Process text tasks locally with self-hosted DeepSeek-R1 via HTTP.
npx skills add https://github.com/dayuer/survival --skill llm-processor
Please help me install this Agent Skill. Skill: llm-processor Source: https://github.com/dayuer/survival/tree/main/nanobot/workspace/skills/llm-processor Command: npx skills add https://github.com/dayuer/survival --skill llm-processor
This Skill processes text tasks using self-hosted DeepSeek-R1 to translate, summarize, rewrite, and analyze content without consuming external API quotas.
Translate a long English article by invoking the translate command on its file and save the Chinese output.
High-intent search queries and answers about installing and using this skill.
You can translate text using a self-hosted DeepSeek-R1 instance to process inputs over a local HTTP API. This approach returns deterministic translated results without consuming external API quotas.
Yes, you can summarize content offline into bullet, paragraph, or one-line summary formats. The local processing applies explicit prompts and style controls to generate the desired summary output.
Yes, you need a self-hosted DeepSeek-R1 environment running locally to apply custom prompts to your text. The Skill uses this local API over HTTP to accept text or file inputs and return processed results.
The best way is using a local LLM processor that accepts file inputs over HTTP to translate or summarize content. This offline approach ensures deterministic results with explicit prompts and style controls.
Yes, the tool uses the httpx library to handle local API requests over HTTP. This allows it to accept text or file inputs and return deterministic translation, summarization, or rewriting results.
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