ontological-analysis
Analyze repository through 8 philosophical dimensions for MVV extraction
research-after-failure
Use after 2 consecutive failed attempts at solving a problem - STOP guessing and research documentation, codebase, and online resources before resuming
research
Conduct comprehensive academic research using OpenAlex, PDF extraction, paper search MCPs, and web search. Always produces comprehensive reports with 5+ evidence cards covering conflicting ideas and best approaches. Integrates academic papers (high weight) and non-academic sources (blogs, docs - lower weight but valuable for SOTA). Use when: (1) Researching software architecture patterns, (2) Finding academic papers on technical topics, (3) Conducting literature reviews, (4) Analyzing research papers for evidence-based decisions, (5) Building evidence cards from papers, (6) Finding related works and citations, or (7) When you need grounded, paper-backed technical recommendations. Triggers: research, find papers, literature review, evidence-based, academic research, compare approaches, what does research say, find studies on, search for papers about.
research
Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
research
Use when you need to research, analyze, and plan technical solutions that are scalable, secure, and maintainable. | Sử dụng khi: nghiên cứu, tìm hiểu, khám phá, học về, tài liệu.
research-assistant
Conduct research, synthesize information, and create structured summaries
academic-writing
Academic writing, research methodology, and scholarly communication workflows. Use when writing papers, literature reviews, grant proposals, conducting research, managing citations, or preparing for peer review. Essential for researchers, graduate students, and academics across disciplines.
research-methodology
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Getting Started with Research Superpowers
Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal
research
Use when needing to understand requirements before implementation. Gathers context from Jira, Confluence, codebase, and docs. Produces research document with confidence scoring.
research
Multi-LLM parallel research with query decomposition and synthesis
multi-model-research
Orchestrate multiple frontier LLMs (Claude, GPT-5.1, Gemini 3.0 Pro, Perplexity Sonar, Grok 4.1) for comprehensive research using LLM Council pattern with peer review and synthesis
secure-web-search
Guide for performing secure web searches with privacy protection, source verification, and information validation. Use when the user wants to search the web securely, verify sources, fact-check information, or mentions secure search, privacy, source validation, or web research.
summary
This skill should be used when providing concise summaries of research paper text. Use for quickly understanding the core content, arguments, and contributions of paper sections targeting top-tier computer science conferences.
researcher
Researches topics in-depth and generates comprehensive summaries and references. Use when trying to deeply understand a topic or use a new framework.
paper-implementation
Implement research papers from arxiv. Use when the user provides an arxiv link, asks to implement a paper, or wants to reproduce research results.
websearch-deep
ChatGPT-style deep research strategy with problem decomposition, multi-query generation (3-5 variations per sub-question), evidence synthesis with source ranking, numbered citations, and iterative refinement. Use for complex architecture decisions, multi-domain synthesis, strategic comparisons, technology selection. Keywords: architecture, integration, best practices, strategy, recommendations, comparison.
researching-web
Web research via Perplexity AI. Use for technical comparisons (X vs Y), best practices, industry standards, documentation. Triggers on "research", "compare", "vs", "best practice", "which is better", "pros and cons".
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