Planning Skill

SkillDev tools

Produce an experiment blueprint from a research hypothesis

Available today. Use it from your connected AI after setup.

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 to papers/ideation_output.json produced by the ideation skill

Process

  1. Parse the selected hypothesis and supporting literature from the ideation output
  2. Identify candidate datasets that are publicly available and appropriate for validating the hypothesis
  3. Select 2-4 baseline methods from the surveyed literature for comparison
  4. Define primary and secondary evaluation metrics aligned with the hypothesis
  5. Design ablation groups that isolate each novel component of the proposed approach
  6. Estimate computational requirements and timeline for each experiment
  7. 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