foundry-research

Run structured research workflows with persistent threads and auditable decision journaling.

4|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/foundry-works/claude-foundry --skill foundry-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: foundry-research
Source: https://github.com/foundry-works/claude-foundry/tree/main/skills/foundry-research
Command: npx skills add https://github.com/foundry-works/claude-foundry --skill foundry-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables researchers and knowledge workers to run AI-driven research with multiple reasoning strategies in a structured, auditable way, improving traceability and alignment with intent.

Core Features & Use Cases

  • Five workflows: chat, consensus, thinkdeep, ideate, and deep research for varied reasoning, planning, and verification.
  • Persistent threads and sessions: maintain context across conversations and long-running research tasks.
  • Auditable decision journaling: track decisions, reasoning, and outcomes for compliance and iteration.
  • Use Case: Coordinate research projects that require rapid hypothesis testing, multi-model synthesis, and literature gathering with traceable outputs.

Quick Start

Start a new research session by prompting the skill with a query and selecting a workflow.

Frequently Asked Questions about foundry-research

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

FAQPage Schema
How do I maintain context across multiple AI research sessions?

The skill provides five workflows—chat, consensus, thinkdeep, ideate, and deep research—to handle varied reasoning, planning, and verification. These workflows enable structured, auditable AI-driven research across multiple reasoning strategies.

What is the best way to track AI reasoning decisions for compliance?

Yes, you can coordinate multi-model synthesis by selecting the consensus or deep research workflows. These workflows support rapid hypothesis testing and literature gathering, yielding verifiable research outputs aligned with your intent.

How do I start an AI research workflow with persistent threads?

Yes, you can coordinate multi-model synthesis by selecting the consensus or deep research workflows. These workflows support rapid hypothesis testing and literature gathering, yielding verifiable research outputs aligned with your intent.

When do I need auditable decision journaling for AI workflows?

To start an AI research workflow, prompt the skill with a query and select one of the five workflows. This initiates a new research session with persistent threads and auditable decision tracking.