Summarize streamed text from logs, code, or git history via OpenRouter.
npx skills add https://github.com/Aayush9029/homebrew-tap --skill sip
Please help me install this Agent Skill. Skill: sip Source: https://github.com/Aayush9029/homebrew-tap/tree/main/skills/sip Command: npx skills add https://github.com/Aayush9029/homebrew-tap --skill sip
Summarize arbitrary streamed text using large language models to produce concise, human-friendly summaries.
Run sip with your input piped to it to obtain a concise summary.
High-intent search queries and answers about installing and using this skill.
To summarize piped text from the command line, you can stream stdin directly into a summarization tool. This Skill processes arbitrary streamed text using large language models to produce concise, human-friendly summaries of logs or code.
Yes, you can control the detail level when summarizing streamed logs. The Skill supports command-line options for prompting, output level, and style, allowing fine-grained control over the generated text summaries.
Yes, you need an OpenRouter API key to summarize stdin with AI. The Skill requires an OpenRouter-based backend or a configured API key to access the large language models used for text summarization.
The best way to summarize git history from the terminal is piping the output directly into this tool. It accepts arbitrary streamed text from stdin and uses LLMs to quickly derive concise insights from git logs.
Yes, you can select different language models for text summarization in the CLI. The Skill supports model selection through command-line options, enabling you to choose specific OpenRouter-based models for your summarization tasks.
Yes, this approach works for summarizing real-time code output and arbitrary text. It is designed to process any piped text from stdin, making it suitable for deriving quick insights from logs, code, and streamed data.
lrhodinPipe arbitrary text through an LLM to generate concise responses.
Rycen7822Fetches AI-generated arXiv paper overviews from alphaxiv.org via URLs or IDs.
okarisIndex and traverse JSON and JSONL data for querying and summarization.
marktantongcoAutomate LLM inference via NVIDIA NIM API for text generation and summarization.
