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From claude-scholar
Performs adaptive deep web research on a query with configurable --depth and --strategy options. Outputs markdown report with executive summary, analysis, confidence scores, and cited sources.
How this command is triggered — by the user, by Claude, or both
Slash command
/claude-scholar:researchsc/The summary Claude sees in its command listing — used to decide when to auto-load this command
# /sc:research - Deep Research Command > **Context Framework Note**: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis. ## Triggers - Research questions beyond knowledge cutoff - Complex research questions - Current events and real-time information - Academic or technical research requirements - Market analysis and competitive intelligence ## Context Trigger Pattern ## Behavioral Flow ### 1. Understand (5-10% effort) - Assess query complexity and ambiguity - Identify required information types - Determi...
Context Framework Note: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.
/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
claudedocs/research_[topic]_[timestamp].md/sc:research "latest developments in quantum computing 2024"
/sc:research "competitive analysis of AI coding assistants" --depth deep
/sc:research "best practices for distributed systems" --strategy unified
Will: Current information, intelligent search, evidence-based analysis Won't: Make claims without sources, skip validation, access restricted content
STOP AFTER RESEARCH REPORT
This command produces a RESEARCH REPORT ONLY - no implementation.
Explicitly Will NOT:
Output: Research report (claudedocs/research_*.md) containing:
Next Step: After research completes, user decides next action. Use /sc:design for architecture or /sc:implement for coding.
npx claudepluginhub galaxy-dawn/claude-scholar --plugin claude-scholar/sc-researchConducts deep web research with adaptive planning and multi-hop searches on a query, producing a markdown report with executive summary, citations, confidence levels, and sources.
/web-researchPerforms parallel web research across multiple angles in scan, brief, breadth, or deep modes, grounded in local context, producing synthesized reports with verified sources.
/researchConducts systematic academic and technical research using multiple search engines and AI reasoning, cross-validating sources and synthesizing findings into a structured summary with citations.
/researchConducts systematic research via four-phase methodology (discovery, investigation, synthesis, reporting) with multi-hop reasoning, web tools, and evidence synthesis. Produces cited reports with confidence levels.
/deep_researchOrchestrates multi-agent deep research on a topic by analyzing complexity, generating sub-questions, spawning parallel research workers, and synthesizing cited reports.
/researchExecutes multi-agent research pipeline on given topic with Scout, Investigators, Deep Diver, Verifier, Synthesizer, and iterative Critic review to produce verified synthesized insights.