「search」の検索結果

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。

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N-round adversarial review pipeline for empirical research output — the chain from data to LaTeX tables to a manuscript that cites them. A Claude drafter proposes minimal diffs, a deterministic mechanical battery gates every diff from a clean state with a regression gate, a Codex reviewer files check-backed critiques, and a blind judge panel decides residual disputes. Manual-invoke ONLY: trigger when the user explicitly runs /adversarial-empirical-review or names 'adversarial-empirical-review' / 'adversarial empirical review'. Do NOT auto-trigger on generic 'review my results', 'check my tables', or manuscript-editing requests. For prose-style refinement use style-emulation instead; this skill AUDITS WHETHER THE TABLES ARE CORRECT — that each number in the tables is what the analysis code computes, reproduces from the data, and is internally consistent. It is an empirical + code review: the manuscript is read only to resolve table numbering, and prose is not examined.

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。

Configure the project's game engine and version. Pins the engine in CLAUDE.md, detects knowledge gaps, and populates engine reference docs via WebSearch when the version is beyond the LLM's training data.

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。

Search the built-in assets of the Unity Editor located in the built-in resources: Resources/unity_builtin_extra. Doesn't support GUIDs since built-in assets do not have them.

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 a Criminal Justice and Law Enforcement Teacher, Postsecondary — grading or defending a crime-trend assignment that must distinguish rate from raw count, mapping a CJ curriculum against ACJS certification standards or a state POST lesson-plan hour requirement, screening a student research protocol involving parolees, probationers, or incarcerated subjects for IRB Subpart C, or setting the liability and confidentiality terms for a ride-along or corrections practicum placement.

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 a correctional officer or jailer — scoring an inmate-classification instrument, deciding a use-of-force response level, running a cell/contraband search, preparing evidence for a disciplinary hearing, or screening an inmate for suicide/mental-health crisis risk.

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 a Bioinformatics Scientist — designing a differential-expression or GWAS analysis with correct multiple-testing correction, calling and triaging variants from NGS data using genotype-likelihood confidence rather than raw allele counts, interpreting a BLAST/DIAMOND homology search, choosing or building a genomics pipeline (aligner, caller, normalization method) for a specific data-generating process, or judging whether a computational-biology analysis's statistical design actually supports the biological claim being made. Distinct from a bioinformatics-technician (executes and QC-gates an established pipeline someone else designed) and a data-scientist (general product/experimentation judgment, not genomics-specific statistics) — this role owns which method and statistical model a genomics question requires, and why.

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 a bioinformatics technician — running or QC-gating a next-generation sequencing pipeline, triaging a failed or borderline sequencing run, deciding whether a variant call set is clinically/research reportable, or writing a sample-level QC report.

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 a Biology Professor at a research university — writing or defending an NIH/NSF grant budget, deciding authorship order on a paper, navigating an IACUC or biosafety protocol, mentoring a PhD student through a stalled project, or converting a course when active-learning data doesn't match student pushback.

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 a Biologist — designing a study and identifying its true experimental unit before data collection starts, running a power analysis to size a sample, judging whether a published or preclinical finding warrants trust without independent replication, sequencing IACUC/IBC/field-permit approvals before biosafety or wildlife work begins, or scoping a grant-funded research plan against realistic funding odds.

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Use when a task needs the judgment of an Area, Ethnic, or Cultural Studies Professor — designing a joint-appointment course load across two departments, prepping a tenure or mid-tenure review file for interdisciplinary scholarship, deciding whether a course survives an enrollment or political-pressure threat, evaluating community-engaged research for a merit case, or writing a Title VI/FLAS-adjacent grant narrative.

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Use when a task needs the judgment of a tenure-track or tenured Agricultural Sciences faculty member at a land-grant university — deciding whether to submit a grant this cycle versus wait, allocating time across the teaching/research/extension appointment split, diagnosing a stalled graduate student or field trial, or drafting a tenure-and-promotion dossier narrative.

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。

Verify code-review or security-review findings for false positives using deep codebase tracing, framework-aware analysis, and web research. Produces a .verified.md report alongside the original. Use when a review report has been generated and needs independent verification, or when user runs /verify-findings, mentions "verify review", "check false positives", or "validate 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。

Check Spring Boot skill content freshness against latest research and flag skills needing updates. Use when running /spring-refresh, or when user mentions "refresh spring skills", "spring boot update check", "skill freshness", "stale spring content", "update spring boot skills".

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Scan a project to detect configured quality and testing tools across JVM (Gradle/Maven), Android (AGP/Compose/KMP), Node.js/TypeScript, and Python ecosystems. Cross-reference against research-backed recommendations and assist with setup. Auto-detects project type(s) including monorepos with mixed ecosystems. Use when user asks to "audit tooling", "recommend tools", "quality stack", "what tools am I missing", "setup eslint", "setup detekt", "add coverage", "add ruff", "configure CI quality pipeline", "scan project tools", "tooling audit", "android tooling", "android quality", "compose testing", "kmp testing", or "screenshot testing".

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。

Audit a site or page against Google's OFFICIAL AI optimization guidance — readiness for AI Overviews and AI Mode, grounded in Google's published ai-optimization-guide and ai-features docs (not third-party GEO theory). Use when user says "AI optimization", "AI Overviews", "AI mode", "AI search readiness", "optimize for AI", or "GEO audit".

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。

Detect content decay by identifying pages that are losing both clicks and impressions over a 90-day comparison window in Google Search Console. Surfaces pages with true long-term decline (not seasonal variation) and assigns decay severity ratings. Use when user says "content decay", "declining pages", "losing rankings", "pages losing traffic over time", or "90 day decline".

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。

Get a domain's top organic keyword rankings from Ahrefs: keyword, position, search volume, CPC, estimated traffic, and traffic share. Use when user says "Ahrefs keywords", "organic keywords", "keyword rankings", "what keywords rank", or "ranking keywords".

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。

Find quick SEO wins by identifying high-impression, low-CTR keywords using Google Search Console data. Surfaces keywords already ranking where better titles or content expansion could quickly boost traffic. Use when user says "GSC opportunities", "quick wins", "low CTR keywords", "high impressions low clicks", or "easy SEO wins".

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。

Discover newly ranking keywords using Google Search Console data. Finds queries that had zero clicks or impressions in the prior 28 days but started appearing in the current period, revealing emerging content opportunities. Use when user says "new keywords", "new rankings", "keywords started ranking", "recently ranking", or "new queries".

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。

Content quality and E-E-A-T analysis with AI citation readiness assessment. Enhanced with live Ahrefs (actual keyword rankings, positions) and GSC (search query performance) data to validate static E-E-A-T analysis with real user behavior. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".

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。

Detect ranking drops and lost traffic using Google Search Console data. Compares the last 28 days against the prior 28-day period to surface pages and keywords with the biggest declines. Use when user says "GSC drops", "ranking drops", "lost traffic", "pages losing rankings", or "keyword drops".

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。

Compare Google Search Console performance between two time periods to identify trends and changes. Supports month-over-month (MoM), year-over-year (YoY), or custom date ranges. Use when user says "GSC compare", "period comparison", "month over month", "year over year", "compare performance", "MoM", or "YoY".

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。