ClaudSkills / Science & Research / research-methods

Sst Web Research

Quality score: 80/100  ·  Category: Science & Research  ·  Sub-category: research-methods
Research a topic from scratch using web search, page fetches, and academic sources (arXiv). Produces a structured markdown report with a clear title, introduction, findings organized into logical sections, conclusion, and a complete list of source URLs. For technical/scientific topics, leads with arXiv before falling back to general web. Synthesizes — never plagiarizes — and always cites every source it uses.

What this skill does

Sst Web Research is a well-rated Claude Code skill (quality score 80/100) in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/sst-web-research/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Sst Web Research skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/sst-web-research
curl -L https://claudskills.com/skills/sst-web-research/SKILL.md \
  -o ~/.claude/skills/sst-web-research/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/sst-web-research/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/sst-web-research/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\sst-web-research\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

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Part of ClaudSkills — the open registry for Claude Code skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt