How does this skill find 'hidden' tech stacks?

It looks at high-signal indicators like GitHub forks, specific dependency files, and niche job boards that companies use when they aren't actively marketing their core backend language.

What sources does the research-tech-stack skill check?

It searches GitHub organizations, job boards (Greenhouse, Ashby, LinkedIn), engineering blogs, conference talk schedules, and cloud provider case studies.

Why shouldn't I just look at a website's frontend code?

Many modern companies use a decoupled React or Next.js frontend that reveals nothing about the backend; this skill digs deeper into the server-side infrastructure and internal tooling.

Does it save the research results locally?

Yes, it creates a standardized markdown file in a local tech-stacks/ directory, automatically adding it to your .gitignore to prevent accidental commits.

Tech Stack Researcher

Name: Tech Stack Researcher
Author: irinanazarova

byirinanazarova

0•

网络抓取与数据收集

Investigates and identifies the actual production technology stacks of companies by triangulating GitHub data, job postings, and engineering signals.

The Tech Stack Research skill provides a systematic framework for uncovering a company's real backend, infrastructure, and database layers, bypassing marketing fluff and misleading frontend indicators. By triangulating data from GitHub forks, Applicant Tracking Systems (ATS) like Greenhouse or Ashby, engineering blogs, and conference talks, it provides high-confidence insights into whether a company uses critical stacks like Ruby on Rails or Django alongside modern performance layers in Go or Rust. It is particularly effective at finding 'boring' but essential production stacks that are often hidden behind modern frontend frameworks.

主要功能

01Analyzes GitHub forks to reveal hidden infrastructure and dependency patterns

02Distinguishes between frontend frameworks, customer-facing SDKs, and actual production backends

03Directly fetches technical requirements from ATS platforms like Greenhouse and Ashby

04Automatically organizes findings into standardized markdown reports within a local directory

05Triangulates data across GitHub, job boards, and engineering blogs for high-accuracy tech discovery

060 GitHub stars

使用场景

01Competitive intelligence to understand a rival's infrastructure choices and architecture

02Sales and partnership research to ensure technical compatibility with a target startup's stack

03Job interview preparation to gain deep insights into a potential employer's actual codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add irinanazarova/skill-tech-stack-research research-tech-stack

For use in Claude.ai and ChatGPT

主要功能

01Analyzes GitHub forks to reveal hidden infrastructure and dependency patterns

02Distinguishes between frontend frameworks, customer-facing SDKs, and actual production backends

03Directly fetches technical requirements from ATS platforms like Greenhouse and Ashby

04Automatically organizes findings into standardized markdown reports within a local directory

05Triangulates data across GitHub, job boards, and engineering blogs for high-accuracy tech discovery

060 GitHub stars

使用场景

01Competitive intelligence to understand a rival's infrastructure choices and architecture

02Sales and partnership research to ensure technical compatibility with a target startup's stack

03Job interview preparation to gain deep insights into a potential employer's actual codebase