# Jekyll Blog

> Use this tool when you need to efficiently search and organize Jekyll blog content, or analyze posts for duplicates and consistency. It indexes Markdown and AsciiDoc files by parsing YAML front matter, enabling keyword-based search, content retrieval, and category/tag management. Ideal for bloggers and content creators seeking to streamline their writing workflows and improve blog organization.

Canonical page: https://skillsregistry.net/skills/jottinger-jekyll-blog  
JSON: https://api.skillsregistry.net/v1/skills/jottinger-jekyll-blog

## Description

Indexes and searches Jekyll blog content by parsing YAML front matter from Markdown and AsciiDoc files. Provides tools for keyword-based search across posts, retrieving full content by slug, listing categories and tags with counts, and comparing draft content against published posts to detect potential duplicates. Enables content analysis, blog organization, and AI-assisted writing workflows for Jekyll-based blogs.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jottinger-jekyll-blog)
- **Repository:** <https://github.com/jottinger/jekyll-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jottinger-jekyll-blog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jottinger-jekyll-blog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jottinger-jekyll-blog/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt