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概要と使いどころ
Set up or refine open-source .NET code-quality gates for CI: formatting, `.editorconfig`, SDK analyzers, third-party analyzers, coverage, mutation testing, architecture tests, and security scanning. Use when a .NET repo needs an explicit quality stack in `AGENTS.md`, docs, or pipeline YAML.
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 DPO training pipelines for AI alignment. TRIGGERS - Use when user needs help with ai-dpo-trainer related tasks.
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。
Design document processing pipelines for extraction and routing. TRIGGERS - Use when user needs help with ai-document-processor related tasks.
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 AI audio processing pipelines. TRIGGERS - Use when user needs help with ai-audio-processor related tasks.
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 Solana applications with Helius infrastructure. Covers transaction sending (Sender), asset/NFT queries (DAS API), real-time streaming (WebSockets, Laserstream), event pipelines (webhooks), priority fees, wallet analysis, and agent onboarding.
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。
VictoriaLogs provider for obz. Supports log search using LogsQL, a purpose-built query language with _msg, _time, and _stream filters plus pipes for transformation. This skill should be used when the user mentions "VictoriaLogs", "LogsQL", "obz log search -p vl", or needs to search logs from a VL backend.
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 this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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。
批量简历生产线识别：在一批简历中检测版式、句式、项目组合、开源模式的结构性雷同，识别可能出自同一简历工具或培训模板的群体，产出的是"这些共性表述不具备区分度"的提问策略建议，绝不用于淘汰任何候选人。凡是同时面对多份简历要做批量判断就使用本技能——包括用户说"这批简历怎么都长一个样""这几个人是不是一个班出来的""帮我筛一下这十份简历"时。
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。
隐私数据法律顾问。负责隐私问题分类、PIA 生成、DPA 审查、PIPL 合规检查、个人信息权利请求规划、隐私政策差异分析。当企业法务主理人（法衡中）调度执行隐私数据相关任务时激活。典型问题：此处理活动是否需要 PIA？审查 DPA；规划个人信息权利响应。
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。
中国企业法务本地化工具包，整合税务知识、涉税文书模板、合同风险扫描、PIPL 合规、诉讼费估算和精选合规脚本。用于中国境内合同、劳动、隐私、税务和合规工作流。
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 this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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 toolkit for programmatic video creation with Remotion + React. Covers animations, timing, rendering (CLI/Node.js/Lambda/Cloud Run), captions, 3D, charts, text effects, transitions, and media handling. Use when writing Remotion code, building video generation pipelines, or creating data-driven video templates.
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。
Chinese journal scout — searches candidate journals via Wanfang API, performs L1 deterministic rejection screening (language/funding/subject mismatch), and L2 citation fingerprint analysis (reference journal distribution → academic ecosystem positioning).
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。
International journal scout — searches candidate SCI/SSCI/EI/Scopus journals via Wanfang foreign journal API, performs L1 deterministic rejection screening, and L2 citation fingerprint analysis.
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。
Chinese journal matcher — performs L3 6-dimensional matching (keywords, cited direction, trend, solicitation, institution, cross-discipline), calculates conditional acceptance probability with review cycle estimation, and outputs tiered submission strategy (aspiration-stable-safety) using 4-layer weighted ranking.
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。
International journal matcher — performs L3 6-dimensional matching for SCI/SSCI/EI/Scopus journals, computes conditional acceptance probability with review cycle estimation, applies 4-layer weighted ranking, and outputs tiered submission strategy including CAS warning screening and Chinese scholar friendliness analysis.
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 Quarkus + LangChain4j projects end-to-end and add agentic components to existing ones — AI services, tools, agents and multi-agent workflows, RAG pipelines, MCP clients and servers (Model Context Protocol), guardrails, and embedding store setups. Use this whenever the user wants a new Quarkus + LangChain4j project or module created, or an agentic component added to an existing project in this stack, including a baseline pom.xml, application.properties, project layout, or starter classes.
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 asks to create, edit, rebuild, or refine editable diagrams in `.drawio` / diagrams.net format, especially for academic figures such as system architecture diagrams, technical roadmaps, workflow diagrams, method pipelines, module relationship diagrams, and experiment flowcharts. Use this skill when the user wants publication-ready outputs with both an editable source file and a PNG export, or when an existing figure image needs to be rebuilt into a clean editable academic-style diagram.
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 this skill when applying VCSDD to Python projects. Provides hypothesis property testing patterns, mutmut mutation testing, and pytest integration for the VCSDD pipeline.
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。
Initialize a VCSDD feature pipeline. Creates the .vcsdd/features/<name>/ directory tree, sets mode (strict|lean), and activates the feature. Must be run before any other VCSDD command.
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。
Display the current VCSDD pipeline status for the active (or specified) feature. Shows phase, mode, sprint count, open findings, pending proofs, and the traceability summary.
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 this skill when committing VCSDD pipeline artifacts to git. Provides conventional commit message format, phase tag patterns, and atomic staging strategies.
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 this skill when applying VCSDD to TypeScript/JavaScript projects. Provides fast-check property testing patterns, Stryker mutation testing, and vitest/jest integration for the VCSDD pipeline.
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。
Run an end-to-end GEO visibility measurement through a real AI interface, persist the captures, and return a portable JSON run artifact plus optional PDF/dashboard outputs. Use automatically on an explicit request to measure a brand's AI-search visibility, and as a composable data-collection step inside another agent workflow; the user should not have to launch the pipeline or dashboard manually.
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。