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概要と使いどころ
Learn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.
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 with BAAI's Aquila models — open bilingual models from Beijing's academy with research transparency.
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。
Writing abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.
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。
Optimize content for AI answer engines (AEO/GEO): citation-friendly structure, factual precision, and measuring AI visibility. Use when AI search drives discovery.
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。
Label smarter, not more — pick the most informative examples for annotation to maximize model gains per label.
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。
Walks a user through connecting the judge models this plugin can use — Codex, OpenCode, OpenRouter (or any compatible endpoint: 9router, z.ai, Moonshot), Gemini — and through picking models, including "research current models for me". Use for "multi setup", "set up multi", "configure judges/reviewers/ backends", "connect 9router", "change/pick models", "onboarding", or whenever a probe shows missing backends and the user needs to know what to do about it.
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 a PhysicsIntern research workspace in the current folder. Run only when the user explicitly invokes it to set up a new physics/maths research workspace.
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 a PhysicsIntern research workspace in the current folder.
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。
Use when the user wants to be taught an Anthropic product or feature - "teach me Claude Code", "learn Cowork", "academy lesson", "train me on MCP or the Claude API", "quiz me", "next lesson" - or asks for structured learning rather than a one-off answer. Covers Claude Code, Claude.ai, Cowork, Tag, Platform/API, and AI Fluency. Do NOT use for auditing how the user already works (use academy-review) or for mid-task help where the user just wants their task done.
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。
Reverse engineers binaries using radare2/rizin interactively, covering analysis initialization, navigation, disassembly and graph views, patching, and the visual mode workflow. Activates for requests to reverse a binary with radare2 or rizin, learn r2 commands, or navigate and disassemble a sample in r2.
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。
Captures and analyzes malware network traffic from a detonation: extracting C2 endpoints, HTTP/DNS patterns, TLS metadata (JA3/SNI), and beaconing from a PCAP to build network IOCs and detection. Activates for requests to analyze malware PCAP, extract C2 from traffic, or study network behavior.
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。
Analyzes how a ransomware sample encrypts files: identifying the crypto scheme (symmetric/asymmetric/hybrid), key handling, file targeting and extension/marker changes, shadow-copy deletion, and ransom-note artifacts. Activates for requests to analyze ransomware encryption, assess decryptability, or study ransomware behavior.
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。
Research topic by searching vault and synthesizing findings
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。
Research a topic and save findings to vault
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。
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.
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。
Develop research proposals with solicitation alignment, reviewer-focused logic, evidence-bounded preliminary results, milestones, risks, and compelling figures. Use for federal, foundation, equipment, partnership, or internal research proposals.
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。
Provide constructive, evidence-based research mentoring feedback on student manuscripts, proposals, analyses, code, figures, and presentations. Use for advisor-style review that teaches the next improvement without impersonating an advisor or making unsupported scientific judgments.
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 and revise rigorous research narratives, literature reviews, manuscript sections, citations, and figure discussions. Use for technical introductions, methods, results, discussions, review articles, abstracts, or related-work sections.
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。
AutoResearchClaw 23 阶段自主研究管线的中文技能。自动设置、交互式配置、执行监控和故障诊断。当用户提到 ResearchClaw、自主研究、论文生成、研究管线时使用。
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。
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.
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。
对任何主题进行系统调研，自动产出图文并茂的 Markdown 文档（含 Mermaid 结构图 + qwen-image 可视化），保存到认知结构对应维度的知识库，并自动注册到文档分类清单和知识图谱。当用户说「帮我调研/调研一下/系统调研/研究一下/帮我系统了解/深度研究 [主题]」时触发。
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。
Complete methodology for computing publication-quality cumulative abnormal returns with proper event-study test statistics, matching the robustness of Kaspereit's eventstudy2 for Stata. Covers dateline construction, event-date mapping, estimation and event windows, thin-trading adjustment, OLS with Theil prediction error correction, abnormal return computation, CAR/CAAR/AAR accumulation, boundary contamination guards, and common tests such as Patell, BMP, Kolari-Pynnonen, generalized sign, Wilcoxon, and GRANK-T. Use when the user mentions abnormal returns, event windows, market-model regressions, CARs, CAAR, AAR, eventstudy2, thin trading, trade-to-trade returns, or event-study test statistics.
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。
Deep codebase exploration, architectural research, and solution discovery. Use when investigating problems, understanding complex flows, or evaluating technical approaches without jumping straight into code mutation or TDD.
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。
Use when a task needs the judgment of an education administrator in a non-traditional setting — adult/continuing education, vocational or trade school, corporate/organizational training department, or other education programs outside standard K-12 or degree-granting postsecondary institutions. Covers the O*NET "Education Administrators, All Other" catch-all.
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。