'research synthesis' 검색 결과

Develop a research question, search and verify literature, combine findings, and produce a structured report. Seven modes cover guided research discussions, briefs, literature reviews, fact-checking, and systematic reviews, with statistical pooling of study results when appropriate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify a research topic through guided questions
• Build an annotated bibliography and synthesize findings
• Check claims against verified sources

Develop a research question, search and verify literature, and combine findings into an academic report. Modes also support guided research discussions, claim checking, paper comparisons, and systematic reviews with optional meta-analysis, which statistically combines study results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify a research direction through guided questions
• Search literature and compare findings across sources
• Check specific claims against supporting sources

Coordinate AI research from literature review and hypothesis testing to findings and paper drafts. The skill alternates focused experiments with broader reflection, maintains project records, and directs specialized skills to carry out research tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a research question into testable hypotheses
• Managing repeated experiments across multiple hypotheses
• Resuming research from recorded findings and project state

Coordinate AI research from literature review to paper drafting. The skill alternates focused experiments with broader reviews of findings, tracks hypotheses and decisions, and uses specialist skills to carry out research tasks and prepare progress reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a research project from a question
• Testing and comparing multiple hypotheses
• Reassessing direction when experiments stall

Plan and execute user research including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, research synthesis, recruitment, interview guide, jobs to be done. Also triggers when product decisions are being made without user input and the user wants to fix that.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan user research by matching methods to study goals and explaining participant numbers and confidence. Synthesize tagged observations into recurring findings, distinguish isolated anecdotes, and organize evidence so research results can be found and reused.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a research method for a study goal
• Explain participant numbers and confidence
• Find recurring patterns across participants

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Investigate a topic with cooperating agents that divide the research, challenge findings, and track evidence. Produce a cited synthesis with an auditable research record, verification artifacts where needed, and explicit treatment of unresolved or refuted claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a topic from several perspectives
• Checking conflicting claims against evidence
• Researching code alongside external documentation

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn research findings stored in memory into structured reports with evidence ratings, source references, and practical recommendations. Compare conflicting claims, identify unresolved questions, and explain limitations so accumulated research can support decisions and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine findings from several research sessions
• Compare conflicting claims and their supporting evidence
• Prepare a research brief with recommended next steps

Plan literature searches for six review types, from systematic to rapid reviews. Develop database-specific search queries, selection criteria, citation tracking, and search records, while comparing approaches for coverage, reproducibility, and available time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a review method for a research question
• Build search queries for multiple databases
• Map a research field and identify gaps

End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study or survey, analyze interview data, run AI-moderated interviews, or collect survey responses. Covers the full lifecycle: planning studies, creating discussion guides, running AI-moderated interviews (real or synthetic) via Cookiy, designing and distributing surveys, and synthesizing results into reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research a topic from multiple angles, preserve sources according to your privacy preferences, and summarize each one. Combine the evidence into a self-contained reference page, including limitations and counterarguments, with options to deepen the research later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a reference guide on a new topic
• Keeping sources alongside individual summaries
• Comparing evidence, counterarguments, and limitations

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn user data and interviews into research-backed personas, or representative user profiles. The toolkit also supports mapping user journeys, planning usability tests, and combining research findings to guide and validate design decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating personas from user data and interviews
• Mapping the steps of a customer journey
• Planning usability tests to validate a design

Use only after explicit Codex `$superloopy:superloopy-research` or Claude Code `/superloopy:superloopy-research` invocation, a research task started with a leading `loopy` or `루피` (such as `loopy research`), or an active Superloopy loop explicitly routing a research deliverable here. Evidence-backed Superloopy research orchestration with automatic advisory usage targets, parallel read-only lanes, per-retrieval verdicts, graded and dated sources, empirical verification, a priced claim ledger, cited synthesis, and optional reports. Do not activate from research, investigate, look-up, summarize, deep-dive, report, or similar vocabulary alone, in any language; ordinary questions, debugging, and implementation context-gathering stay with their primary workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use only after explicit Codex `$superloopy:superloopy-research` or Claude Code `/superloopy:superloopy-research` invocation, a research task started with a leading `loopy` or `루피` (such as `loopy research`), or an active Superloopy loop explicitly routing a research deliverable here. Evidence-backed Superloopy research orchestration with automatic advisory usage targets, parallel read-only lanes, per-retrieval verdicts, graded and dated sources, empirical verification, a priced claim ledger, cited synthesis, and optional reports. Do not activate from research, investigate, look-up, summarize, deep-dive, report, or similar vocabulary alone, in any language; ordinary questions, debugging, and implementation context-gathering stay with their primary workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn interviews, surveys, and usage data into evidence-based user profiles, experience maps, and design recommendations. Plan usability tests, define success measures, and organize research findings to identify user problems and prioritize improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create user personas from research data
• Map user actions, emotions, and pain points
• Plan usability tests for a proposed design

Turn selected research conversations or notes into themes supported by evidence and counterexamples. Distinguish observed behavior from preferences and hypotheses, assess confidence, and suggest a small next experiment with an observable measure of success.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recurring themes across research interviews
• Comparing evidence, counterexamples, and confidence
• Planning a small experiment to test findings

This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across multiple rounds, with the lead triaging findings and creating targeted follow-up tasks. Scales from Focused (2 researchers, 1-2 rounds) to Comprehensive (4 researchers, 3-4 rounds with cross-verification). Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Specialized research and analysis prompt methodology for Claude. Provides 11 tested approaches (3 identity, 4 reasoning, 4 output) for data analysis, policy research, systematic evidence review, investigative research, and research-specific deliverables. Use when building prompts for quantitative data interpretation, evidence-based policy recommendations, literature reviews, causal analysis, hypothesis-driven investigation, or briefing documents. Trigger on: "prompt for data analysis," "research prompt," "policy brief prompt," "literature review prompt," "prompt for investigating," "systematic review prompt," "build a prompt for evidence synthesis," "causal analysis prompt," "briefing document prompt." Also use when user describes a research or analytical task and needs a structured Claude prompt for it. Do NOT use for evaluating existing prompts (use rootnode-prompt-validation if available) or auditing Claude Projects (use rootnode-project-audit if available).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

인문학 강의와 연구 발표에 쓸 자료, 논점, 근거를 정리해 HTML 슬라이드를 만듭니다. 짙은 남색과 따뜻한 노란색으로 차분한 학술적 분위기를 구성합니다.

• 인문학 강의 자료 제작
• 대학원 세미나 연구 발표
• 연구 핵심 내용을 슬라이드로 정리

Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find common issues across user interviews
• Combine survey results and support feedback
• Prioritize product improvements using research evidence

Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find common issues across user interviews
• Combine survey results and support feedback
• Prioritize product improvements using research evidence