4,804 件 ・ 関連度順
概要と使いどころ
Hunt vulnerabilities in LLM-powered applications — direct/indirect prompt injection, system prompt extraction, ASCII smuggling, RCE via code tools, agentic AI exploits (ASI01-ASI10), data exfiltration via response channels, IDOR in chat history, jailbreak chains, RAG poisoning. Use when target has a chatbot, AI assistant, copilot, or agentic AI features.
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。
Hunt cloud misconfigurations exposed externally — open S3/GCS buckets, exposed IAM-tied EC2 metadata, Cognito misconfig, GitHub Actions secret leakage, exposed Kubernetes API, public Elastic / Kibana / Mongo, Firebase RTDB rules, weak AWS access keys discovered in JS/mobile. Use when leveraging leaked credentials or hunting cloud surface in scope.
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。
Interact with your Public.com brokerage account using the Public.com API. Able to view portfolio, get stock quotes, place trades, and get account updates. To create a Public.com account head to public.com/signup.
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。
Maintain skills wiki health - check links, naming, cross-references, and coverage
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 UI interactions whose motion comes from a physical model instead of durations and easing curves. Turn a feel described in words ("a toggle that feels heavy", "a drawer with a magnetic snap", "a card you throw into a corner", "a knob with heavy detents", "a sticky slider") into a production component driven by mass, stiffness, damping and force fields (magnets, friction, walls), on a line, in a plane or around a dial, plus a test rig that plots position, velocity and the force field, overlays the model's prediction on the measured motion, and exports the same spring to Framer Motion, react-spring, SwiftUI, Compose or CSS linear(). Use this whenever someone asks for an animation, transition, spring, gesture, drag, flick, snap points, bottom sheet, toggle, slider, carousel or any micro-interaction that should "feel" a certain way, or wants to tune or explain a spring, even if they never say "physics".
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。
Add or refine depth through elevation systems, raised and inset surfaces, layered overlap, and meaningful shadow behavior so interfaces feel structured instead of flat. Use when the user mentions depth, elevation, shadows, layering, flat cards, pressed states, drag feedback, or inset controls.
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 or improve a UI testing strategy covering visual regression, interaction testing, and accessibility assertions. Use when the user asks to add tests, set up testing, fix flaky tests, improve test coverage, validate UI behavior, catch visual bugs, or establish confidence in shipping frontend changes.
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。
Canon TDD for humans and AI agents. Use for production code changes by writing tests first, proving RED, implementing minimal GREEN, and refactoring safely. 2026 edition adds TDP, flakiness gate, ralph-loop integration, memory-search in Step 0, PBT as Step 5.5, mutation testing gate in Step 4, and CJS LSP warning.
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。
Svelte and SvelteKit expert including components, stores, and 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。
CSS and styling expert including Tailwind, CSS-in-JS, and responsive design
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。
Ripgrep-powered dead-code crawler that finds stale, broken, or orphaned JavaScript/CJS/MJS modules in the Agent Studio framework. Walks a target directory, checks each file for external references, and surfaces (or deletes) unreferenced files. Prevents registry bloat and silent tool dropouts from modules no one calls.
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。
Self-critique specification documents using extended thinking — surfaces hidden assumptions, contradictions, missing edge cases, and scope creep before implementation
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。
SolidJS expert including reactivity, components, and store 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。
State management expert including MobX, Redux, Zustand, and reactive 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。
AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis. Implements Cursor Debug Mode methodology — structured hypothesis ranking, targeted code instrumentation, human-in-the-loop reproduction gate, log-confirmed root cause, and mandatory 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。
Research-backed skill refresh workflow for updating existing skills with TDD checkpoints, memory-aware integration, and EVOLVE/reflection trigger handling.
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, validate, and convert skills for the agent ecosystem. Enforces standardized structure for consistency. Enables self-evolution by creating new skills on demand, converting MCP servers and codebases to skills.
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。
Check if voice message handling is configured — verify Whisper, ElevenLabs/OpenAI TTS keys, and required tools.
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。
Rules specific to Svelte UI component development in Tauri 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。
Agent task delegation patterns — spawn protocols, handoff metadata, drain gate, parallel limits, and model selection for multi-agent 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。
Creates and registers templates for agents, skills, workflows, hooks, and code patterns. Handles post-creation catalog updates, consuming skill integration, and README registration. Use when creating new template types or standardizing 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。
Structured workflow for summarizing code changes after completing tasks. Creates clear, actionable summaries of what was changed, why, and what to verify.
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。
Execute plans via autonomous agents with two-stage review per task. Use for complex implementations requiring quality gates.
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。
Check Telegram bot configuration and guide setup if anything is 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。