delegate-to-ollama

Name: delegate-to-ollama
Availability: InStock
Author: ismaelmartinez

Route bulk text tasks to local Ollama models for summaries, classifications, and redactions.

2|1|Updated Apr 28, 2026

Search Tags:#automation #summarization #delegation #classification #privacy #local models

Ready to run

npx skills add https://github.com/IsmaelMartinez/delegate-to-ollama --skill delegate-to-ollama

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: delegate-to-ollama
Source: https://github.com/IsmaelMartinez/delegate-to-ollama/tree/main
Command: npx skills add https://github.com/IsmaelMartinez/delegate-to-ollama --skill delegate-to-ollama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to delegate summarization, classification, and bulk text tasks to locally-installed Ollama models, thus preserving privacy and reducing reliance on external APIs.

Core Features & Use Cases

Context Delegation: Sends log summaries, PR descriptions, and classification tasks to a local large language model.
Secure Processing: Keeps user data on-device, avoiding data exfiltration risks.
Use Case: A developer reviews a long CI build log and needs a quick summary, which the skill generates by querying a local model.

Quick Start

To generate a summary of your latest code changes, pipe your diff into the skill and request a brief log summary.

Frequently Asked Questions about delegate-to-ollama

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I summarize CI build logs locally without sending data to external APIs?▼

You can summarize CI build logs locally by routing text tasks to local Ollama models, which keeps data on-device and avoids external API reliance. This skill automates that bulk text processing for high-volume tasks.

What is local model delegation for bulk text classification?▼

Local model delegation for bulk text classification routes categorization tasks to locally-installed Ollama models. This ensures sensitive content remains on the device while automating high-volume operations securely.

Can I use this skill for privacy-sensitive content moderation workflows?▼

Yes, you can use this skill for privacy-sensitive content moderation. It executes bulk text operations like classifications and redactions by routing tasks to local models, keeping moderation data securely on-device.

Do I need an external API key to automate text redactions with local models?▼

No, you do not need an external API key to automate text redactions with local models. This skill offloads redaction tasks to a locally-installed Ollama model, eliminating external dependencies and preserving data privacy.

What's the best way to generate PR descriptions from code diffs on my device?▼

The best way to generate PR descriptions from code diffs on your device is to pipe the diff into this skill. It queries your local Ollama model to automatically generate a brief summary while keeping code changes private.

Are there limitations when processing high-volume text automation with local models?▼

A limitation of processing high-volume text automation with local models is that performance depends entirely on local hardware resources. This approach ensures privacy but requires sufficient local compute to handle bulk summarization and classification tasks.