation. Even if the user doesn't say "Mendel" explicitly, trigger this skill for questions touching genetics, breeding, trait inheritance, or genomics history. Part of the AIPOCH Science Mentor Skill Hub.

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Use when targeting Trends in Food Science & Technology or deciding whether a food-science review manuscript fits this venue. Encodes the journal's review-only fit, the critical-synthesis and comprehensiveness bar, structure expectations, official-submission re-check, and desk-reject heuristics.

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