Patterns and techniques for evaluating and improving AI agent outputs.
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。
Debugs Windows apps via WinDbg MCP. Crash, hang, high-CPU, and memory triage from dumps or live attach.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Windows user-mode debugging using WinDbg MCP tools. Applicable to any Windows application -- native, managed (.NET/CLR), or mixed-mode. Guides investigation of crash dumps, application hangs, high CPU, and memory pressure through structured command packs and report templates.
Platform: Windows only.
Use these mcp-windbg operations:
mcp_mcp-windbg_open_windbg_remote -- attach to a live debug servermcp_mcp-windbg_open_windbg_dump -- open a saved dump filemcp_mcp-windbg_run_windbg_cmd -- execute debugger commandsmcp_mcp-windbg_close_windbg_remote -- detach from live sessionmcp_mcp-windbg_close_windbg_dump -- close dump sessionreference/access-mcp.mdreference/live-attach.mdreference/dump-workflow.mdreference/scenario-command-packs.mdreference/sanity-check.mdreference/symbols.mdreference/common-patterns.mdreference/capture-playbooks.mdreference/report-template.mdCross-references: [skill:dotnet-profiling] for .NET SDK diagnostic tools, [skill:dotnet-gc-memory] for managed GC and memory tuning.
Primary approach: Use Serena symbol operations for efficient code navigation:
serena_find_symbol instead of text searchserena_get_symbols_overview for file organizationserena_find_referencing_symbols for impact analysisserena_replace_symbol_body for clean modificationsWhen to use Serena vs traditional tools:
Example workflow:
# Instead of:
Read: src/Services/OrderService.cs
Grep: "public void ProcessOrder"
# Use:
serena_find_symbol: "OrderService/ProcessOrder"
serena_get_symbols_overview: "src/Services/OrderService.cs"
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Patterns and techniques for evaluating and improving AI agent outputs.
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 AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
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Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
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 wiki generation for code repositories with commands, agents, and skills
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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。
Implements accessible .NET UI. SemanticProperties, ARIA, AutomationPeer, testing per platform.
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。