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概要と使いどころ
Review code changes adversarially using parallel review layers (Blind Hunter, Edge Case Hunter, Acceptance Auditor) with structured triage into actionable categories. Use when the user says "run code review" or "review this code"
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。
Archive multiple completed changes at once. Use when archiving several parallel 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。
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review
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。
Restructure existing code while preserving observable behavior. Use for targeted technical debt or hotspot work with characterization tests.
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 Conventional Commits spec git commits (auto-separate by feature)
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。
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
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。
Plan AI fine-tuning projects with data preparation, training, and evaluation. TRIGGERS - Use when user needs help with ai-fine-tuning-plan related 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。
Guide AI model fine-tuning with data preparation. TRIGGERS - Use when user needs help with ai-fine-tuning-guide related 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。
Extract appraised value, property details, and comparable sales from a property appraisal report into structured JSON.
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。
Starts a CARLA UE 5.8 server from a ue58-dev tree — the editor binary in -game mode (the working headless server), the packaged shipping build, or the full editor — with offscreen/nullrhi rendering, custom RPC and streaming ports, and native ROS 2 via the single-dash -ros2 flag. Probes a running server, and stops one cleanly despite the 15-character process-name truncation. Use when the user asks to "run/start CARLA UE5", "launch a ue58 server", "run headless", "publish ROS 2 topics from UE5", or a client cannot reach the simulator.
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。
Imports FBX meshes into CARLA on UE 5.8 as spawnable props — drives the editor headlessly to import the mesh, derives the prop size from its measured bounds, and registers it in PropParameters.json so it appears in the blueprint library as static.prop.<name>. Handles the FBX unit-scale problem, verifies the result against a running server, and can revert cleanly. Use when the user asks to "import a prop", "add a custom mesh/object to CARLA", "make my model spawnable", or a prop imports but never shows up in the blueprint library.
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。
Reads and sets the weather on a running CARLA server via get_weather/set_weather, and turns natural-language weather requests ("heavy rain at sunset", "light fog at night", "clear noon", "dust storm") into exact WeatherParameters — cloudiness, precipitation, puddles, wind, fog, sun position, wetness, dust. Use when the user asks to "set/change the weather", "make it rainy/foggy/sunny/night", "apply a weather preset", or describes any sky/lighting condition.
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。
Writes a new ScenarioRunner scenario — a Python class deriving from BasicScenario with its behaviour tree assembled from srunner atomic behaviours and criteria, plus the XML config that gives it a town, ego spawn and parameters — and registers it so `--scenario MyScenario_1` works. Also covers adding a scenario to a route via --additionalScenario. Generates a working skeleton and validates it without a simulator. Use when the user asks to "create/write a new scenario", "add a custom scenario", "make my own traffic situation", or wants to extend the scenario library.
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。
Builds CARLA (branch ue4-dev, Unreal Engine 4.26) from source on Linux end-to-end — UE4 fork, the Carla server (editor C++ modules), the LibCarla Python client wheel, and content — then verifies them against a from-source server. Optionally builds the native ROS 2 interface in (ROS2=1 → --ros2, Fast-DDS/CycloneDDS/Zenoh), which is compile-time only and cannot be enabled later. Use when the user asks to "build CARLA from source", "compile CARLA ue4-dev", "set up CARLA on Ubuntu (incl. 24.04)", "build CARLA with ROS2 support", or "produce a CARLA server + client wheel". Cooking a distributable Dist/ package is a separate skill (package-carla-ue4); running the build is run-carla-server.
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。
Imports an FBX pedestrian into a CARLA source build as a spawnable walker.pedestrian.NNNN — checks the FBX is skinned to CARLA's GEN3 rig, imports the mesh, physics asset and materials, builds the walker blueprint from a GEN3 donor, registers it in WalkerFactory through CARLA's own add_walker_to_walker_factory.py, and verifies it spawns, stands on the ground and walks. Use when the user asks to "add a pedestrian to CARLA", "import a walker/character FBX", or needs a custom human spawnable from the Python 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。
Authoring and managing Agentforce agent definitions using the declarative Agent Script DSL (.agent files) and associated metadata types. Use when creating agents in source control, debugging agent metadata, or understanding the metadata lifecycle of GenAiPlugin/GenAiPlanner/BotVersion types. Triggers: 'how do I deploy an Agentforce agent using source control', 'what metadata types make up an Agentforce agent', 'agent test run command failing in CI pipeline', 'GenAiPlugin vs GenAiPlanner metadata relationship'. NOT for Apex-based agent actions (use custom-agent-actions-apex). NOT for UI-based agent creation (use agentforce-agent-creation).
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 conducting a scored agent-native architecture review. It launches 8 parallel sub-agents to audit action parity, context injection, CRUD completeness, capability discovery, and prompt-native 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。
Full adversarial quality loop — implement, self-attack, parallel verification, quality gates, final validation. 全品質循環：實現、自攻、並行驗證、質量關卡、最終確認. Use when: implement task with quality, run adversarial review, verify code quality, run quality gates, complete workflow task
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。
Avalia qualidade UX de um projeto comparando screenshots reais contra a Design Library (24 solucoes + design system). Captura telas via Playwright, pontua aderencia a tokens/patterns, identifica desvios. Produz UX Compliance Report.
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。
Analyze and optimize AGC (Automatic Gain Control) parameters for WaveCap-SDR channels. Use when audio is too quiet, too loud, has pumping artifacts, or when tuning AGC attack/release/target settings for FM/AM/SSB modes.
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。
Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.
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。
Generates complete video ad scripts for 15s, 30s, and 60s formats in Darija (Moroccan Arabic dialect) with shot-by-shot breakdowns, Islamic compliance guidelines, global trend alignment (authenticity, sustainability, UGC), and cultural adaptation for Facebook, Instagram, and TikTok. Includes 4 frameworks including a Moroccan-specific storytelling framework.
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。
Configure Adobe OAuth credentials and API access across development, staging, and production environments with separate Developer Console projects, secret managers, and environment-specific scoping. Trigger with phrases like "adobe environments", "adobe staging", "adobe dev prod", "adobe environment setup", "adobe config by env".
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 you need to design, review, or improve validation in Quarkus applications — including Bean Validation on JAX-RS resources, @Valid on parameters and CDI beans, constraint groups, @ConfigMapping validation, custom constraints, nested DTO validation, and ExceptionMapper-based error mapping. This should trigger for requests such as Add validation support in Quarkus; Review Quarkus validation rules; Improve request validation in Quarkus REST APIs; Add custom validation constraints in Quarkus; Validate Quarkus @ConfigMapping properties. Part of cursor-rules-java project
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。