Where are the research results stored?

Results are saved as timestamped markdown files in a designated 'inbox' folder (defaulting to /inbox) with full YAML frontmatter for intellectual provenance.

Can this skill be used as part of an automated workflow?

Yes, it is designed as the entry point for a knowledge pipeline, automatically chaining to skills like '/reduce' to extract atomic insights from the raw research.

How do I control the depth of research?

You can use flags like --light, --moderate, or --deep directly in your command (e.g., /learn --deep quantum computing), or set a default depth in your project's configuration file.

What happens if I don't provide a specific topic?

The skill will automatically read your goals.md file to identify the highest-priority unexplored direction or prompt you for a new topic to investigate.

What research tools does the learn skill use?

It uses a priority-based cascade starting with Exa Deep Researcher, falling back to Exa Web Search, and finally using standard WebSearch if the others are unavailable.

Deep Knowledge Researcher

Name: Deep Knowledge Researcher
Author: LopeWale

byLopeWale

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학습 및 문서화

Conducts multi-depth web research to build a structured knowledge graph with full provenance tracking.

The 'learn' skill empowers Claude to perform autonomous, high-fidelity research using advanced tools like Exa Deep Researcher. It automatically determines research depth based on user flags or configuration, executes searches, and files synthesized findings into a project inbox. By capturing full provenance metadata and chaining to downstream processing skills like 'reduce', it transforms raw web data into actionable, atomic insights within a structured knowledge management workflow, making it ideal for deep technical discovery and documentation.

주요 기능

01Configurable research depth levels (light, moderate, deep) to balance speed and comprehensiveness

02Dynamic goal management that updates project roadmaps based on newly discovered research directions

03Multi-tier research cascade using Exa Deep Researcher, Exa Web Search, and standard WebSearch

04Automated provenance tracking with detailed YAML frontmatter for every research file created

051 GitHub stars

06Smart pipeline chaining to immediately transition from raw research to insight extraction skills

사용 사례

01Exploring complex technical domains to populate a new project's documentation or internal knowledge base

02Quickly fact-checking specific claims or gathering recent developments on a subtopic during development

03Automating the initial discovery phase of a software project by researching library alternatives and best practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lopewale/dev_ignition learn

For use in Claude.ai and ChatGPT

Download Skill