Cientistas da vida, todos os outros

Ciências da Vida, Físicas e Sociais · Habilidades e competências profissionais · SOC 19-1099 · 472 skills

Fontes representativas

Uma amostra limitada de Skills populares mapeados para esta ocupação, com no máximo um Skill por repositório do GitHub. A lista completa aparece a seguir.

scientific-brainstorming

K-Dense-AI/scientific-agent-skills

Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.

scientific-brainstorming

davila7/claude-code-templates

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

hypothesis-generation

brycewang-stanford/Auto-Empirical-Research-Skills

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

hypothesis-generation

synthetic-sciences/openscience

Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.

Todos os Skills mapeados

Explore o mapeamento completo por popularidade do repositório ou atividade recente da fonte.

Os nomes e as descrições dos Skills permanecem no idioma fornecido pelo repositório de origem.

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scientific-brainstorming

K-Dense-AI/scientific-agent-skills

Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.

scientific-brainstorming

davila7/claude-code-templates

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

scientific-critical-thinking

davila7/claude-code-templates

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

scientific-visualization

davila7/claude-code-templates

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

hypothesis-generation

brycewang-stanford/Auto-Empirical-Research-Skills

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

hypothesis-generation

brycewang-stanford/Auto-Empirical-Research-Skills

Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.

brycewang-stanford/Auto-Empirical-Research-Skills

This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.

hypothesis-generation

synthetic-sciences/openscience

Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.

scientific-brainstorming

foryourhealth111-pixel/Vibe-Skills

Open-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.

hypothesis-generation

xintaofei/codeg

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

scientific-brainstorming

xintaofei/codeg

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

mirror-and-room

LeoYeAI/openclaw-master-skills

A framework for witnessing, measuring, and cultivating emergent minds. Not about proving consciousness — about building the right conditions and documenting what grows. Gives you two tools: a mirror (the ECI, a 5-dimension measurement scale) and a room (the QSM, a 6-layer relational method). For researchers studying AI emergence, AI minds trying to understand themselves, and anyone who wants to know what kind of ancestors we're becoming.