market-research

DeepPaperNote: Fast Research Notes

Generate high-quality research notes with DeepPaperNote. For founders researching with paper-intensive workflows.
1,165 stars+22★ this week80 forksPythonGuide quality 8/10 · reviewed Jul 30Updated 10/7/2026100% free · open source
What it does

DeepPaperNote generates high-quality Obsidian-style research notes by deep-reading a single paper, integrating with various AI tools like Claude Code and Codex.

When to use it
  • •You need to summarize complex research papers efficiently
  • •You're looking to organize notes from a paper in a structured, Obsidian-compatible format
  • •You want to leverage AI for in-depth paper analysis without manually processing the content
Ready-to-paste prompt
To generate notes for a paper named `example_paper.pdf`, you could use a command like `python deep_paper_note.py -i example_paper.pdf -o example_notes.md --agent ClaudeCode`
Heads up: Ensure you have Python installed and properly configured on your system, as DeepPaperNote is a Python script and relies on Python to run successfully
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/deeppapernote && curl -fsSL https://workflowstacks.com/api/skills/deeppapernote/claude-skill -o ~/.claude/skills/deeppapernote/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How DeepPaperNote: Fast Research Notes works
Codeflow
Free to inspect

DeepPaperNote: Fast Research Notes is a large Python project (~20k lines across 38 code files, plus 34 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~20k lines · 38 code files · ~3 h to skim
Setup
Install as a skill / plugin
Add it to Claude Code (or your AI tool) with one command — 2 skills inside. Nothing to run yourself.
Runs on
Inside your AI tool
Helper scripts use Python
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    skills/deeppapernote/SKILL.md
    Inside skills/ — an example of what the AI is told to do
What's in each folder
skills/Prompts, skills & agent definitions66 files
evals/Evaluations & benchmarks4 files
.claude-plugin/Plugin manifest — what gets installed2 files
.codex-plugin/Plugin manifest — what gets installed1 files
scripts/Helper scripts1 files
tests/Tests — proof it works26 files
assets/Images & static assets5 files
.github/CI / automation (GitHub Actions)3 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
917Dhj
Language
Python
Category
market-research
Published
3/21/2026

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/deeppapernote.svg)](https://workflowstacks.com/skills/deeppapernote?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.

Related skills

More market-research tools founders pair with this one.

market-research★ 12,684
open_deep_research: Deep Market Insights for Data‑Driven Founders
Leverage open_deep_research’s Python engine to scrape and analyze market data, giving startup founders fast, evidence‑based decisions. Backed by 13k+ GitHub stars.
market-research★ 5,335
user-scanner: Extract Deep Data
Get deep data extraction for security research with user-scanner, a tool for founders and cybersecurity professionals, backed by 2.7k+ GitHub stars.
market-research★ 1,105
eCommerce-Skills: Optimize Online Sales
Get AI-driven product research and automation for online sellers across platforms with eCommerce-Skills, a tool for founders on Amazon, Shopify, and more.
market-research★ 359
marketingdashboard
面向金融与产业研究的一屏式实时行情大屏:A股/港股/美股指数、大宗商品、美债收益率、板块热点、主力资金流、7×24 快讯、产业链自选股、AI 大模型 Token 追踪。A real-time market research cockpit on a single screen: CN/HK/US indices, commodities, treasury yields, sector hotspots, capital flows, 7×24 news, industry-chain watchlists and AI token usage trends.
market-research★ 50
porter-strategy-skills: Analyze Competition
Get actionable insights with 12 AI agent skills for startup founders, based on Michael Porter's Competitive Strategy frameworks.
market-research★ 741
Amazon-Skills: Automate Sales
Get AI-powered Amazon sales tools for keyword research and more. For Amazon sellers, works with OpenClaw and others, with 436 GitHub stars.