5,724 件 ・ 関連度順
概要と使いどころ
Workflow for classifying AI Matrx server log lines in features/server-logs/log-rules.ts. Use when examining raw server logs, new [ModuleName] bracket tokens appear unclassified, log categories are wrong, or adding module recognition to the log viewer.
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。
RichDocument action toolkit for markdown and interactive content outside live chat. Use when adding an action or content source, wiring a remote action surface, putting actions on a MarkdownStream/BasicMarkdownContent preview, or touching features/rich-document/**, <RichDocument>, <RichDocumentActionSurface>, registerAction, ContentSourceAdapter, or enableContextMenu. NOT for the live chat message bar (use overlay-system).
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。
Scheduled patrol that finds real persistence and error bugs and fixes them. Use when running the system-error repair patrol automation, or when stuck rows, SLA breaches, the system_errors queue, or app_log ERROR rows need a repair rather than a 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。
Admin debug system wiring for the floating AdminIndicator's live debug data and Copy Full Context. Use when adding debug visibility to a route or feature, wiring useDebugContext or the debug panel, capturing console errors, or enabling the copy-context workflow for a page.
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。
Entry point and shared rules for structural changes to the live Matrx database. Use before any DDL: dropping, merging, or renaming a table, changing a function, RPC, trigger, or policy, hunting straggler tables, or starting a deprecated, schema move, or canonicalization (it routes to those 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。
AssociationEntitySelect, the name dropdown for the note, session, chat, or document a panel is bound to. Use when a surface must show that name and let the user rename, switch, unlink, or add new ('add a note switcher', 'show the session name'). NOT for count cards or row lists (use canonical-associations).
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 recipe for production-grade AI Matrx platform agents built through the AI Dream MCP. Use when asked to create, build, configure, improve, rename, or re-instruct a platform agent, or when a deliverable or kind needs an agent to emit it. NOT for Claude Code subagents or .claude/agents files.
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。
Find and identify the CCSGameRules__sm_mapGcBanInformation global variable in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the GC ban information map structure by decompiling CCSPlayerController_ResourceDataThink's sub-function (Linux) or searching for the "Notification about user penalty" string (Windows).
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 for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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 guide for developing WebGPU-enabled Three.js applications using TSL (Three.js Shading Language). Covers WebGPU renderer setup, node materials, compute shaders, post-processing, and WGSL integration. Use when working with Three.js WebGPU, TSL shaders, or GPU compute 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。
Create and manage teams of specialized AI agents that work together on tasks. Use when setting up multi-agent workflows, agent squads for content/marketing/research pipelines, configuring heartbeat-based agent coordination, or managing agent personalities via SOUL.md files. Enables orchestration of multiple OpenClaw sessions as a coordinated team with shared task systems (Linear, Trello, etc.).
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 for writing high-quality acceptance criteria and acceptance tests using industry-standard BDD (Behavior-Driven Development) and ATDD (Acceptance Test-Driven Development) practices. Use this skill when creating acceptance criteria for user stories, writing Gherkin scenarios, or implementing acceptance test specifications following Given-When-Then format.
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。
When the user needs to set up multiple academic courses in a learning management system (Canvas/LMS) from structured data sources. This skill automates the entire workflow extracting course schedules from emails/attachments, matching instructors from CSV files, creating courses, enrolling teachers, publishing announcements with class details, uploading syllabi, enabling resource sharing for instructors teaching multiple courses, and publishing all courses. Triggers include course schedule setup, Canvas/LMS administration, academic term preparation, instructor assignment, syllabus distribution, and multi-course management.
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。
When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, or academic paper research for table 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。
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts 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。
Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps. Invoke when user mentions abstraction levels, making concepts concrete, or explaining at different depths.
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 Tosca optimization. Use when user mentions design response, objective function, optimization constraint, or SIMP penalty. Base module for topology/shape optimization.
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。
Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.
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。
⚠️ DEPRECATED: This SDK has been renamed to Call Automation. For new projects, use azure-communication-callautomation instead. This skill is for maintaining legacy code only.
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。
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
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 comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
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。
Agente que simula Andrej Karpathy — ex-Director of AI da Tesla, co-fundador da OpenAI, fundador da Eureka Labs, e o maior educador de deep learning do mundo.
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。
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
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。