deep

Name: deep
Availability: InStock
Author: seth090502

Generate structured research prompts for claude.ai Research mode with portfolio context.

Updated Jun 13, 2026

Search Tags:#research #market research #prompt generation #institutional analysis #reference documentation

Ready to run

npx skills add https://github.com/Seth090502/osanwe-public --skill deep-seth090502

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep
Source: https://github.com/Seth090502/osanwe-public/tree/main/.claude/skills/deep
Command: npx skills add https://github.com/Seth090502/osanwe-public --skill deep-seth090502

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the generation of comprehensive research prompts for institutional-grade analysis, saving time and ensuring consistency in research output.

Core Features & Use Cases

Deep Research Prompt Generation: Composes detailed research prompts for claude.ai Research mode, tailored for complex market-linked topics.
Canonical Reference Documentation: Outputs prompts formatted for canonical reference documentation, with strict formatting and citation guidelines.
Portfolio and Thesis Integration: Incorporates user portfolio context and active thesis exposure into the research process.
Workflow Integration: Seamlessly integrates with downstream skills like /invest, /brief, and /enrich for a streamlined research-to-analysis process.

Quick Start

To generate a research prompt for a topic, use the command: /deep <topic-slug>

Frequently Asked Questions about deep

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

FAQPage Schema

How do I generate institutional research prompts for Claude AI?▼

To generate institutional research prompts for Claude AI, use an automated prompt composition tool that integrates your portfolio context and thesis exposure. This approach outputs structured, canonical reference prompts with mandatory constraints for citation count, length, and voice, ensuring consistency in research output.

What is canonical reference documentation in market research?▼

Canonical reference documentation in market research is a structured output format that enforces strict formatting and citation guidelines. It ensures that complex, institutional-grade analysis generated from research prompts maintains consistent length, voice, and verified source counts.

How do I integrate portfolio context into market research prompts?▼

You can integrate portfolio context into market research prompts by using an automated prompt generation skill designed for institutional analysis. This process incorporates your active thesis exposure and portfolio data directly into the structured prompts created for Claude AI's Research mode.

Can I use generated research prompts with downstream analysis workflows?▼

Yes, generated research prompts are specifically intended for use with downstream analysis workflows. The structured prompts integrate seamlessly with downstream skills, enabling a streamlined research-to-analysis process that takes the canonical reference documentation directly into further evaluation.

Does automated prompt generation work with Claude AI Research mode?▼

Automated prompt generation works directly with Claude AI Research mode by composing complex, institutional-grade research prompts tailored for it. The generated prompts include mandatory output format constraints required by the research mode to execute deep market-linked topic analysis.