5.3천건 · 관련도순
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.
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.
Investigate a topic through multiple sources, including primary evidence and counterarguments. Save research materials and notes to files, compare conflicting findings, and produce a cited report that explains conclusions, uncertainty, and limits of the evidence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Have Gemini critically review research developed with Codex. Multiple rounds of discussion examine logical gaps, missing experiments, and narrative weaknesses, then turn the findings into experiment plans, paper outlines, and documented research priorities.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Get critical feedback from Claude on research ideas, papers, and experimental results. Through multiple review rounds, identify unsupported claims, missing experiments, and narrative weaknesses, then document agreed conclusions and a prioritized improvement plan.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Fill unfinished research-wiki paper pages using summaries and abstracts from external sources. Organize each paper’s problem, method, results, limitations, and reusable ideas while preserving existing content by default and recording which source supplied the information.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a vague research direction into a focused proposal and a detailed experiment roadmap. This workflow connects method refinement with validation planning, producing review records, an experiment tracker, and a summary of what to run next.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a broad research direction into ranked ideas with clear hypotheses and small experiments. Survey related papers, use another model to challenge candidates, and update priorities using pilot results when suitable computing resources are available.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Combine all service research reports for a selected date into a local Markdown digest. Add up to five highlights to help maintainers prioritize updates, review proposed changes, and spot research errors.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Support academic work from refining a research question to literature reviews, manuscript drafting, citation checks, and revision. Select workflows for the current stage, including study selection against eligibility criteria, peer review, and experiment planning.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Develop a research idea through a structured conversation, then turn the answers into a written research specification. Clarify the question, testable hypothesis, data needs, methods for assessing cause and effect, expected findings, and feasibility.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Keep research progress, decisions, and pending checkpoints across sessions. Store project context locally, recover essential details when returning, and track why decisions changed so research work can resume with a clear next step.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Configure a terminal status display for Diverga research projects. Show the project name, research stage, checkpoint progress, and memory health, choose among four display presets, and set up or repair the Claude Code integration.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess a social science paper outline in a .qmd file for missing research questions, contributions, hypotheses, data, and analysis plans. Receive criterion ratings and concrete suggestions in a separate report, with causal assumptions assessed when relevant.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Draft and revise scientific manuscripts by organizing evidence into outlines, then developing connected paragraphs. Guides paper structure, citation formatting, figures and tables, and study-specific reporting requirements for research papers and journal submissions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Deep research with hyperresearch, for Claude Code and OpenAI Codex. Use when the user asks for deep research, a research report, a literature review, or a multi-source analysis with verified citations. Checks that the hyperresearch CLI is installed, sets it up in the current project for the agent you are running in, then hands off to the hyperresearch pipeline (a tier-adaptive 16-step pipeline with a persistent source vault). Not for quick lookups one or two searches can answer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
[omh] Business question on market, competitors, pricing: business research brief - turns a market, competitor, pricing, or customer question into a structured evidence-vs-inference brief; for raw link gathering use ulw-research. Use when the user says: research-brief, business-research, business research, research brief, decision brief, pricing decision brief, decision-ready brief, source-backed business research.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use only after explicit Codex `$superloopy:superloopy-research` or Claude Code `/superloopy:superloopy-research` invocation, a research task started with a leading `loopy` or `루피` (such as `loopy research`), or an active Superloopy loop explicitly routing a research deliverable here. Evidence-backed Superloopy research orchestration with automatic advisory usage targets, parallel read-only lanes, per-retrieval verdicts, graded and dated sources, empirical verification, a priced claim ledger, cited synthesis, and optional reports. Do not activate from research, investigate, look-up, summarize, deep-dive, report, or similar vocabulary alone, in any language; ordinary questions, debugging, and implementation context-gathering stay with their primary workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use only after explicit Codex `$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.
Bulk-refresh research entries in ./research/ using parallel research-curator agents. Use when /refresh-research is invoked, stale research needs updating, or bulk re-verification of research entries is requested. Inventories entries by review date and age, runs RT-ICA pre-flight, spawns agents in waves of 5, then validates, reviews, and commits through research-curator. Supports --all, --stale, --category, --layer, and --dry-run flags.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-research, or describes needs like "research report", "topic analysis", "investment research", "做研报", "投研报告", "主题分析", "深度分析", "policy assessment", "industry deep-dive". Not for: pure news commentary (use topic-brief), slide decks (use deckster-slide-generator), one-shot Q&A.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
"Apply action research through Plan-Act-Observe-Reflect cycles and Participatory Action Research (PAR) to generate knowledge while improving practice. Use this skill when the user needs to design practitioner research that integrates inquiry with intervention, facilitate participatory research with stakeholders, structure iterative improvement cycles, or when they ask 'how do I research my own practice', 'how do I involve participants as co-researchers', or 'how do I combine research with practical change'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automate setup, configuration, execution, monitoring, and troubleshooting of AutoResearchClaw — the 23-stage autonomous research pipeline that generates conference-grade papers. Use when the user mentions ResearchClaw, wants to write a research paper autonomously, needs to set up or debug the pipeline, or says research paper, autonomous research, or paper generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.