Agent skill · Backend & API

parallel-web

Search the web, extract URL content, and run deep research using the Parallel Chat API and Extract API. Use for ALL web searches, research queries, and general information gathering. Provides synthesized summaries with citations.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill parallel-web-k-dense-ai-claude-scientific-wr-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBash
Path: skills/analysis/parallel-web-k-dense-ai-claude-scientific-wr-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Parallel Web Systems API ## Overview This skill provides access to **Parallel Web Systems** APIs for web search, deep research, and content extraction. It is the **primary tool for all web-related operations** in the scientific writer workflow. **Primary interface:** Parallel Chat API (OpenAI-compatible) for search and research. **Secondary interface:** Extract API for URL verification and special cases only. **API Documentation:** https://docs.parallel.ai **API Key:** https://platform.parallel.ai **Environment Variable:** `PARALLEL_API_KEY` ## When to Use This Skill Use this skill for **ALL** of the following: - **Web Search**: Any query that requires searching the internet for information - **Deep Research**: Comprehensive research reports on any topic - **Market Research**: Industry analysis, competitive intelligence, market data - **Current Events**: News, recent developments, announcements - **Technical Information**: Documentation, specifications, product details - **Statistical Data**: Market sizes, growth rates, industry figures - **General Information**: Company profiles, facts, comparisons **Use Extract API only for:** - Citation verification (confirming a specific URL'

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Two Capabilities
  4. 1. Web Search (search command)
  5. 2. Deep Research (research command)
  6. 3. URL Extraction (extract command) — Verification Only
  7. Model Selection Guide
  8. Python API Usage
  9. Search
  10. Deep Research
  11. Extract (Verification Only)
  12. MANDATORY: Save All Results to Sources Folder
  13. Saving Rules
  14. How to Save (Always Use -o Flag)
Ships with 1 file
  • metadata.json
Commands it runs
Basic search
python scripts/parallel_web.py search "latest advances in quantum computing 2025"
Use core model for more complex queries
python scripts/parallel_web.py search "compare EV battery chemistries NMC vs LFP" --model core
Save results to file
python scripts/parallel_web.py search "renewable energy policy updates" -o results.txt
JSON output for programmatic use
python scripts/parallel_web.py search "AI regulation landscape" --json -o results.json
Default deep research (core model)
python scripts/parallel_web.py research "comprehensive analysis of the global EV battery market"
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About this skill
What does the parallel-web skill do?

Search the web, extract URL content, and run deep research using the Parallel Chat API and Extract API. Use for ALL web searches, research queries, and general information gathering. Provides synthesized summaries with citations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill parallel-web-k-dense-ai-claude-scientific-wr-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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