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概要と使いどころ
The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensi
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standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. standR allows data inspection, quality control, normalization, batch correction and evaluation with informative visualizations.
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An implementation, which takes input data and makes it available for proper batch effect removal by ComBat or Limma. The implementation appropriately handles missing values by dissecting the input matrix into smaller matrices with sufficient data to feed the ComBat or limma algorithm. The adjusted data is returned to the user as a rebuild matrix. The implementation is meant to make as much data available as possible with minimal data loss.
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Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval. We present here the MatrixQCvis package, which provides shiny-based interactive visualization of data quality metrics at the per-sample and per-feature level. It is broadly applicable to quantitative omics data types that come in matrix-like format (features x samples). It enables the detection of low-quality samples, drifts, outliers and batch effects in data sets. Visualiz
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Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AutoML, Prompt Flow, online/batch endpoints, vector stores/RAG, or MLflow/ONNX deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).
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Access a Base Account via the Base MCP server (mcp.base.org) - wallet, portfolio, sending, swapping, signing, x402 payments, batched calls, and transaction history.
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Programmatic inbox management for Smartlead. Enable/disable warmup with correct ramp settings, set signatures in bulk, tag inboxes (active vs insurance), and pull inbox health dashboards. Use after creating a new batch of inboxes via /zapmail-domain-setup-public, or when managing an existing Smartlead account at scale. Triggers on "turn on warmup", "set signatures", "tag inboxes", "inbox health", "set up new inboxes".
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Interactive loop that builds and tunes an AI prompt for evaluating whether a company fits a client's ICP. Run after any list-building skill (disco-like, blitz-list-builder, google-maps-list-builder, prospeo-full-export) to qualify companies before scaling. Iterates batches of 10 companies with user feedback, stops when 2 consecutive rounds have zero corrections, saves the final prompt for reuse. Always uses Claude Code Task sub-agents — never an external API key.
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Upload a CSV of leads + a variants YAML (produced by /campaign-copywriting) to Smartlead as a DRAFT campaign. Handles tag-scoped inbox selection, A/B/C variant assembly, custom field mapping, schedule config, and batch lead upload. ALWAYS creates in DRAFT — you review in Smartlead UI and hit Start manually. Use after /campaign-copywriting, just before the campaign goes live.
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Execute detailed plans in batches with review checkpoints
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Generate high-potential viral title candidates for content across WeChat public account articles, X/Twitter posts, YouTube videos, Bilibili videos, and similar content platforms. Use when the user needs headline/title ideation, batch title generation, platform-specific title adaptation, title-library reuse, title selection, title scoring, or a reusable title workflow based on universal formulas plus separated platform methods such as 公众号, X, YouTube, and B站.
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Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.
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任务创建与参数叉乘。导航时机：修改参数配置解析、批量参数生成、提示词更新逻辑。
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任务排队与执行追踪。导航时机：调试任务状态流转、队列管理、子任务状态更新。
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结果处理与打包。导航时机：修改输出节点识别、多媒体文件处理、结果打包下载逻辑。
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多媒体输出处理。导航时机：添加图片/视频/音频/文本输出处理逻辑。
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结果打包与下载。导航时机：修改压缩包生成、断点续传、Service Worker下载逻辑。
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任务取消与删除。导航时机：修改任务取消逻辑、删除任务相关文件资源。
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输出节点识别与解析。导航时机：添加新的输出节点类型、修改输出提取逻辑。
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Use when a PERSONAL brand needs AI avatar video at scale — three tool tiers, four workflows for single avatar, translation, batch, and hybrid, reference image intake, face, style, logo, and palette replacement, voice clone pairing, anti-detection, and a QA score, with disclosure-law variants for US FTC, EU AI Act, SEA, and LATAM, covering HeyGen and Synthesia. Trigger on 'AI avatar', 'HeyGen video', 'Synthesia', 'talking head AI video', 'translate my videos with AI', 'I cannot be on camera every day'. Not for — the words the avatar says, see `04-script-video-global`; audio-only voice clone and podcast, see `25-voice-clone-podcast-global`; a company product video edit, see `44-video-editor-brief-global`.
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Dung khi mot CA NHAN muon len hinh bang AI thay vi tu quay — pipeline avatar AI: 3 tier cong cu, 4 workflow gom avatar don, dich da ngon ngu, san xuat hang loat va hybrid nguoi that cong AI; nhan anh reference de tao prompt avatar; thay mat, style, logo; ghep voice clone; tranh bi nen tang danh dau; cong bo AI theo Nghi dinh 147/2024 va QA 100 diem. Cong cu HeyGen, Synthesia, ElevenLabs, Captions, Vbee. Kich hoat khi user nhac 'tao avatar AI', 'video HeyGen', 'talking head AI', 'lam video ma ngai lo mat', 'batch video AI', 'dich video sang tieng Anh', 'prompt avatar'. Khong dung cho — clone giong cho podcast va audio thi dung skill 25-voice-clone-podcast; viet loi thoai video thi dung skill 04-script-video; anh tinh thi dung skill 30-thiet-ke-master.
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Dung khi can brief NGUOI KHAC quay video ho — khach hang lam UGC, nhan vien lam EGC, hoac KOC va creator tra phi: tieu chi chon nguoi, huong dan quay tung canh, viec nen va khong nen lam, quyen su dung hinh anh, bang quan ly batch va cach do hieu qua. Kich hoat khi user nhac 'brief UGC', 'brief EGC', 'brief KOC', 'thue creator quay', 'huong dan nhan vien quay video', 'tim KOC o dau', 'creator quay sai y', 'hop dong quyen su dung video'. Khong dung cho — viet loi thoai kich ban video thi dung skill 04-script-video; huong dan editor dung phim thi dung skill 44-brief-video-editor; rai comment seeding duoi bai dang thi dung skill 38-seeding-plan; thue agency hoac production house lam tron goi thi dung skill 67-agency-vendor-brief.
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Use when someone outside the marketing team has to film — a customer for UGC, an employee for EGC, or a paid creator or KOC — and needs a brief: talking points, shooting guide, do and do-not list, usage rights, deliverables, and batch management. Trigger on 'UGC brief', 'creator brief', 'KOC brief', 'brief for employee videos', 'what do I tell the influencer', 'we hired a creator to film'. Also use when the user asks how to get customers to make videos for the brand. Not for — a script the team writes and shoots itself, see `04-script-video-global`; edit direction for footage already shot, see `44-video-editor-brief-global`; posting inside communities, see `38-community-seeding-global`.
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Collect Amazon.com written product reviews at scale through Woot's public review AJAX route, retain every attempt and error log, reconcile partial runs, and normalize exact review text into auditable JSONL. Use for VOC, competitor review mining, low-star complaint analysis, listing research, or batch ASIN review acquisition without Amazon credentials. Amazon data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).
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