Agent skill · Data & Analytics

research-lookup

Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill research-lookup --agent claude-code

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

Facts
Files in the skill folder: 6
SKILL.md size: 16 KB
Bundled scripts: yes
Allowed tools: ReadWriteEditBash
Requires: PARALLEL_API_KEY and OPENROUTER_API_KEY required
Path: skills/01-论文检索与文献管理/research-lookup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

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

From the SKILL.md

# Research Information Lookup ## Overview This skill provides real-time research information lookup with **intelligent backend routing**: - **Parallel Chat API** (`core` model): Default backend for all general research queries. Provides comprehensive, multi-source research reports with inline citations via the OpenAI-compatible Chat API at `https://api.parallel.ai`. - **Perplexity sonar-pro-search** (via OpenRouter): Used only for academic-specific paper searches where scholarly database access is critical. The skill automatically detects query type and routes to the optimal backend. ## When to Use This Skill Use this skill when you need: - **Current Research Information**: Latest studies, papers, and findings - **Literature Verification**: Check facts, statistics, or claims against current research - **Background Research**: Gather context and supporting evidence for scientific writing - **Citation Sources**: Find relevant papers and studies to cite - **Technical Documentation**: Look up specifications, protocols, or methodologies - **Market/Industry Data**: Current statistics, trends, competitive intelligence - **Recent Developments**: Emerging trends, breakthroughs, announcement

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Enhancement with Scientific Schematics
  4. Automatic Backend Selection
  5. Routing Logic
  6. Academic Keywords (Routes to Perplexity)
  7. Everything Else (Routes to Parallel)
  8. Manual Override
  9. Core Capabilities
  10. 1. General Research Queries (Parallel Chat API)
  11. 2. Academic Paper Search (Perplexity sonar-pro-search)
  12. 3. Technical and Methodological Information
  13. 4. Statistical and Market Data
  14. Paper Quality and Popularity Prioritization
Ships with 5 files
  • README.md
  • examples.py
  • lookup.py
  • research_lookup.py
  • scripts/research_lookup.py
Commands it runs
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
Force Parallel Deep Research
python research_lookup.py "your query" --force-backend parallel
Force Perplexity academic search
python research_lookup.py "your query" --force-backend perplexity
Primary backend (Parallel Chat API) - REQUIRED
export PARALLEL_API_KEY="your_parallel_api_key"
Academic search backend (Perplexity) - REQUIRED for academic queries
export OPENROUTER_API_KEY="your_openrouter_api_key"
Auto-routed research (recommended) — ALWAYS save to sources/
More from qinyan-academic-skills
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About this skill
What does the research-lookup skill do?

Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill research-lookup --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 LeonChaoX/qinyan-academic-skills, a repository with 759 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.

Keep going