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{
"Universal LLM Initialization": {
"prefix": "ud-init",
"body": [
"import { UniversalLLM } from 'universal-developer';",
"",
"const llm = new UniversalLLM({",
" provider: '${1|anthropic,openai,qwen,gemini,ollama|}',",
" apiKey: process.env.${2:${1/(anthropic|openai|qwen|gemini)/${1:/upcase}_API_KEY/}}",
"});"
],
"description": "Initialize a Universal Developer LLM instance"
},
"Thinking Mode Generator": {
"prefix": "ud-think",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/think ${3:What are the implications of ${4:technology} on ${5:domain}?}\"",
"});"
],
"description": "Generate response using thinking mode"
},
"Fast Mode Generator": {
"prefix": "ud-fast",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/fast ${3:${4:Summarize} ${5:this information}}\"",
"});"
],
"description": "Generate concise response using fast mode"
},
"Loop Mode Generator": {
"prefix": "ud-loop",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/loop --iterations=${3:3} ${4:Improve this ${5:text}: ${6:content}}\"",
"});"
],
"description": "Generate iteratively refined response using loop mode"
},
"Reflection Mode Generator": {
"prefix": "ud-reflect",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/reflect ${3:${4:Analyze} the ${5:implications} of ${6:topic}}\"",
"});"
],
"description": "Generate self-reflective response using reflection mode"
},
"Fork Mode Generator": {
"prefix": "ud-fork",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/fork --count=${3:2} ${4:Generate different ${5:approaches} to ${6:problem}}\"",
"});"
],
"description": "Generate multiple alternative responses using fork mode"
},
"Chain Commands": {
"prefix": "ud-chain",
"body": [
"const response = await llm.generate({",
" ${1:systemPrompt: `${2:You are a helpful assistant.}`,}",
" prompt: \"/${3|think,loop,reflect,fork|} /${4|think,loop,reflect,fork|} ${5:Prompt text}\"",
"});"
],
"description": "Generate response using chained symbolic commands"
},
"Custom Command Registration": {
"prefix": "ud-custom",
"body": [
"llm.registerCommand(\"${1:commandName}\", {",
" description: \"${2:Command description}\",",
" ${3:parameters: [",
" {",
" name: \"${4:paramName}\",",
" description: \"${5:Parameter description}\",",
" required: ${6:false},",
" default: ${7:\"defaultValue\"}",
" }",
" ],}",
" transform: async (prompt, options) => {",
" ${8:// Custom implementation}",
" const systemPrompt = `\\${options.systemPrompt || ''}",
"${9:Custom system prompt instructions}`;",
"",
" return {",
" systemPrompt,",
" userPrompt: prompt,",
" modelParameters: {",
" ${10:temperature: 0.7}",
" }",
" };",
" }",
"});"
],
"description": "Register a custom symbolic command"
},
"Express API Integration": {
"prefix": "ud-express",
"body": [
"import express from 'express';",
"import { UniversalLLM } from 'universal-developer';",
"",
"const app = express();",
"app.use(express.json());",
"",
"const llm = new UniversalLLM({",
" provider: '${1|anthropic,openai,qwen,gemini,ollama|}',",
" apiKey: process.env.${2:${1/(anthropic|openai|qwen|gemini)/${1:/upcase}_API_KEY/}}",
"});",
"",
"app.post('/api/generate', async (req, res) => {",
" try {",
" const { prompt, systemPrompt } = req.body;",
" ",
" // Get command from query param or default to /think",
" const command = req.query.command || 'think';",
" ",
" const response = await llm.generate({",
" systemPrompt,",
" prompt: `/${command} ${prompt}`",
" });",
" ",
" res.json({ response });",
" } catch (error) {",
" console.error('Error generating response:', error);",
" res.status(500).json({ error: error.message });",
" }",
"});"
],
"description": "Express API integration with Universal Developer"
}
}
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