Orchestrate parallel-agent research and synthesize findings into a Markdown knowledge file.
npx skills add https://github.com/ourines/claude-code-learn --skill deep-learn
Please help me install this Agent Skill. Skill: deep-learn Source: https://github.com/ourines/claude-code-learn/tree/main/skills/deep-learn Command: npx skills add https://github.com/ourines/claude-code-learn --skill deep-learn
Enable fast, deep understanding of complex topics by orchestrating parallel-agent research that culminates in a single, comprehensive knowledge file stored under ~/.claude/learnings/.
Analyze a topic by providing its name and let the system run a deep, parallel investigation and save the results locally.
High-intent search queries and answers about installing and using this skill.
You can conduct deep parallel research by orchestrating multiple agents to explore distinct dimensions of a topic simultaneously. The system merges findings into a structured knowledge file for reuse and recall.
The best way to synthesize knowledge from multi-dimensional topic research is to use parallel-agent orchestration that merges findings into a structured Markdown file. This creates a persistent knowledge base for reuse and recall.
Yes, deep research with parallel agents supports flexible orchestration with two modes: Subagents and Team Agents. These modes match topic complexity and collaboration needs during multi-dimensional exploration.
To save and persist synthesized research results locally, the system automatically writes the compiled knowledge file to ~/.claude/learnings/ as a slugged Markdown file. This ensures findings are stored for later reuse.
You should use agent-based research for topic exploration when dealing with complex or broad topics that benefit from multi-dimensional exploration and cross-agent synthesis. It enables fast understanding by investigating distinct dimensions simultaneously.
flosrnExecute iterative multi-phase research with parallel agents and skeptical analysis.
boshu2Extract actionable learnings from Claude session transcripts into Markdown files.
Astro-HanCompile raw source materials into structured markdown wiki pages.
breddinOrchestrate multi-agent swarms across mesh, hierarchical, star, and ring topologies.
