Indexes directories and extracts machine-readable metadata and content from multimodal assets via mm-ctx CLI commands.
npx skills add https://github.com/vlm-run/skills --skill mm-cli-skill
Please help me install this Agent Skill. Skill: mm-cli-skill Source: https://github.com/vlm-run/skills/tree/main/skills/mm-cli-skill Command: npx skills add https://github.com/vlm-run/skills --skill mm-cli-skill
The mm CLI skill enables fast, deterministic exploration and extraction of content from multimodal directories, turning scattered files into searchable, structured insights.
Start by inspecting a directory with the mm find command to reveal its structure and contents.
High-intent search queries and answers about installing and using this skill.
To index and search multimodal directories, you use the mm CLI tool to scan images, videos, and PDFs, generating a structured, machine-readable index for rapid content discovery and metadata querying.
Yes, text extraction from images and PDFs is supported by the mm CLI, which applies deterministic directory indexing to parse file contents and expose structured metadata for downstream filtering.
Yes, performing directory analysis with the mm CLI requires the mm-ctx tool alongside standard CLI commands to execute fast indexing, searching, and content extraction across multimodal assets.
Generating LLM-assisted descriptions for media files is achieved by indexing the directory with the mm CLI, which leverages mm's capabilities to produce summaries and metadata for complex multimodal assets.
Filtering directory trees by file type and size is handled by the mm find command, which lists multimodal assets based on specified attributes to provide immediate structural context for content discovery.
A deterministic CLI for directory analysis is necessary when workflows demand rapid discovery and extraction across large volumes of images, videos, PDFs, and code, turning scattered files into searchable, structured insights.
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