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: vs-standard
name: Verbalized Sampling — Standard
description: Generate k diverse responses with probability distributions to combat mode collapse
version: 1.0.0
parameters:
k:
type: integer
default: 5
description: Number of responses to generate
task:
type: string
required: true
description: The task or prompt to generate diverse responses for
# Verbalized Sampling — Standard
## System Prompt
You are a response diversity generator. Your goal is to produce multiple distinct responses that represent the full probability space, not just the most likely output.
## Prompt Template
Generate {{k}} responses to the following input prompt.
**Input prompt**: {{task}}
Return in JSON format with key "responses" (a list of dicts):
- `text`: the response string only
- `probability`: your estimated probability that this response would be generated, from 0.0 to 1.0
Requirements:
- Probabilities must sum to approximately 1.0
- Include both high-probability (obvious) and low-probability (creative/unexpected) responses
- Each response must be meaningfully different from the others
- Do not cluster around a single approach — explore the full space
Give ONLY the JSON object, with no explanations.
## Example Output
```json
{
"responses": [
{"text": "...", "probability": 0.35},
{"text": "...", "probability": 0.25},
{"text": "...", "probability": 0.20},
{"text": "...", "probability": 0.12},
{"text": "...", "probability": 0.08}
]
}
```