1.1천건 · 관련도순
Assess AI agents and MCP tools for malicious instructions, tool misuse, permission violations, and data leaks. The skill organizes checks across applications, identity, data, deployment, and models, with references for each risk area.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Process mass spectrometry data in Python with PyOpenMS. Read common file formats, smooth and normalize signals, detect peaks, align samples, and process peptide identification results for protein and metabolite quantification workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Analyze genomic regions with gtars using Python or command-line tools. Find overlaps, generate coverage tracks showing read density, prepare regions as tokens for machine learning, and split single-cell fragment data for further analysis.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions. Use when visualizing ChIP-seq signal and peaks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calls ChIP-seq peaks with MACS3, MACS2, HOMER, or SPP across narrow (TF) and broad (histone) modes. Handles input control matching, fragment-size modeling vs --nomodel, effective genome size, ENCODE-style IDR vs naive overlap, hyper-ChIPable artifacts, and aligner-specific shifts. Use when calling peaks from ChIP-seq alignments, choosing between narrow vs broad mode for a histone mark, deciding model vs nomodel for low-depth data, applying ENCODE pseudoreplicate IDR, or reconciling MACS vs HOMER vs SPP results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. It contains two separate peak callers, one for consensus peaks from biological or technical replicates, and one for differential peaks from multi-replicate multi-condition experiments. In differential peak calling, epigraHMM provides window-specific posterior probabilities associated with every possible combinatorial pattern of read enrichment across conditions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying IoT Edge modules, GPU/Kubernetes apps, DeepStream workloads, Arc GitOps, or local ARM integrations, and other Azure Stack Edge related development tasks. Not for Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Azure Virtual Machines (use azure-virtual-machines).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert knowledge for Azure Anyscale On Azure development including limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when registering AKS as Anyscale clouds, wiring ACR images, enabling Private Link/RBAC, ARM-based deployments, or region checks, and other Azure Anyscale On Azure related development tasks. Not for Azure Databricks (use azure-databricks), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Machine Learning (use azure-machine-learning), Azure HDInsight (use azure-hdinsight).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Find leaked secrets in source code, Git history, build artifacts, and infrastructure — and audit the secrets-management posture preventing future leaks. Use when the user mentions 'secrets audit,' 'secret scanning,' 'leaked credentials,' 'API key in code,' 'gitleaks,' 'trufflehog,' 'git history scan,' 'secrets management,' 'vault audit,' 'rotation policy,' 'AWS Secrets Manager,' 'HashiCorp Vault,' 'Doppler,' '1Password Secrets Automation,' 'sealed-secrets,' 'External Secrets Operator,' or needs to find or prevent credential exposure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
使用 akshare 获取中国金融市场实时数据和历史数据。当需要查询A股、港股、美股、指数、基金、期货等金融产品的实时行情、历史数据、财务报表时使用该技能。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Instruments code to track the flow of untrusted or sensitive data at runtime, enabling detection of injection vulnerabilities, data leaks, and privilege violations. Use when users need to: (1) Track untrusted input propagation through code, (2) Detect SQL injection, XSS, or command injection vulnerabilities, (3) Identify sensitive data leaks, (4) Monitor privilege escalation paths, (5) Perform dynamic taint analysis for security testing. Supports Python, Java, JavaScript, and C/C++ with configurable taint sources and sinks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert in gamification mechanics - points, badges, streaks, progress bars, and the psychology that makes them work. Covers variable reward systems, progress mechanics, social competition, and ethical considerations. Knows how to create engagement without manipulation. Use when "gamification, points, badges, streaks, leaderboard, achievements, engagement, retention loop, " mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Smart agentic web data extraction with multi-strategy scraping (Crawl4AI v4, Firecrawl), LLM extraction loops, anti-bot bypass, and structured export / Ekstraksi data web cerdas dan agentic dengan scraping multi-strategi (Crawl4AI v4, Firecrawl), ekstraksi LLM, bypass anti-bot, dan ekspor terstruktur.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guide for reverse-engineering UI/UX interactions from screen-recordings and spatial video, extracting animation spring curves, and generating pixel-perfect Tailwind CSS v4 and Framer Motion code / Panduan ahli rekayasa balik interaksi UI/UX dari rekaman layar dan video spasial, ekstraksi kurva pegas animasi, dan pembuatan kode presisi Tailwind CSS v4 serta Framer Motion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prevents private infrastructure details (node hostnames, internal project names, local usernames and personal emails, absolute home paths, private and VPN IP ranges) from leaking into public repositories through commits, PRs, docs or release artifacts. Use when working in a public or soon-to-be-public repo, before commits or releases, when writing deployment docs for an OSS project, or when the user asks to "set up the privacy guard", "install privacy-guard", "check for leaks", "protect this public repo". Bootstraps a pre-commit hook backed by a gitignored local denylist plus gitleaks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
[Alpha] Experimental Azure environment builder for infrastructure and deployment design. Use when building Azure infrastructure, generating Bicep with AVM modules, deploying apps to App Service/AKS/Container Apps, designing Hub-Spoke/AKS/AI Foundry architectures, or creating low-cost Azure operations demos.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Investigate Azure incidents and service degradations with a read-only workflow using Azure CLI, Resource Health, Activity Log, metrics, resource logs, and official Microsoft docs. Use when troubleshooting Azure outages, Resource Health alerts, Azure Firewall or DNS failures, ExpressRoute or BGP instability, VM availability problems, AKS incidents, App Service failures, database connectivity issues, Entra ID sign-in problems, load balancer issues, platform-vs-workload cutover, or drafting a troubleshooting report. Triggers on 'Azure トラブルシューティング', '障害調査', '切り分け', 'Resource Health', '復旧確認', 'Azure Firewall', 'DNS', 'ExpressRoute', 'VPN Gateway', 'BGP', 'AKS', 'App Service', 'SQL', 'PostgreSQL', 'Cosmos DB', 'Entra ID', 'incident', 'degraded', 'unavailable'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for annotating ENCODE peaks with genomic features using ChIPseeker and GREAT. Use when users need to assign peaks to genes, determine genomic feature distribution (promoter, intron, intergenic), or perform gene ontology enrichment of peak-associated genes. Trigger on: peak annotation, ChIPseeker, GREAT, peak to gene, genomic feature, promoter enrichment, gene ontology, peak distribution, TSS distance, nearest gene.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide for de novo and known motif enrichment analysis of ENCODE ChIP-seq and ATAC-seq peaks using HOMER and MEME Suite. Use when users need to discover TF binding motifs in peaks, validate ChIP-seq targets, or find co-binding partners. Trigger on: motif analysis, HOMER, MEME, de novo motif, motif enrichment, findMotifsGenome, AME, MEME-ChIP, known motif, TF binding motif, co-factor, motif discovery.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calls ChIP-seq peaks with MACS3, MACS2, HOMER, or SPP across narrow (TF) and broad (histone) modes. Handles input control matching, fragment-size modeling vs --nomodel, effective genome size, ENCODE-style IDR vs naive overlap, hyper-ChIPable artifacts, and aligner-specific shifts. Use when calling peaks from ChIP-seq alignments, choosing between narrow vs broad mode for a histone mark, deciding model vs nomodel for low-depth data, applying ENCODE pseudoreplicate IDR, or reconciling MACS vs HOMER vs SPP results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review public repository changes for secrets, private paths, signing identities, bundle IDs, generated artifacts, local logs, and private workflow leaks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
差分に追加された API キー・トークン・credential・秘密鍵・.env 値・個人ローカルパスなどの機密情報を、言語・ファイル種別に依存せず検出する。決定論的に判定できる範囲は CI（gitleaks 等）へ移譲しつつ、レビューで取りこぼしを補足する
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provider (v6.x) state management for Flutter using ChangeNotifier and InheritedWidget with MVVM architecture pattern. Use this skill when implementing Provider-based state management, using Consumer/Consumer2 widgets for targeted rebuilds, accessing state with context.read/context.watch/context.select, setting up ChangeNotifierProvider or StateNotifierProvider, configuring MultiProvider for multiple providers, implementing ProxyProvider for dependent state, using Selector for optimized rebuilds, migrating from StatefulWidget to reactive state, maintaining legacy Provider codebases, debugging provider not found errors, preventing memory leaks with proper ChangeNotifier disposal, fixing context access issues in initState, or resolving .value constructor anti-patterns. Essential for apps with shared state across widgets (shopping carts, authentication, global settings, form state, theme management), when teaching state management fundamentals, or when debugging memory leaks and resource cleanup in Provider-based applications.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert en infrastructure Azure (AKS, Functions, Cosmos DB, AD, DevOps, ARM templates)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.