scientific-analysis-architect

Plan multi-phase scientific analyses with structured chapter and notebook plans.

6|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/dangeles/claude --skill scientific-analysis-architect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-analysis-architect
Source: https://github.com/dangeles/claude/tree/main/claude-config/skills/scientific-analysis-architect
Command: npx skills add https://github.com/dangeles/claude --skill scientific-analysis-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams to design and orchestrate complex, multi-phase scientific analysis workflows, aligning planning, review, and notebook generation into a reproducible process.

Core Features & Use Cases

  • Structured planning: Create 3-7 chapters with goals, analyses, and dependencies.
  • Collaborative review: Spawn expert consultants for phase-specific input and resolve conflicts with user prompts.
  • Notebook generation & validation: Produce per-chapter notebooks with pseudocode, validate via nbformat, and track provenance.
  • Resume & recovery: Persist session state to resume interrupted workflows across machines.

Quick Start

Use the scientific-analysis-architect skill to scaffold a multi-phase research workflow and generate notebook plans for a new project.

Frequently Asked Questions about scientific-analysis-architect

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

FAQPage Schema
How do I plan and orchestrate a multi-phase scientific analysis workflow?

You can plan multi-phase scientific analysis workflows by generating structured chapter plans that define goals, analyses, and dependencies for up to 7 chapters. This enforces phase-based validation and tracks provenance to ensure research reproducibility.

Can I generate valid Jupyter notebooks with pseudocode for my research?

You can generate per-chapter notebooks containing pseudocode and validate them using nbformat-compatible standards. This ensures your notebook generation maintains structural integrity and tracks provenance for each analysis phase.

How do I track provenance and ensure reproducibility across scientific notebooks?

Ensure reproducibility by enforcing phase-based validation during notebook generation and maintaining structured chapter plans with explicit dependencies. This aligns planning and review into a reproducible process.

Can I resume an interrupted scientific analysis workflow across different machines?

You can resume interrupted scientific analysis workflows across machines by persisting session state. This recovery mechanism allows you to recover multi-phase research progress without losing structured chapter plans.

How do I collaborate with experts to review phase-specific scientific analyses?

Collaborate with experts by spawning expert consultants for phase-specific input during scientific analysis planning. The workflow resolves conflicts through user prompts to align multi-phase research planning and review.

What is the best way to scaffold a reproducible research workflow with notebook plans?

The best way to scaffold a reproducible research workflow is creating 3-7 structured chapters with defined goals and dependencies, then generating per-chapter notebook plans validated via nbformat. This orchestrates planning and review into a reproducible process.