Planning Skill
SkillDev toolsProduce an experiment blueprint from a research hypothesis
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Planning Skill skill
What this skill tells your AI
The instructions your AI receives, as published by openraiser/nanoresearch in skills/nanoresearch-planning/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 1k
- Forks
- 97
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
nanoresearch-planning- Source
- github.com/openraiser/nanoresearch