parallel-research
AI-powered deep research using Parallel AI APIs for chat, research reports, entity discovery, and data enrichment. Use this skill when doing web research, competitive analysis, market research, generating research reports, finding companies matching criteria, or enriching existing data. Triggers on research requests, competitive intelligence, finding companies, or data enrichment tasks.
npx skills add majiayu000/claude-skill-registry --skill parallel-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Parallel Research ## Overview Deep web research, competitive intelligence, entity discovery, and data enrichment using Parallel AI's specialized APIs. ## Quick Decision Tree ``` What do you need? │ ├── Quick factual answer (3-5 seconds) │ └── Chat API ($0.005/request) │ └── Script: scripts/parallel_research.py chat "question" │ ├── Comprehensive research report (5min-2hr) │ └── Deep Research API ($0.30/report for ultra) │ └── Script: scripts/parallel_research.py research "topic" │ ├── Find entities matching criteria (companies, people) │ └── FindAll API ($0.03 + $0.10/match) │ └── Script: scripts/parallel_research.py findall "query" │ └── Enrich existing data (add fields to records) └── Task API with schema ($0.025/record for core) └── Script: scripts/parallel_research.py enrich data.csv ``` ## Environment Setup ```bash # Required in .env PARALLEL_API_KEY=your_api_key_here ``` Get your API key: https://platform.parallel.ai/settings/api-keys ## Common Usage ### Quick Q&A ```bash python scripts/parallel_research.py chat "What is Anthropic's latest funding round?" ``` ### Deep Research Report ```bash python scripts/parallel_research.py research "Competitive landscape of AI code edit
- Overview
- Quick Decision Tree
- Environment Setup
- Common Usage
- Quick Q&A
- Deep Research Report
- Find Companies
- Basic Research (Simplified)
- Vendor Selection
- Processor Tiers
- Cost Estimates
- Free Tier
- Security Notes
- Credential Handling
Required in .env python scripts/parallel_research.py chat "What is Anthropic's latest funding round?" python scripts/parallel_research.py research "Competitive landscape of AI code editors in 2025" --processor ultra python scripts/parallel_research.py findall "AI code editor companies that raised funding in 2024-2025" --limit 50 python scripts/basic_research.py "Company Name" python scripts/vendor_selection.py "CRM software" --requirements "enterprise,API,automation"
What does the parallel-research skill do?
AI-powered deep research using Parallel AI APIs for chat, research reports, entity discovery, and data enrichment. Use this skill when doing web research, competitive analysis, market research, generating research reports, finding companies matching criteria, or enriching existing data. Triggers on research requests, competitive intelligence, finding companies, or data enrichment tasks.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill parallel-research --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.