Read and summarize local text files with line-range extraction.
npx skills add https://github.com/matevip/mateclaw --skill file-reader-matevip
Please help me install this Agent Skill. Skill: file_reader Source: https://github.com/matevip/mateclaw/tree/main/mateclaw-server/src/main/resources/skills/file_reader Command: npx skills add https://github.com/matevip/mateclaw --skill file-reader-matevip
This Skill reduces manual effort by reading and summarizing local text-based files (such as TXT, MD, JSON, YAML, CSV, LOG, and code) into concise summaries and highlights.
Read /path/to/file.txt and summarize its contents.
High-intent search queries and answers about installing and using this skill.
To read and summarize local text files, you can use a processing tool that applies format-aware summarization to TXT, MD, JSON, YAML, CSV, and LOG files, returning concise overviews and highlights for quick review.
Yes, you can extract a specific line range from large datasets. This approach allows you to focus on relevant sections of large files without loading the entire document into memory.
Format-aware summarization works with JSON and YAML code files by reading the structured content and returning concise short summaries suitable for reporting or quick review.
The best way to summarize large log files is to use read-only processing with line-range extraction, which isolates relevant sections and generates structured short summaries for quick analysis.
When processing very large local text files, the main limitation is reading the entire file at once; using line-range extraction is recommended to avoid memory issues and focus on relevant sections.
WWindRockExtract and summarize text content from supported file formats.
lycfyiSummarize Discord chat messages from synced servers into concise overviews.
HarriesDelegate coding tasks to Claude Code CLI for file edits and git workflows.
walter-laExtract structured data from unstructured text using a shared JSON schema.
