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Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.
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Read, query, and write WooCommerce product variations correctly — the WC_Product_Variable (parent) vs WC_Product_Variation (child) class split, the parent's get_variation_prices( $for_display ) cached aggregation and how to bust the wc_var_prices_<id> transient, programmatic variation creation via WC_Product_Variation + set_parent_id + set_attributes + save followed by WC_Product_Variable::sync, the inherited-vs-own variation stock model (parent flag, variation flag, derived stock_status), get_available_variations for frontend variation data, and the $for_display tax-handling parameter that breaks display logic when forgotten. Use when scaffolding plugin code that creates / queries / modifies variations or when debugging stale variation data after programmatic writes. Triggers on WC_Product_Variation, WC_Product_Variable, get_variation_prices, get_available_variations, product_variation post type, wc_var_prices, sync_variation, or programmatic variation creation context.
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Use when working with Crossplane — crossplane Kubernetes-native infrastructure management. Covers managed resources, compositions, provider configurations, composite resource definitions (XRDs), claims, and provider health. Use when managing Crossplane resources, debugging provisioning failures, inspecting compositions, or auditing cloud resource status.
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組織の生きているペイン（secretary / dispatcher / worker）へ tmux で**直接入る** ための **コマンドを出力するだけ** の read-only スキル。`mcp__org-broker__list_panes`（論理ペイン） と `/usr/bin/tmux -L claude-org-broker list-panes -a`（pane_id ↔ session マッピング）を pane_id（%N）で突き合わせ、各ペインに role + name(task_id) ラベル付きの attach コマンドを 生成する（既定は読取書込 = `-r` 無し / 読取専用 `-r` はオプション / デタッチは `Ctrl-b d`）。 外側が tmux のときに今の tmux を分割してワーカー（と dispatcher）を並べる `split-window` コマンドも出す。 特定のペインの画面を直接見たい・入りたい・並べて見たい、attach コマンドを知りたいという依頼で発動。 自分で attach / split はせず・ペインも一切変更しない（コマンド文字列とペイン一覧表を表示するのみ）。 作業委譲（org-delegate）・ダッシュボードで状況一覧（org-dashboard）・watcher 停止（org-attention-stop） には発動しない。
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Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
中文简介正在准备中。当前显示原文说明。
Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.
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Annotate CLIP-seq peaks or crosslink sites to RNA features (5'UTR, CDS, 3'UTR, intron, splice junction, snoRNA, tRNA, ncRNA, repeat elements) with ChIPseeker, RCAS, RBP-Maps (Yeo splicing regulatory maps), and bedtools, applying feature-priority hierarchies, transcript-context resolution, and metagene aggregation. Use when characterizing where in transcripts an RBP binds, comparing peak distribution across regions, generating splicing-regulatory maps relative to alternative-splicing events, or distinguishing exonic vs intronic vs UTR binding.
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Quantifies alternative splicing as PSI (percent spliced in) from RNA-seq using rMATS-turbo (BAM-based event), SUPPA2 (TPM-based event), MAJIQ V3 (LSV-based Bayesian), leafcutter (annotation-free intron clusters), VAST-TOOLS (cross-species with microexon support), Shiba (junction-imbalance-corrected, 2025 SOTA at low coverage), or IRFinder-S (intron retention coverage-aware). Distinguishes the five canonical event classes (SE, A5SS, A3SS, MXE, RI), special classes (microexons, exitrons, AFE/ALE), intron retention subtypes (canonical RI vs detained introns), and applies effective-length normalization. Use when measuring splice-site usage or isoform inclusion ratios from short-read RNA-seq.
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Creates sashimi-style plots showing RNA-seq read coverage and splice junction counts using ggsashimi (general-purpose, condition-grouped overlays), rmats2sashimiplot (rMATS-output-aware), MAJIQ-VOILA (LSV posteriors interactive HTML), leafviz (leafcutter clusters Shiny), Jutils (tool-agnostic heatmaps and sashimi for rMATS/leafcutter/SUPPA2/MAJIQ output), or pyGenomeTracks (multi-track publication figures). Tool choice depends on the upstream differential-splicing tool's output format and the publication vs interactive use case. Use when visualizing specific splicing events, validating differential splicing calls, or producing publication-quality figures.
中文简介正在准备中。当前显示原文说明。
Annotate CLIP-seq peaks or crosslink sites to RNA features (5'UTR, CDS, 3'UTR, intron, splice junction, snoRNA, tRNA, ncRNA, repeat elements) with ChIPseeker, RCAS, RBP-Maps (Yeo splicing regulatory maps), and bedtools, applying feature-priority hierarchies, transcript-context resolution, and metagene aggregation. Use when characterizing where in transcripts an RBP binds, comparing peak distribution across regions, generating splicing-regulatory maps relative to alternative-splicing events, or distinguishing exonic vs intronic vs UTR binding.
中文简介正在准备中。当前显示原文说明。
Quantifies alternative splicing as PSI (percent spliced in) from RNA-seq using rMATS-turbo (BAM-based event), SUPPA2 (TPM-based event), MAJIQ V3 (LSV-based Bayesian), leafcutter (annotation-free intron clusters), VAST-TOOLS (cross-species with microexon support), Shiba (junction-imbalance-corrected, 2025 SOTA at low coverage), or IRFinder-S (intron retention coverage-aware). Distinguishes the five canonical event classes (SE, A5SS, A3SS, MXE, RI), special classes (microexons, exitrons, AFE/ALE), intron retention subtypes (canonical RI vs detained introns), and applies effective-length normalization. Use when measuring splice-site usage or isoform inclusion ratios from short-read RNA-seq.
中文简介正在准备中。当前显示原文说明。
Creates sashimi-style plots showing RNA-seq read coverage and splice junction counts using ggsashimi (general-purpose, condition-grouped overlays), rmats2sashimiplot (rMATS-output-aware), MAJIQ-VOILA (LSV posteriors interactive HTML), leafviz (leafcutter clusters Shiny), Jutils (tool-agnostic heatmaps and sashimi for rMATS/leafcutter/SUPPA2/MAJIQ output), or pyGenomeTracks (multi-track publication figures). Tool choice depends on the upstream differential-splicing tool's output format and the publication vs interactive use case. Use when visualizing specific splicing events, validating differential splicing calls, or producing publication-quality figures.
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Find and identify the CCSPlayer_ItemServices_DropActivePlayerWeapon virtual function in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the "drop the currently held weapon" vfunc by RTTI-walking the CCSPlayer_ItemServices vtable and confirming the candidate reads the player's active weapon and forwards it, with a computed toss velocity, into the weapon's own drop vfunc. Trigger: CCSPlayer_ItemServices_DropActivePlayerWeapon
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Find and identify the CCSPlayerController_Respawn virtual function in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the Respawn vfunc slot by RTTI-walking the CCSPlayerController vtable and confirming the candidate's decompiled body performs a full controller-state reset (networked flags, per-round fields, comeback/damage-info bookkeeping) rather than any other lifecycle vfunc. Trigger: CCSPlayerController_Respawn
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Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
中文简介正在准备中。当前显示原文说明。
Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.
中文简介正在准备中。当前显示原文说明。
用于提取PDF中的文字、表格和图片，合并、拆分或旋转页面，创建文档并填写表单。还支持扫描文档文字识别，以及添加或解除密码保护。
创建、编辑和读取PowerPoint演示文稿与模板，提取文字、合并或拆分幻灯片。检查文件结构和页面显示，并修正文字截断与元素重叠。
将 Git 差异与修改目的对照，找出可能无关的文件、新增依赖等范围扩张信号，给出保留、拆分或说明必要性的判断，并整理拆分方案。
Inspect compressed JavaScript bundles, the files that package application code, to find excessive size and loading costs. Recommend splitting code, removing unused portions, and reviewing dependencies based on measured effects on page responsiveness.
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Review large JavaScript bundles to find code that can load later. Suggest dynamic imports, which load modules when needed, and page-level splitting, with loading states for heavy libraries and features outside the initial view.
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Review CSS color definitions and convert palettes to oklch(), a color format designed around human perception. Use consistent lightness steps to build color scales, dark-mode palettes, and interaction states, with guidance for wide-gamut displays.
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Create and revise fixed-layout PDFs such as reports, guides, and printable documents. The skill also covers reading, merging, splitting, cropping, and filling existing PDFs, with rendering checks and visual review before delivery.
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Read, create, and organize PDF files, including merging documents, splitting pages, extracting tables, and filling forms. It also covers password protection and OCR, which recognizes text in scanned pages for extraction or search.
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