skills.rest
rajivpant
rajivpantCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

synthesis-llm-setup

Compile platform-specific instructions and concatenated knowledge files for LLM projects.

15|2|Updated Mar 17, 2026
Search Tags:#llm#claude#setup#gemini#chatgpt#ai-knowledge#ragbot
One-click install
npx skills add https://github.com/rajivpant/synthesis-skills --skill synthesis-llm-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synthesis-llm-setup
Source: https://github.com/rajivpant/synthesis-skills/tree/main/synthesis-llm-setup
Command: npx skills add https://github.com/rajivpant/synthesis-skills --skill synthesis-llm-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many LLM platforms require different formats and delivery methods for instructions and knowledge, making multi-platform deployment time-consuming and error-prone. This guide consolidates a repeatable workflow for compiling, packaging, and delivering AI knowledge and custom instructions so projects work consistently across Claude, ChatGPT, Gemini, and similar systems.

Core Features & Use Cases

  • Platform-specific instruction compilation: Assemble and produce tailored instruction files for Claude, ChatGPT, Gemini and other LLM targets.
  • Knowledge concatenation and delivery: Build a single concatenated knowledge file and describe options for Git sync or manual uploads to each platform.
  • Operational workflows and privacy model: Explain compilation commands, CI/CD handling of knowledge files, inheritance rules for including personal/team content, and verification steps for updates.
  • Use Case: Prepare an enterprise AI assistant by compiling instructions for a client project, syncing the knowledge repository to Claude, and uploading the concatenated knowledge file to ChatGPT and Gemini.

Quick Start

Open the target LLM editor, copy the compiled project instructions into the platform's custom instructions field, and upload the concatenated knowledge file as the knowledge source.

Frequently Asked Questions about synthesis-llm-setup

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

FAQPage Schema
How do I set up LLM projects across multiple platforms like Claude, ChatGPT, and Gemini?▼

To set up LLM projects across platforms, compile platform-specific custom instructions and upload a concatenated knowledge file. This ensures consistent deployment across Claude, ChatGPT, and Gemini by standardizing instruction compilation and knowledge delivery.

What is a concatenated knowledge file for LLM platforms?▼

A concatenated knowledge file for LLM platforms is a single compiled document containing the project's knowledge base. It serves as the unified knowledge source uploaded to Claude, ChatGPT, and Gemini to provide context for custom instructions.

How do I synchronize repositories to automatically update LLM knowledge?▼

To synchronize repositories and automatically update LLM knowledge, use CI/CD pipelines to handle knowledge file compilation and delivery. This maintains automatic knowledge updates across platforms via Git sync or manual upload procedures.

Does this LLM setup workflow support Git sync for ChatGPT and Gemini?▼

Yes, the LLM setup workflow supports Git sync for repository synchronization. It accommodates both Git sync support and manual upload procedures to deliver concatenated knowledge files to ChatGPT, Gemini, and similar platforms.

What's the best way to compile custom instructions for different AI platforms?▼

The best way to compile custom instructions for different AI platforms is through a compilation step that produces platform-specific instruction files. This tailored approach ensures instructions work correctly across Claude, ChatGPT, and Gemini.

When do I need to manually upload knowledge files instead of using repository sync?▼

You need to manually upload knowledge files when a platform lacks repository sync support. The workflow accommodates both Git sync for compatible systems and manual uploads to maintain concatenated knowledge files across LLM platforms.

Related Skills

Explore More Software Engineering Skills→
Lucius646Lucius646

karpathy-llm-wiki

Manage Markdown-based knowledge bases with LLM-driven ingestion, querying, and maintenance.

Community
Intermediate
mfcollins3mfcollins3

azure-container-apps

Configure, troubleshoot, and deploy Azure Container Apps with ingress and scaling guidance.

Community
Advanced
newnolnewnol
2

GitHub & Git Operations

Automate Git and GitHub operations with conventional commits and ArgoCD workflows.

Community
Advanced
synthesisengineeringsynthesisengineering
15

synthesis-llm-setup

Automate LLM project setup and configuration across Claude, ChatGPT, and Gemini.

Official
Advanced