quick-research
This skill should be used when users need comprehensive research on a topic requiring exploration of multiple sources, synthesis of findings, and a well-structured report with citations. Use for complex research queries like "Research the latest developments in X", "Compare A vs B vs C", "Find the top N candidates for Y", or any request requiring deep exploration beyond a simple web search.
npx skills add majiayu000/claude-skill-registry --skill quick-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.
# Quick Research ## Overview Quick research enables comprehensive topic exploration using a multi-agent architecture. A lead researcher (Claude Code) orchestrates multiple parallel research sub-agents to explore different aspects of a topic simultaneously, then synthesizes findings into a well-cited report. This approach mirrors Anthropic's production research system which found that multi-agent systems outperform single-agent by 90%+ on breadth-first queries. ## When to Use This Skill - Complex research requiring multiple independent directions - Comparative analyses (e.g., "Compare OpenAI vs Anthropic vs Google approaches to AI safety") - List/ranking requests (e.g., "Find the top 20 AI companies in healthcare") - Validation questions requiring deep domain exploration - Any research exceeding what a single web search can accomplish ## Architecture ```pseudo # PSEUDO-CODE - Conceptual workflow, not executable code def deep_research(user_query): # Phase 1: Scope brief = clarify_and_create_research_brief(user_query) # Phase 2: Research Loop (max 3 iterations) all_findings = [] for iteration in range(3): subtopics = identify_gaps_or_subtopics(brief, all_findings) if not subtopics: br
- Overview
- When to Use This Skill
- Architecture
- Quick Research Workflow
- Phase 1: Scope the Research
- Phase 2: Delegate Research to Sub-Agents
- Phase 3: Synthesize Findings
- Phase 4: Generate Final Report
- Citation Rules
- Hard Limits
- Key Insights from Anthropic's Research System
- References
What does the quick-research skill do?
This skill should be used when users need comprehensive research on a topic requiring exploration of multiple sources, synthesis of findings, and a well-structured report with citations. Use for complex research queries like "Research the latest developments in X", "Compare A vs B vs C", "Find the top N candidates for Y", or any request requiring deep exploration beyond a simple web search.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill quick-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.