aiwg
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Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo
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{
"id": "verbalized-sampling",
"type": "addon",
"name": "Verbalized Sampling",
"version": "1.0.0",
"description": "Training-free prompting technique that improves output diversity by 1.6-2.1x through verbalized probability distributions, addressing RLHF mode collapse",
"core": false,
"autoInstall": false,
"author": "AIWG Contributors",
"license": "MIT",
"repository": "https://github.com/jmagly/aiwg",
"keywords": [
"diversity",
"verbalized-sampling",
"mode-collapse",
"creative",
"ideation",
"brainstorming",
"synthetic-data",
"prompting"
],
"researchFoundation": {
"arXiv:2510.01171v3": "Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity (2025)"
},
"entry": {
"agents": "agents/",
"prompts": "prompts/",
"skills": "skills/",
"rules": "rules/"
},
"agents": [
"content-diversifier"
],
"prompts": [
"vs-standard",
"vs-cot",
"vs-multi"
],
"skills": [
"diversity-tuning"
],
"rules": [
"diversity-awareness"
],
"dependencies": {
"required": [],
"optional": ["voice-framework"]
},
"configuration": {
"defaults": {
"k": 5,
"diversityThreshold": 0.1,
"outputFormat": "json",
"autoApply": false
}
}
}