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概要と使いどころ
Create, read, edit, and open draw.io (.drawio) files. Supports architecture diagrams, ER diagrams, flowcharts, domain model diagrams, and more. Use when requests include "create a diagram", "make a flowchart", "draw an architecture diagram", "create an ER diagram", "open a .drawio file", "what's in this diagram?", etc. Do NOT use for Mermaid or PlantUML generation.
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。
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output. Use when a task requires complete code or exhaustive unabridged output without placeholders.
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 whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.".
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。
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts. Use when creating brand-kit image prompts, identity boards, logo systems, or visual-world presentations.
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。
"Design conversational AI chatbots including intent recognition, slot filling, dialogue flow, and response generation. Use this skill when the user needs to build a chatbot, design conversation flows, implement intent classification, or improve chatbot accuracy — even if they say 'build a chatbot', 'our bot doesn't understand users', 'design a FAQ bot', or 'improve our chatbot's responses'.".
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。
Orchestrates the full law interpretation pipeline: MvT research, machine_readable generation with validation/BDD testing, and reverse validation. Invokes /law-mvt-research, /law-generate, and /law-reverse-validate sequentially. Use this skill proactively when: user wants to make a law executable, add machine_readable sections, or mentions "interpret" in the context of a Dutch law YAML file. Activate automatically when user opens a corpus YAML file without machine_readable sections and wants to make it executable.
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 planning a source-grounded method overview, architecture, pipeline, system/data-flow, mechanism, or agent-workflow figure for a CS or deep-learning paper. Produces an editable figure brief before image generation or manual redrawing; not for plots, tables, or general prose.
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。
Reverse shell techniques playbook. Use when establishing remote shells including language one-liners, encrypted shells (OpenSSL/socat/ncat), web shells, PTY upgrades, file transfer methods, PowerShell shells, and Windows payload generation.
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。
Test Retrieval-Augmented Generation (RAG) systems for data poisoning, prompt injection via retrieved documents, and data exfiltration through manipulated context windows. Use this skill when assessing RAG-based chatbots, knowledge bases, enterprise AI assistants, or any system that augments LLM responses with external document retrieval. Covers document injection, embedding manipulation, knowledge base poisoning, and cross-document inference attacks.
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。
Authentication and credential security assessment. Tests password brute-force, credential stuffing, password spraying, default credential testing, credential harvesting, lockout analysis, MFA bypass, OAuth/OIDC abuse, session token entropy, Kerberos attacks, and intelligent wordlist generation. Uses hydra, john, ncrack, medusa, cewl, crunch, netexec, impacket, kerbrute, and nuclei default-login templates. Covers OWASP A07:2021 Identification and Authentication Failures.
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。
Analyzes CVE vulnerabilities in project dependencies with code path tracing and PoC generation for Burp Suite. Traces vulnerable code from user input to sink, assesses exploitability, and generates HTTP requests for 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。
Customize a new project created from this Flutter template, including app identity, package name, platform cleanup, icons, splash screen, Firebase/secrets decisions, setup tool execution, code generation, and validation.
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。
Create a new Flutter screen in this repository using the existing feature structure, AutoRoute setup, Riverpod state pattern, and code generation workflow. Use when adding a new page, route, stateful screen, or feature folder in this template.
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。
Run post-merge release build steps for this repository, including Android tag-driven releases and sequential iOS IPA generation with archival for Transporter upload and Crashlytics deobfuscation. Use after the release PR has been merged.
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。
Upgrade Flutter and package dependencies in this repository while keeping .fvmrc, pubspec.yaml, code generation, CI, and tests aligned. Use when bumping Flutter, Dart constraints, direct dependencies, or generator toolchains.
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 for AI image, video, audio, or 3D generation/editing. Prefer configured media tools when present, estimate cost before running a paid model, and keep provider credentials in the user's environment or provider configuration.
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 consolidated, world-class Cloudflare + integrations reference — CF platform/data/AI-edge patterns, media pipeline, observability/growth, payments, and the site-generation pipeline. The non-inferable choices that build the greatest web apps.
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。
Versioning and changelog management with @changesets/cli — adding changesets, version bumping, changelog generation, monorepo publishing, pre-release modes, and CI automation
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。
Client-side image handling - preview generation, Canvas API resizing, compression, EXIF orientation, format conversion, memory management with object URL cleanup
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。
Type-safe i18n for the App Router — locale routing, message rendering, formatting and static generation. Load when a project imports next-intl.
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。
OpenAPI 3.1 specification, schema design, code generation
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。
Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG
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。
Together AI SDK patterns for TypeScript — client setup, chat completions, streaming, structured output, function calling, embeddings, image generation, fine-tuning, and OpenAI-compatible endpoints
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。
Official TypeScript SDK for Google Gemini — client setup, text generation, multimodal input, function calling, structured output, streaming, embeddings, context caching, and chat sessions
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。