Patterns and techniques for evaluating and improving AI agent outputs.
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Offline mode with local caching for air-gapped environments
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Enable offline operation with local skill and MCP caching.
# Set offline mode
export DOTNET_HARNESS_OFFLINE=true
# Or use flag
rulesync generate --offline
```text
## Cache Structure
```text
.dotnet-agent-harness/
├── cache/
│ ├── skills/ # Cached skill content
│ ├── mcp-responses/ # Cached MCP responses
│ └── registry/ # Cached registry data
└── index.json # Search index
Online Sync (when connected):
dotnet-agent-harness:sync-cache
Offline Operation:
{
"offline": {
"enabled": false,
"cachePath": ".dotnet-agent-harness/cache",
"maxCacheAge": "7d",
"fallbackEnabled": true
}
}
dotnet-agent-harness:sync-cache - Sync cache from remotedotnet-agent-harness:clear-cache - Clear local cachedotnet-agent-harness:cache-status - Show cache statisticsWhen offline:
Cache Miss: Run dotnet-agent-harness:sync-cache Stale Data: Clear and re-sync Large Cache: Exclude heavy
MCP servers
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.
中文简介正在准备中。当前显示原文说明。
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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