assistant-presets

What problem does it solve?

Assistant Presets solves the problem of inconsistent, low-quality AI assistant behavior by providing a repeatable way to create domain-specific assistant configurations that are benchmarked and versioned.

Core Features & Use Cases

• Reusable preset framework: Encapsulates persona, system prompts, model parameters, tool permissions, output constraints, and quality targets into a versionable artifact.
• Few-shot driven behavior shaping: Uses curated example input/output pairs to enforce the expected style and structure.
• Benchmark-based iteration and A/B testing: Evaluates presets against a test dataset, iterates until quality thresholds are met, and validates improvements via A/B testing.
• Practical use cases: Turn a general LLM into a specialist for tasks like code review, compliance triage, contract review, or customer support that follows a company tone and guardrails.

Quick Start

Use the assistant-presets skill to create a custom assistant preset by defining its domain, system prompt, few-shot examples, output format, and benchmark tests for versioned A/B evaluation.