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milan-jovanovic-blog米兰·约万诺维奇博客

Agent Skill

milan-jovanovic-blog 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

238

周安装

10

GitHub Stars

61

下载量

83
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:milan-jovanovic-blog(米兰·约万诺维奇博客)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/milan-jovanovic-blog
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill milan-jovanovic-blog
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill milan-jovanovic-blog

简介

milan-jovanovic-blog 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Milan Jovanovic Blog Skill

Overview

This skill provides access to Milan Jovanovic's curated.NET blog content, filtered to November 2025+ (aligned with.NET 10 GA). It helps developers discover and apply proven patterns for Clean Architecture, Domain-Driven Design, CQRS, Entity Framework Core, and ASP.NET Core.

Content scope: Articles published November 2025 and later, with promotional content stripped.

When to Use This Skill

Use this skill when:

  • Working with.NET projects that could benefit from architectural patterns
  • Implementing Clean Architecture, DDD, CQRS, or Vertical Slice patterns
  • Configuring Entity Framework Core or ASP.NET Core
  • Looking for proven.NET code patterns and examples
  • Researching.NET 10/Aspire features

Quick Start

Search by Keywords

python scripts/core/find_articles.py search clean architecture cqrs

Filter by Tag

python scripts/core/find_articles.py tag ef-core

Resolve doc_id to Path

python scripts/core/find_articles.py resolve milanjovanovic-tech-blog-{slug}

Natural Language Query

python scripts/core/find_articles.py query "how to implement CQRS"

List Recent Articles

python scripts/core/find_articles.py list --sort date --limit 10

Tag Taxonomy

TagDescription
clean-architectureClean/Onion/Hexagonal Architecture patterns
dddDomain-Driven Design (aggregates, value objects, domain events)
cqrsCommand Query Responsibility Segregation
mediatrMediatR library usage patterns
ef-coreEntity Framework Core optimization and patterns
aspnet-coreASP.NET Core patterns and Minimal APIs
modular-monolithModular Monolith architecture
vertical-sliceVertical Slice Architecture
dotnet-10.NET 10 features and patterns
aspire.NET Aspire patterns
result-patternResult pattern for error handling
outbox-patternTransactional outbox pattern
specification-patternSpecification pattern
repository-patternRepository pattern
validationFluentValidation patterns
testingUnit/integration testing patterns

Path Resolution

Windows PowerShell users: Avoid cd && python chains - use absolute paths or run from repo root to prevent path doubling issues.

Script location: All scripts are in scripts/ relative to skill root.

Canonical content: Scraped articles are stored in canonical/milanjovanovic-tech/blog/.

Index Management

Check Index Stats

python scripts/management/manage_index.py stats

Verify Index Integrity

python scripts/management/manage_index.py verify

Refresh Index (After Scraping)

python scripts/management/refresh_index.py

Scraping (Use /scrape-posts Command)

For scraping operations, use the /milan-jovanovic:scrape-posts command which handles:

  • Pre-filtering optimization - Parses dates from listing page before scraping individual articles
  • Date filtering (November 2025+)
  • Content cleanup (removes promotional sections)
  • Idempotent updates (skip unchanged articles via content hash comparison)

Efficiency Optimizations

The scraping workflow uses pre-filtering to minimize firecrawl API calls:

ScenarioWithout OptimizationWith OptimizationSavings
No new articles10+ requests1-2 requests80-90%
1 new article10+ requests2-3 requests70-80%
Force (unchanged)10+ requests10+ requests (skips writes)I/O savings

How it works:

  1. Scrape listing page only (1-2 requests)
  2. Parse dates from listing markdown (no network)
  3. Compare against index to identify new articles
  4. Scrape ONLY articles not already indexed

Check for New Articles (Pre-Filter)

Before scraping, check what needs updating:

# Check for new articles since November 2025
python scripts/core/check_new_articles.py .claude/temp/listing.md --json --since 2025-11-01

# Force mode - include existing articles for re-check
python scripts/core/check_new_articles.py .claude/temp/listing.md --json --force

# URLs only output
python scripts/core/check_new_articles.py .claude/temp/listing.md --urls-only

Output includes to_scrape list with in_index and content_hash for smart handling.

Python API

For programmatic access, use the public API:

from milan_jovanovic_api import (
    search_articles,
    get_by_tag,
    resolve_doc_id,
    get_article_content,
)

# Search by keywords
results = search_articles(['clean-architecture', 'cqrs'])

# Get articles by tag
ef_articles = get_by_tag('ef-core')

# Resolve doc_id to path
path = resolve_doc_id('milanjovanovic-tech-blog-some-slug')

# Get article content
content = get_article_content('milanjovanovic-tech-blog-some-slug')

Content Cleanup

Scraped articles have promotional content removed:

  • Sponsor sections (between title and first H2)
  • Promotional footer ("Whenever you're ready, there are X ways...")
  • Newsletter signup sections
  • Course CTAs
  • Reading time metadata

All educational content, code blocks, and internal links are preserved.

Related Components

  • Command: /milan-jovanovic:scrape-posts - Scrape new articles
  • Agent: blog-advisor - Proactive project analysis and recommendations

Troubleshooting

No Results Found

  1. Check if index exists: python scripts/management/manage_index.py count
  2. If count is 0, run scrape: /milan-jovanovic:scrape-posts
  3. Verify tags with: python scripts/core/find_articles.py tag --list

Path Issues on Windows

Use PowerShell or prefix Git Bash with MSYS_NO_PATHCONV=1:

MSYS_NO_PATHCONV=1 python scripts/core/find_articles.py search cqrs

Version History

  • v1.1.0 (2025-12-27): Pre-filtering optimization - 80-90% reduction in firecrawl API calls
  • v1.0.0 (2025-12-22): Initial release - November 2025+ articles, full tag taxonomy

Last Updated: 2025-12-27

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.21%
按下载量换算31

Claude

28.91%
按下载量换算24

Cursor

18.51%
按下载量换算15

Gemini CLI

9.67%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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