Ai Research Explore
This is the skill you reach for when you're already deep in a research project and want to explore candidate improvements without destroying your baseline. It expects you've frozen your task, dataset, and evaluation method, then runs a two-loop rhythm: outer loop gates ideas and decides what's worth trying, inner loop makes one bounded change and collects evidence. Everything lands in explore_outputs with a scientific changelog and comparability report so you know exactly what changed and whether the gain means anything. It won't claim novelty or promise reproduction success, but it will give you auditable candidate ranking against your current anchor. Use it for systematic exploration once you know what you're comparing against, not for open-ended direction finding.
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- 11
- skills.sh installs
- 353.7K
- GitHub stars
- 486
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lllllllama/rigorpilot-skills --skill ai-research-explore --agent claude-codeInstalls into .claude/skills of the current project.
Files
ai-research-explore
Purpose
Use this as the Rigor Explore compatible skill slug after the researcher
explicitly authorizes candidate-only work on top of a durable
current_research anchor. The installed slug remains ai-research-explore for
compatibility. Rigor Explore is for meaningful and potentially novel deep
learning research candidates while preserving scientific rigor, comparability,
reproducibility, and auditable collaboration. Novelty and significance remain
hypotheses before literature contrast, ablation evidence, and fair comparison.
The skill does not promise autonomous discovery, global benchmark completeness,
novelty proof, or trusted reproduction success.
Start from the shared operating principles in
../ai-research-reproduction/references/agent-operating-principles.md, then load
../ai-research-reproduction/references/research-rigor-principles.md for research claims and
../ai-research-reproduction/references/deep-learning-experiment-principles.md when experiment
details affect comparability or reproducibility.
Fit
Use this skill only when the request has both:
Sponsors
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- Repository
- github.com/lllllllama/rigorpilot-skills
- Categories
- Documentation, AI & Agent Building, Data Science & ML
- First seen
- Jul 14, 2026
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