「issue」の検索結果

Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP servers use pinned versions (not @latest) - Detecting unpinned dependencies in MCP server configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]

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 workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for 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。

Guidelines for fixing unhandled errors from the VS Code error telemetry dashboard. Use when investigating error-telemetry issues with stack traces, error messages, and hit/user counts. Covers tracing data flow through call stacks, identifying producers of invalid data vs. consumers that crash, enriching error messages for telemetry diagnosis, and avoiding common anti-patterns like silently swallowing errors.

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。

Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.

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 using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.

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 have lint errors, formatting issues, or before committing code to ensure it passes CI.

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。

GitHub CLI (gh) comprehensive reference for repositories, issues, pull requests, Actions, projects, releases, gists, codespaces, organizations, extensions, and all GitHub operations from the command line.

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。

Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.

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。

Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.

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。

Provides expert guidance on Development Containers (devcontainers) — creating, configuring, and optimising containerised development environments using the Dev Container Specification. This skill should be used when users ask about devcontainer.json, .devcontainer setup, Dev Container Features or Templates, pre-building images, multi-container workflows, Docker-in-Docker, cloud development environments (Codespaces, DevPod), or troubleshooting container performance and permission issues.

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。

Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.

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。

Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.

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 Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

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。

Triage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.

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。

Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.

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。

INVOKE THIS SKILL when downloading or exporting Arize traces and spans. Covers exporting traces by ID, sessions by ID, and debugging LLM application issues using the ax CLI.

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 Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.

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。

Agents workbench layout — covers the fixed layout structure, grid configuration, part visibility, editor modal, titlebar, sidebar footer, and implementation requirements. Use when implementing features or fixing issues in the Agents workbench layout.

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。

Automatically issue/renew HTTPS certificates using Alibaba Cloud ESA DNS + acme.sh (including wildcard *.example.com + example.com), with optional installation to Nginx. Trigger this skill when the user mentions ESA, ATrustDNS, _acme-challenge, acme.sh, Let's Encrypt, No TXT record found, InvalidRecordNameSuffix, wildcard certificate, or Nginx certificate 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。

Scan websites for common vulnerabilities including SQL injection, open ports, and DevTools-related issues. This skill is designed for testing user-owned websites and is compatible with OpenClaw.

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。

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

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。

Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues 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。

Simplify cluttered UI by removing unnecessary elements, choices, features, and structural complexity. Use when the problem is too many controls, options, features, or competing elements—not when the structure is sound and the real issue is only visual intensity or lack of personality.

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。

Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management, making interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.

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。