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DataPython

Progressive Product Research

by tsingyuai

Progressive Product Research is a Data skill for Claude Code, published by tsingyuai in growth-lab.

1.7K stars150 forkson tsingyuai/growth-labAdded 2026/08/19+41% in starsRepository updated 2026/08/11
agentic-marketingai-agentclaude-codecodexgrowthgrowth-hackingmarketing-automationopen-sourceseoskillsxiaohongshu
Install in seconds
Install Progressive Product Research
Copy Progressive Product Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product ~/.claude/skills/research-product

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/tsingyuai/growth-lab.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
collectors/research-product/SKILL.md in tsingyuai/growth-lab
Installs to
~/.claude/skills/research-product
Collection
One of 19 skills cataloged from this repository
Category
Data668 skills

What Progressive Product Research does

Progressive Product Research guides an agent to progressively study a product from code, URLs, or user input, recording stable, traceable findings to SOUL.md while keeping facts, hypotheses, and unknowns distinct.

Progressive Product Research is cataloged under Data on DirSkills. Progressive Product Research comes from a repository tagged agentic-marketing, ai-agent, claude-code, codex and growth.

Documentation

README

渐进式产品研究

目标不是完成一份产品报告,而是让 Agent 在真实执行中逐步认识产品。每次只研究当前任务需要的部分,并更新能够跨轮次复用的稳定认知。

证据层级

按以下顺序区分,不得混写:

  1. 已观察事实:代码、配置、路由、界面、公开页面、真实数据或用户明确陈述直接支持。
  2. 暂定解释:多条事实共同支持,但仍需要使用或市场证据验证。
  3. 工作假设:为了推进当前 loop 提出的可能用户、问题、场景或价值,必须写明验证方式。
  4. 未知:没有证据时保留“未知”,不为了填满 SOUL 而补齐。

代码通常只能直接证明产品形态、组成和可见能力。不得从“存在某功能”直接推断“用户最需要它”“它解决了某个核心问题”或“这是产品差异化”。

每次执行

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Progressive Product Research

  • What else does tsingyuai publish alongside Progressive Product Research?

    Progressive Product Research is one of 19 skills that DirSkills catalogs from tsingyuai/growth-lab, the repository it ships in. Its siblings there include Bilibili Media Crawler, Create SEO Page and Douyin Media Crawler. Each one is a separate skill with its own page in this directory, installs the same way Progressive Product Research does, and is maintained by tsingyuai in that same repository. The rest of the collection is listed on the tsingyuai/growth-lab page.

  • How does Progressive Product Research compare to other Data skills?

    Progressive Product Research ranks #363 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Progressive Product Research against them. Open each page to compare what they document and how they install.

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