🎯

hypothesis-generation

🎯Skill

from drshailesh88/integrated_content_os

What it does

Generates research hypotheses by analyzing scientific literature and identifying potential novel connections or research directions based on input topics or queries.

📦

Part of

drshailesh88/integrated_content_os(152 items)

hypothesis-generation

Installation

PythonRun Python server

python pipelines/twitter-content/generate.py "What are statin side effects?"

PythonRun Python server

python research-engine/run_pipeline.py --quick

PythonRun Python server

python rag-pipeline/src/knowledge_pipeline.py --query "SGLT2 heart failure"

📖 Extracted from docs: drshailesh88/integrated_content_os

Need more details? View full documentation on GitHub →

5Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

Overview

# Integrated Content Operating System

Single source of truth for Dr. Shailesh Singh's content creation, research,

and writing workflows.

Fresh Machine Setup (Required)

Create .env from .env.example and set NCBI_API_KEY (plus other keys).
Install PubMed MCP dependencies:

```bash

cd pubmed-mcp-server

npm install

```

MCP config is already wired in .mcp.json and points to

pubmed-mcp-server/dist/index.js.

Quick Start

```bash

python pipelines/twitter-content/generate.py "What are statin side effects?"

python research-engine/run_pipeline.py --quick

python rag-pipeline/src/knowledge_pipeline.py --query "SGLT2 heart failure"

```

Notes

.env is intentionally not committed.
PubMed MCP is mandatory for research outputs.

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