delegation-core

Solid

Delegate tasks to external LLM services (Gemini, Qwen) with quota, logging,

AI & Automation 308 stars 27 forks Updated today MIT

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Skill Content

## Table of Contents - [Overview](#overview) - [When to Use](#when-to-use) - [Philosophy](#philosophy) - [Delegation Flow](#delegation-flow) - [Quick Decision Matrix](#quick-decision-matrix) - [Detailed Workflow Steps](#detailed-workflow-steps) - [1. Task Assessment (`delegation-core:task-assessed`)](#1-task-assessment-delegation-coretask-assessed) - [2. Suitability Evaluation (`delegation-core:delegation-suitability`)](#2-suitability-evaluation-delegation-coredelegation-suitability) - [3. Handoff Planning (`delegation-core:handoff-planned`)](#3-handoff-planning-delegation-corehandoff-planned) - [4. Execution & Integration (`delegation-core:results-integrated`)](#4-execution-integration-delegation-coreresults-integrated) - [Leyline Infrastructure](#leyline-infrastructure) - [Service-Specific Skills](#service-specific-skills) - [Module Reference](#module-reference) - [Exit Criteria](#exit-criteria) # Delegation Core Framework ## Overview A method for deciding when and how to delegate tasks to external LLM services. Core principle: **delegate execution, retain high-level reasoning**. ## When To Use - Before invoking external LLMs for task assistance. - When operations are token-heavy and exceed local context limits. - When batch processing benefits from different model characteristics. - When tasks require routing between models. ## When NOT To Use - Task requires reasoning by Claude ## Philosophy **Delegate execution, retain reasoning.** Claude handles architecture, ...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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