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概要と使いどころ
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
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。
This skill should be used when the user asks to "perform vulnerability scanning", "scan networks for open ports", "assess web application security", "scan wireless networks", "detect malware", "check cloud security", or "evaluate system compliance". It provides comprehensive guidance on security scanning tools and methodologies.
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。
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
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。
This skill should be used when the user asks to "test for insecure direct object references," "find IDOR vulnerabilities," "exploit broken access control," "enumerate user IDs or object references," or "bypass authorization to access other users' data." It provides comprehensive guidance for detecting, exploiting, and remediating IDOR vulnerabilities in web applications.
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。
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202
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 image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.
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。
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding 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。
Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.
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。
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
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。
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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。
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
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。
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
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。
Set up the restore-context hook so skills can survive /clear and /compact. Detects .claude/ vs .agents/ layout automatically.
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。
bu skill covers integrating Static Application Security Testing (SAST) tools—CodeQL and Semgrep—into GitHub Actions CI/CD pipelines. It addresses configuring automated code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results to GitHub Advanced Security, and establishing quality gates that block merges when high-severity vulnerabilities are Detected.
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。
The NIST Cybersecurity Framework (CSF) 2.0, released in February 2024, provides a comprehensive taxonomy for managing cybersecurity risk through six core Functions - Govern, Identify, Protect, Detect, Respond, and Recover. bu skill covers conducting a maturity assessment against the CSF using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.
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。
Comprehensive LLM security testing: bias detection, data leakage, prompt injection, jailbreak, alignment testing, adversarial prompts
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。
Diffie-Hellman key exchange ve DLP saldırıları — Pohlig-Hellman, Pollard rho/lambda, BSGS, small subgroup confinement, weak parameter detection
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。
CTF challenge ana orkestratörü — kategori tespiti, modern saldırı patern tanıma, ilgili skill arama, cross-skill zincir koordinasyonu, hızlı referans erişim. Auto-solver ve hint-system routing.
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。
Set up automatic keepalive for Appwrite free-tier projects to prevent them from being paused after 7 days of inactivity. Use when working in a codebase that uses Appwrite, when the developer mentions Appwrite free tier, project pausing, or keeping an Appwrite project alive, or when you detect Appwrite configuration (node-appwrite dependency, APPWRITE_ env vars, Appwrite SDK imports).
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 3D models, textures, images, rig characters, and animate them using the Meshy AI API. Handles API key detection, setup, and all generation workflows via direct HTTP calls. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, or interact with the Meshy API.
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 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creation, polling, downloading, and full 3D print pipeline with slicer integration. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, 3D print a model, or interact with the Meshy API.
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。
Ad-campaign command desk (投放指挥台, Busabase App-in-Skill) for a cross-border e-commerce seller running Amazon Ads, Meta (FB/IG), TikTok Ads, and Google Ads. Use when the user invokes $kelly-ads or /kelly-ads, or asks about 投放, ad campaigns, ad spend, ACOS, ROAS, Amazon Ads, TikTok ads, Meta ads, Google Ads, search terms, negative keywords, bid adjustment, budget pacing, CPC spikes, rejected ads, ad anomaly detection, 广告优化, or reviewing agent-proposed adjustment cards (negative keyword, bid down/up, pause target, budget shift, creative refresh).
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。
Progressive WebGL fallback: production-level capability detection, static SVG fallback. Use when implementing, reviewing or testing progressive webgl fallback for React, Vite, Next.js or Perfect_AI projects.
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。
Discover and inventory shadow API endpoints that operate outside documented specifications using traffic analysis, code scanning, and API discovery platforms.
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。