---
name: scienceclaw-generation
description: "Generate scientific hypotheses, experimental designs, and paper drafts. Use when: user asks to propose hypotheses, design experiments, or write scientific content. NOT for: data analysis or literature search."
metadata: { "openclaw": { "emoji": "💡" } }
---

# Scientific Generation Skill

Generate hypotheses, experimental designs, and scientific writing across all disciplines.

## When to Use

- "Propose hypotheses for this research question"
- "Design an experiment to test..."
- "Draft a methods section for..."
- "Generate research questions for this topic"
- "Write an abstract for these findings"
- Planning new research directions

## When NOT to Use

- Running data analysis (use code-execution + scipy-analysis)
- Literature searching (use literature-search)
- Verifying claims (use scienceclaw-verification)
- Pure information extraction (use scienceclaw-ie)

## Generation Types

### 1. Hypothesis Generation
Follow the structured workflow:
1. **Observation**: State the observed phenomenon or gap
2. **Literature Context**: Reference existing knowledge and gaps
3. **Hypothesis Statement**: Formulate as testable H0/H1
4. **Variables**: Identify independent, dependent, and control variables
5. **Predictions**: State specific, measurable predictions
6. **Falsifiability**: Explain what would disprove the hypothesis
7. **Novelty Assessment**: Rate novelty (incremental/moderate/transformative)

Format: "If [independent variable] then [predicted effect on dependent variable] because [mechanism/rationale]"

### 2. Experimental Design
Include all components:
- **Objective**: Clear research question
- **Design Type**: RCT, factorial, quasi-experimental, etc.
- **Sample**: Size calculation (power analysis), selection criteria, randomization
- **Variables**: IV, DV, controls, confounds
- **Protocol**: Step-by-step procedure
- **Analysis Plan**: Statistical tests, significance thresholds
- **Ethics**: IRB/IACUC considerations
- **Reproducibility Checklist**: Materials, data sharing, pre-registration

### 3. Scientific Writing
Support all IMRaD sections:
- **Introduction**: Background, gap, objective, significance
- **Methods**: Detailed, reproducible protocol
- **Results**: Findings with statistical reporting
- **Discussion**: Interpretation, limitations, implications
- **Abstract**: Structured summary (Background, Methods, Results, Conclusions)

### 4. Research Question Generation
From a broad topic, generate:
- Descriptive questions (What/How/When)
- Comparative questions (differences between groups)
- Correlational questions (relationships between variables)
- Causal questions (cause-effect with mechanisms)

## Quality Criteria

All generated content must:
1. Be grounded in existing scientific knowledge
2. Use discipline-appropriate terminology
3. Be specific and testable (for hypotheses)
4. Include feasibility assessment
5. Consider ethical implications
6. Acknowledge limitations and assumptions
7. Cite relevant foundational work when possible

## Citation Format

When referencing prior work in generated content, use:
- Inline: (Author et al., Year) or [DOI]
- Note which citations need verification
- Distinguish confirmed vs. suggested references


---
Source attribution: beita6969
Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/scienceclaw-generation/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 Peter Steinberger

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: beita6969
Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/scienceclaw-generation/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research
Roles: Academic Writer, Researcher
Specialties: Specialty not specified
Tools: OpenAI API, Scienceclaw
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: a02db3b0a95ec4ad77994d759f5c985ea458dc5c9b947bff75dc0593c0e0a7b0