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。
Skill manifest management for dotnet-agent-harness. Tracks skill dependencies, conflicts, version compatibility, and provides validation and resolution tools. Triggers on: skill manifest, dependency resolution, skill compatibility, version conflicts, build manifest, validate dependencies.
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。
Skill manifest management for dotnet-agent-harness toolkit. Tracks dependencies between skills, version compatibility, and conflicts.
Load this skill when:
Each skill declares dependencies and conflicts in frontmatter:
depends_on:
- dotnet-version-detection
- dotnet-project-analysis
conflicts_with:
- legacy-ef-core-patterns
version: '2.1.0'
depends_on): Must be loaded before this skilloptional): Loaded if available, skipped if missingconflicts_with): Cannot be used with these skills^1.0.0, ~1.2.0, >=1.0.0 <2.0.0dotnet agent-harness validate before relying on new metadata changes..dotnet-agent-harness/exports/mcp/manifest.json and .dotnet-agent-harness/exports/mcp-report.json when you need the checked-in MCP bundle view./dotnet-agent-harness:profile <catalog-item-id> [--format text|json]
Shows item metadata, tags, references, and approximate size.
/dotnet-agent-harness:graph --item <catalog-item-id> --format mermaid
Generates a dependency visualization from catalog references.
dotnet agent-harness validate
Runs repo validation checks before or after manifest-related changes.
There are two different manifest shapes in this repository:
.dotnet-agent-harness/metadata/skill-manifest.schema.json is the primary schema for authored toolkit metadata..dotnet-agent-harness/exports/mcp/manifest.json is the compact MCP export bundle manifest. It does not use the
old per-skill object map shape..dotnet-agent-harness/exports/mcp-report.json is the richer export report with per-item prompt/resource listings and
resolved references.Current MCP bundle manifest example:
{
"generatedAtUtc": "2026-03-06T11:51:41.7827192+00:00",
"sourceOfTruth": "../../.rulesync",
"repoRoot": "../..",
"platform": "geminicli",
"kind": "all",
"promptCount": 47,
"resourceCount": 240,
"promptIndexPath": "./prompts/index.json",
"resourceIndexPath": "./resources/index.json"
}
# Inspect one catalog item
dotnet agent-harness profile dotnet-efcore-patterns --format json
# Output:
# tags, references, source path, and token estimate
# Graph the reachable references
dotnet agent-harness graph --item dotnet-advisor --depth 2 --format mermaid
# Output:
# Mermaid graph of related catalog items
# Validate the current repository state
dotnet agent-harness validate
# Confirms repo metadata and authored content are internally consistent
The [skill:dotnet-advisor] uses the manifest to:
.dotnet-agent-harness/metadata/skill-manifest.schema.json -- manifest JSON schema.dotnet-agent-harness/exports/mcp/manifest.json -- checked-in MCP export manifest.dotnet-agent-harness/exports/mcp-report.json -- checked-in MCP export reportPrimary 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.
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 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
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 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。