Can I search for specific patterns like error codes?

Yes, the skill includes a 'grep' command that supports regular expressions, making it easy to find specific error strings, version numbers, or code patterns.

How does this skill help save tokens?

Instead of reading full documentation files, CCMDS allows the AI to perform targeted searches or extract only specific sections, ensuring only the most relevant context is added to the conversation.

Can I customize the search behavior for my project?

Absolutely. You can use the 'ccmds init' command to create a config file that defines your project's specific documentation paths and default search settings.

Does it work with nested documentation folders?

Yes, it is designed to search through directories like /docs, /documentation, and root-level README files recursively.

Markdown Documentation Search

Name: Markdown Documentation Search
Author: bjeber

bybjeber

•

学习与文档

Searches and extracts precise information from markdown documentation using fuzzy search, regex, and section targeting.

Markdown Documentation Search (CCMDS) empowers AI assistants to navigate complex documentation sets with high precision and minimal token overhead. By providing specialized commands for fuzzy searching, regex pattern matching, and specific heading extraction, it allows Claude to find setup guides, API references, and configuration details without reading entire files. This skill is essential for projects with extensive documentation where finding the right context quickly is critical for accurate code generation and troubleshooting.

主要功能

01Fuzzy search for conceptual queries and documentation discovery

02AI-optimized JSON output for seamless assistant integration

03Documentation structure outlining to understand file hierarchies

04Regex-based grep for finding specific error codes or patterns

051 GitHub stars

06Targeted section extraction to retrieve specific headings and content

使用场景

01Extracting specific configuration sections to provide context for debugging

02Answering complex setup and installation questions without manual file browsing

03Locating specific API reference details across multiple documentation directories

主要功能

01Fuzzy search for conceptual queries and documentation discovery

02AI-optimized JSON output for seamless assistant integration

03Documentation structure outlining to understand file hierarchies

04Regex-based grep for finding specific error codes or patterns

051 GitHub stars

06Targeted section extraction to retrieve specific headings and content

使用场景

01Extracting specific configuration sections to provide context for debugging

02Answering complex setup and installation questions without manual file browsing

03Locating specific API reference details across multiple documentation directories