analysis-campaign

Coordinate code-based follow-up analyses with campaign plans and per-slice runs.

3.3k|331|Updated Sep 26, 2025
One-click install
npx skills add https://github.com/ResearAI/DeepScientist --skill analysis-campaign
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analysis-campaign
Source: https://github.com/ResearAI/DeepScientist/tree/main/src/skills/analysis-campaign
Command: npx skills add https://github.com/ResearAI/DeepScientist --skill analysis-campaign

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate disciplined, code-based follow-up analyses after a main result, enabling structured evaluation of supplementary questions and failure modes.

Core Features & Use Cases

  • Structured campaign planning with PLAN.md and CHECKLIST.md
  • Isolated per-slice runs that map to a paper-facing outline
  • Aggregated reporting and milestone updates to guide next steps

Quick Start

Bind a campaign to the parent run, draft PLAN.md and CHECKLIST.md, then launch the first claim-critical slice.

Frequently Asked Questions about analysis-campaign

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure follow-up analyses after a main research result?

Perform ablation studies and robustness checks by binding a campaign to the parent run, drafting PLAN.md and CHECKLIST.md files, then launching isolated per-slice runs. This ensures reproducible artifact logging and an aggregated campaign report.

What is a research campaign plan for experiments?

A research campaign plan coordinates disciplined, code-based follow-up analyses after a main result. It uses PLAN.md and CHECKLIST.md to structure ablations, robustness checks, and error analysis into isolated per-slice runs mapped to a paper-facing outline.

How do I track reproducibility and artifacts across multiple experiment slices?

Track reproducibility across experiment slices by logging artifacts within isolated per-slice runs. The campaign aggregates these into a final report aligned with your selected outline and evidence contract, updating milestones to guide next steps.

Can I use this for failure analysis and robustness checks on paper-facing work?

Yes, this applies directly to failure analysis and robustness checks on paper-facing work. It maps isolated per-slice runs to a paper-facing outline and evidence contract, aggregating results into a milestone-updated campaign report.

What's the best way to aggregate results from multiple ablation studies?

Aggregate ablation study results by logging artifacts from isolated per-slice runs into a structured campaign. This generates an aggregated campaign report aligned with your selected outline and evidence contract to guide next steps.