4,815 件 ・ 関連度順
概要と使いどころ
Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.
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。
Pass-the-Ticket (PtT) is a lateral movement technique that uses stolen Kerberos tickets (TGT or TGS) to authenticate to services without knowing the user's password. By extracting Kerberos tickets fro
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。
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
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。
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.
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。
Selects biomarker features from high-dimensional omics data using Boruta all-relevant selection, mRMR, LASSO/elastic-net, and stability selection, while controlling the leakage, irreproducibility, and correlated-feature traps that make most published signatures fail to replicate. Use when identifying candidate biomarkers, deciding between an all-relevant and a minimal-optimal selector, or judging whether a selected gene set is reproducible. For unbiased performance estimation of the resulting model see machine-learning/model-validation; for interpreting a trained model see machine-learning/prediction-explanation.
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。
Directly drives a specific vehicle on a running CARLA server — raw VehicleControl (throttle/steer/brake/reverse/hand-brake), Ackermann speed control, vehicle lights, opening/closing doors, and physics-control tuning; ros-info reports the native ROS 2 command topics (vehicle_control_cmd, ackermann_control_cmd) for the hero. Targets the ego by default. Use when the user asks to "drive/steer the car", "accelerate/brake/reverse", "set a target speed", "turn on the headlights/blinkers/brake lights", "open a door", "drive the car from ROS", or "change the vehicle's mass/drag/physics". This is manual control (autopilot off) — for TM-driven traffic use control-traffic.
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。
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
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。
claude-task-workerプラグインのバージョンをインクリメントし、commit-pushでコミット・プッシュしたうえでPRを作成する。引数で `major` / `minor` / `patch` を受け取り、対応する部分をインクリメントする（省略時は `patch`）。「バージョンを上げて」「バージョンアップ」「bump version」「メジャーバージョンを上げて」などのリクエストで使用する。
Predicts protein-coding gene structures (exons, introns, UTRs) in eukaryotic genomes with BRAKER3 (RNA-seq + protein evidence), BRAKER1/BRAKER2, GALBA (protein-only), Funannotate (fungi), GeMoMa (homology projection), or Helixer/Tiberius (deep-learning ab initio). Covers the evidence-first tool decision, mandatory soft-masking, the training-set-quality-dominates principle, OrthoDB clade-partition selection, the one-isoform-per-locus and missing-UTR traps, merge/split errors, and reference bias against orphan genes. Use when annotating a newly assembled eukaryotic genome, choosing a gene-prediction pipeline based on available evidence, or diagnosing a poor annotation.
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。
Start the Openrind Desktop dev stack via Docker and verify real user flows via Chrome MCP. Triggers when user mentions: - "dev-up.sh" - "docker dev stack" - "verify in chrome mcp" - "test the real flow"
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。
Generate realistic, correctly-linked Frappe/ERPNext test records for any DocType using the `bench faker` CLI, then roll them back when done. Use when a test, demo, or local repro needs seed data and the site is missing it — e.g. "I need some Sales Orders", "seed data so I can test this API", "create test Employees in Chennai", or "populate the database to test this endpoint".
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。
Mirror issues and status across issue trackers with stable external-ID mapping to avoid duplicates. Load when syncing GitHub and Linear issues, mirroring ticket status, or keeping two trackers in sync. Also triggers on "issue sync", "sync issues", "mirror issues to", "keep Linear and GitHub in sync", or bidirectional issue tracker updates. Requires API access on both sides — stops if credentials missing.
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。
Predicts protein-coding gene structures (exons, introns, UTRs) in eukaryotic genomes with BRAKER3 (RNA-seq + protein evidence), BRAKER1/BRAKER2, GALBA (protein-only), Funannotate (fungi), GeMoMa (homology projection), or Helixer/Tiberius (deep-learning ab initio). Covers the evidence-first tool decision, mandatory soft-masking, the training-set-quality-dominates principle, OrthoDB clade-partition selection, the one-isoform-per-locus and missing-UTR traps, merge/split errors, and reference bias against orphan genes. Use when annotating a newly assembled eukaryotic genome, choosing a gene-prediction pipeline based on available evidence, or diagnosing a poor annotation.
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 the user asks the economic + operational tradeoffs of broker-mediated freight vs direct shipper relationships — margin difference, capital + operational cost, sales effort, payment terms, relationship investment, when to pursue direct, and the hybrid model. Reference industry research on freight broker margins.
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。
Custom-entry fix for pickers with no way to add a choice (Select, Popover list, DropdownMenu). Use when building or touching any choice control (tier, category, tag, status, owner), `pnpm check:picker-add` names a file, running Pattern Patrol P13, or the user says 'no way to add my own' or 'why can't I type a new one'.
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。
Permanent-delete grooming for leftover Docker builds, agent worktrees, and .next caches. Use when creating or finishing a git worktree, after a local docker build, when the disk is full, or when /tmp or .wt trees were left behind.
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。
Clone a GitHub repository and automatically build a Docker environment for local verification. Creates a verification workspace in WS/, sets up Docker files, launches the environment, and performs health checks.
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 Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
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。
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
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 a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.
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。
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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 context files (CLAUDE.md, .claude/ tree, READMEs, docs) for broken references and verifiably stale content. Runs a deterministic offline link/path checker first, then a bounded semantic review where every finding must cite evidence. Reports findings; fixes only on request. Use when the user says "docs check", "/docs-checker", "check the docs for stale content", "audit CLAUDE.md", or when a scheduled cloud routine fires.
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 and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.
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。
Provides expert guidance on Development Containers (devcontainers) — creating, configuring, and optimising containerised development environments using the Dev Container Specification. This skill should be used when users ask about devcontainer.json, .devcontainer setup, Dev Container Features or Templates, pre-building images, multi-container workflows, Docker-in-Docker, cloud development environments (Codespaces, DevPod), or troubleshooting container performance and permission issues.
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。