Skill Tech Stack Research
- Updated March 7, 2026
- irinanazarova/skill-tech-stack-research
skill-tech-stack-research is a Claude Code plugin marketplace that installs research-tech-stack, a skill triangulating a company's production tech stack from GitHub, job posts, blogs, and infrastructure signals for devel
About
Tech Stack Research is a Claude Code plugin marketplace distributing the research-tech-stack skill for company due diligence and integration planning. Run /research-tech-stack against a company name, domain, or GitHub org; the skill scans repositories and dependency files, mines Greenhouse, Ashby, BuiltIn, and HN job posts, reads engineering blogs, and maps infrastructure signals like Sidekiq or Celery to likely backend languages. It cross-references sources, assigns confidence ratings, and writes a dated markdown report to tech-stacks/{company-slug}.md covering backend, frontend, databases, infrastructure, and architectural patterns. Reach for it when evaluating a vendor, preparing for an interview, or scoping an integration and public signals are misleading or incomplete.
- Triangulates GitHub org repos, forks, and dependency manifests for language signals
- Searches Greenhouse, Ashby, BuiltIn, and HN job postings for stack requirements
- Maps infra signals (Sidekiq, Celery, Kafka) to probable backend frameworks
- Writes dated tech-stacks/{company-slug}.md with confidence-rated sections
- Bundles signals.md fork cheat sheet and template.md output format
Skill Tech Stack Research by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | March 7, 2026 |
|---|---|
| Repository | irinanazarova/skill-tech-stack-research ↗ |
How do you research a company's real production tech stack?
Run /research-tech-stack on a company slug; outputs tech-stacks/{company}.md with backend, frontend, DB, infra, and cited sources.
Who is it for?
Developers and architects conducting technical due diligence who need evidence-backed stack assessments beyond marketing pages and SDK language hints.
Skip if: Teams needing live infrastructure scanning, dependency license audits, or security penetration testing rather than open-source intelligence research.
What you get
Dated tech-stacks/{company-slug}.md with confidence-rated backend, frontend, database, infrastructure, and source URLs.
- tech-stacks/{company-slug}.md assessment
- confidence-rated stack report
By the numbers
- Plugin version 1.0.0 with 1 research-tech-stack plugin
- 7 research steps from GitHub scan through cross-referenced confidence ratings
- Skill bundle includes 3 files: SKILL.md, signals.md, and template.md
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
Recommended Marketplaces
How it compares
Pick skill-tech-stack-research for evidence-triangulated company stack profiles; use dependency scanners when you have direct repo access instead of public OSINT.
FAQ
How do you install Skill Tech Stack Research?
Skill Tech Stack Research installs via Claude Code with /plugin marketplace add irinanazarova/Skill Tech Stack Research then /plugin install research-tech-stack@Skill Tech Stack Research. Local development uses claude --plugin-dir ./research-tech-stack.
What does research-tech-stack output include?
research-tech-stack writes tech-stacks/{company-slug}.md with Core Backend, Frontend, Databases, Infrastructure, Key Architectural Patterns, Confidence Notes, and All sources listing every URL consulted with evidence-backed confidence levels.
What signals does research-tech-stack check?
research-tech-stack scans GitHub org repos and dependency files, job postings on Greenhouse, Ashby, BuiltIn, and HN, engineering blogs, cloud provider case studies, and infrastructure signals such as Sidekiq for Ruby or Celery for Python before cross-referencing results.