muratcankoylan

Intent Based Prompt Calibration — Testing skill for Claude Code

Testing community

A system for automatic prompt optimization using Claude 3.5 models.

How to install Intent Based Prompt Calibration

This entry records only its repository, not the path inside it, so there is no exact command to give. Open muratcankoylan/Intent-based-Prompt-Calibration and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Intent Based Prompt Calibration does

A system for automatic prompt optimization using Claude 3.5 models. IPC enables dynamic prompt refinement through iterative testing and improvement cycles, particularly useful for complex tasks like content moderation.

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README

Intent-based Prompt Calibration (IPC)

Features

Automatic prompt optimization through systematic testing
Synthetic test case generation for edge cases
Comprehensive error analysis and tracking
Multi-model architecture using Claude 3.5 models
Simple configuration and usage

Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases: https://arxiv.org/abs/2402.03099

Quick Start

from ipc_system import AdvancedIPCConfig, EnhancedIPCSystem
import anthropic

# Initialize client
client = anthropic.Anthropic(api_key="your-api-key")

# Configure system
config = AdvancedIPCConfig(
    task_description="Your task description",
    labels=["label1", "label2"],
    initial_prompt="Your initial prompt"
)

# Run IPC
ipc = EnhancedIPCSystem(client, config)
best_prompt, history = ipc.calibrate()