Agent skill
nanoresearch-planning
Produce an experiment blueprint from a research hypothesis
Install this agent skill to your Project
npx add-skill https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning
SKILL.md
Planning Skill
Purpose
Take the selected hypothesis from ideation and produce a detailed experiment blueprint specifying datasets, baselines, evaluation metrics, and ablation groups.
Tools Required
None. This skill operates entirely through LLM reasoning over the ideation output.
Input
ideation_output: Path topapers/ideation_output.jsonproduced by the ideation skill
Process
- Parse the selected hypothesis and supporting literature from the ideation output
- Identify candidate datasets that are publicly available and appropriate for validating the hypothesis
- Select 2-4 baseline methods from the surveyed literature for comparison
- Define primary and secondary evaluation metrics aligned with the hypothesis
- Design ablation groups that isolate each novel component of the proposed approach
- Estimate computational requirements and timeline for each experiment
- Compile everything into a structured experiment blueprint
Output
Produces papers/experiment_blueprint.json containing:
- Selected hypothesis (carried forward)
- Dataset specifications (name, source, splits, preprocessing steps)
- Baseline methods with references
- Evaluation metrics and success criteria
- Ablation study design (groups, variables, expected outcomes)
- Resource estimates and experiment schedule
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint
nanoresearch-ideation
Search academic literature and generate research hypotheses
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