Can I use this skill if I don't have API keys?

Yes, the skill features 'graceful degradation' (Tier 3), allowing you to provide manual URLs or files which the skill will then help organize and process without external API dependencies.

Where are the retrieved papers stored?

Papers are organized within your project under 'stage2-collaboration/stream-a-theoretical/papers/', accompanied by a literature-inventory.json file for tracking.

What APIs are required for the full automation tier?

To use the highest capability tier (Tier 1), you need API keys for Exa (for semantic academic search) and Jina (for web content extraction) configured in your environment.

How does this skill handle academic paywalls?

When automated fetching fails due to paywalls, the skill provides fallback guidance, including manual download suggestions and tools like MinerU or Tesseract for converting PDFs to Markdown.

Academic Literature Sweep

Name: Academic Literature Sweep
Author: linxule

bylinxule

•

网络抓取与数据收集

Automates the discovery, extraction, and organization of academic literature for qualitative research and theoretical pattern identification.

The Literature Sweep skill is a specialized component of the Interpretive Orchestration framework designed to streamline the foundational phase of qualitative research. It orchestrates a multi-tier workflow that adapts to available tools, ranging from automated semantic searches using Exa and Jina APIs to manual URL processing for restricted content. By fetching full-text papers and organizing them into a structured directory with a comprehensive literature inventory, it bridges the gap between raw academic data and structured theoretical analysis, ensuring researchers have a rigorous, documented trail of their theoretical stream.

主要功能

01Integrated fallback guidance for handling paywalls and manual PDF conversions

02Automated semantic searching and full-text extraction of academic papers

03Multi-tier execution logic that adapts to Exa and Jina API availability

042 GitHub stars

05Generates a structured literature-inventory.json to track metadata and relevance

06Standardized output formatting for seamless integration with theoretical analysis agents

使用场景

01Conducting systematic literature reviews for Stage 2 Phase 1 research streams

02Automating the collection of foundational papers for new academic projects

03Building a local Markdown-based repository of domain-specific theoretical patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add linxule/interpretive-orchestration literature-sweep

For use in Claude.ai and ChatGPT

Download Skill