agentic-eval
FreePatterns and techniques for evaluating and improving AI agent outputs.
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Debugs Windows apps via WinDbg MCP. Crash, hang, high-CPU, and memory triage from dumps or live attach.
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See how to installReview the instructions the agent will receive before you install.
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"
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Patterns and techniques for evaluating and improving AI agent outputs.
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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
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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
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Implements accessible .NET UI. SemanticProperties, ARIA, AutomationPeer, testing per platform.
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