調査、論文、教育、資格学習（4,143 件）
概要と使いどころ
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
日本語の概要は準備中です。原文の説明を表示しています。
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
日本語の概要は準備中です。原文の説明を表示しています。
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Supports the user's stated goal of understanding design choices as learning opportunities.
日本語の概要は準備中です。原文の説明を表示しています。
Generates a repo-specific orientation.md resource for the learning-opportunities skill. Invoke directly when the user asks for repo orientation; do not trigger automatically.
日本語の概要は準備中です。原文の説明を表示しています。
Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
日本語の概要は準備中です。原文の説明を表示しています。
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
日本語の概要は準備中です。原文の説明を表示しています。
Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.
日本語の概要は準備中です。原文の説明を表示しています。
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Use when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.
日本語の概要は準備中です。原文の説明を表示しています。
Compile current scholarly evidence for a scientific manuscript or research brief. Use when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source verification, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
日本語の概要は準備中です。原文の説明を表示しています。
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
日本語の概要は準備中です。原文の説明を表示しています。
理解化学科研自然语言需求，生成带来源绑定的 ResearchIntent，并通过本地确定性校验路由到七个化学 Skill、受控 Skill 链或 Workflow A/B。用于复杂、多步、模糊、需要自动编排，或可能联网、产生费用和发送数据的化学身份、结构、特征、分子库、反应和已有路线任务；毒性预测、路线生成、实验安全和放大审批不支持。
日本語の概要は準備中です。原文の説明を表示しています。
Query Google NotebookLM notebooks for source-grounded, citation-backed answers from user-uploaded documents. Manages notebook library, handles Google authentication, and supports smart discovery. Works standalone via /blog notebooklm or internally from blog-write and blog-researcher for source-grounded research context. Falls back gracefully when not configured. Use when user says "notebooklm", "notebook", "query notebook", "ask notebook", "notebook research", "source grounded research", "document query", "notebook library".
日本語の概要は準備中です。原文の説明を表示しています。
Query a user's Gemini Notebook (formerly NotebookLM) for source-grounded answers through a logged-in browser session on their Google account. Uses the account's usage limits and writes browser state. Runs only on an explicit request: /blog notebooklm, "ask my Gemini Notebook", "ask my NotebookLM notebook", or "query my notebook library". Also used by blog-write when the user named a notebook for research. Not for generic research or note-taking.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold and operate Claude Blog Brain, a source-cited Obsidian brain for blog content creation, optimization, and management dual-optimized for Google rankings (E-E-A-T, the 2026 core updates) and AI citations (GEO/AEO), spanning writing, rewriting and freshness, SERP-informed briefs and outlines, editorial calendars and strategy, semantic topic clusters, schema and internal linking, multilingual publishing, the FLOW framework, factchecking, personas, distribution, and the blog delivery contract, grounded in the claude-blog skill. Use when the user says "claude-blog-brain", "Claude Blog Brain", "create a blog content creation, optimization, and management dual-optimized for Google rankings (E-E-A-T, the 2026 core updates) and AI citations (GEO/AEO), spanning writing, rewriting and freshness, SERP-informed briefs and outlines, editorial calendars and strategy, semantic topic clusters, schema and internal linking, multilingual publishing, the FLOW framework, factchecking, personas, distribution, and the blog delivery contract, grounded in the claude-blog skill brain", "import sources", "synthesize plan", "render report", or wants a persistent vault-backed operating system for blog content creation, optimization, and management dual-optimized for Google rankings (E-E-A-T, the 2026 core updates) and AI citations (GEO/AEO), spanning writing, rewriting and freshness, SERP-informed briefs and outlines, editorial calendars and strategy, semantic topic clusters, schema and internal linking, multilingual publishing, the FLOW framework, factchecking, personas, distribution, and the blog delivery contract, grounded in the claude-blog skill.
日本語の概要は準備中です。原文の説明を表示しています。
对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。
日本語の概要は準備中です。原文の説明を表示しています。
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
日本語の概要は準備中です。原文の説明を表示しています。
Read research outline, launch independent agent for each item for deep research. Disable task output.
日本語の概要は準備中です。原文の説明を表示しています。
Add field definitions to existing research outline.
日本語の概要は準備中です。原文の説明を表示しています。
将deep调研结果汇总为markdown报告，覆盖所有字段，跳过不确定值。
日本語の概要は準備中です。原文の説明を表示しています。
向现有调研outline补充字段定义。
日本語の概要は準備中です。原文の説明を表示しています。
Add items (research objects) to existing research outline.
日本語の概要は準備中です。原文の説明を表示しています。
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
日本語の概要は準備中です。原文の説明を表示しています。
向现有调研outline补充items（调研对象）。
日本語の概要は準備中です。原文の説明を表示しています。