research
Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when con
SKILL.mdskills/research/SKILL.md
GitHubResearch
Conduct comprehensive research on: $ARGUMENTS
Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Step 1: Web Discovery
Use web_search for broad discovery:
- query: "$ARGUMENTS", num_results: 15, extract_content: true, follow_links: true, max_depth: 2
Identify the top 3-5 most relevant URLs. Note key themes and recurring sources.
Step 2: Social & Community Pulse
Use social_search to gauge community discussions:
- query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "devto", "producthunt", "medium"], max_results_per_platform: 10, time_filter: "year"
Analyze what practitioners are saying. Note consensus, debate, and emerging opinions.
Step 3: News Coverage
Use news_aggregation for recent developments:
- query: "$ARGUMENTS", max_results: 15, time_range: "month"
Identify breaking news, announcements, and trend shifts.
Step 4: Academic Literature
Use scientific_research twice for peer-reviewed sources:
- operation: "academic_search", query: "$ARGUMENTS", max_results: 15, sources: ["semantic_scholar", "arxiv"]
- operation: "academic_search", query: "$ARGUMENTS survey OR review OR overview", max_results: 5
Identify the most cited papers, recent publications, key authors, and methodologies. Look for surveys that summarize the field.
Step 5: Datasets & Implementations
Use scientific_research for datasets:
- operation: "dataset_discovery", query: "$ARGUMENTS", max_results: 10
Use github_search for open source implementations:
- query: "$ARGUMENTS", sort: "stars", max_results: 10, include_readme: true
Step 6: Deep Content Retrieval
For the 3-5 most important sources from previous steps:
Use content_operations:
- operation: "retrieve", url: <selected_url>, extraction_method: "markdown"
For any key papers with accessible PDFs, use document_analysis:
- url: <paper_pdf_url>, max_pages: 10, extract_metadata: true, summary_length: 1000
Then analyze the most critical content:
- operation: "analyze", content: <retrieved>, analysis_type: "general", extract_key_points: true, summarize: true
Step 7: Compile Report
- Executive Summary — 2-3 paragraph overview of key takeaways
- Key Findings — Numbered list of the most important discoveries
- Web Intelligence — What mainstream sources reveal
- Community Sentiment — Practitioner discussions and opinions
- Recent Developments — News, announcements, trend shifts
- Academic Foundation — Key papers, methodologies, research threads, and key authors
- Datasets & Tools — Available datasets and open source implementations
- Deep Dive Insights — Detailed analysis from primary sources
- Contradictions & Gaps — Where sources disagree or information is missing
- Sources — Complete list of all URLs consulted
Use clean markdown. Cite sources inline with Source Name format.