skills.rest
itallstartedwithaidea
itallstartedwithaideaCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

assistant-presets

Build domain-specific AI assistant presets with prompts, examples, and benchmark tests.

31|8|Updated Apr 10, 2026
Search Tags:#prompt engineering#benchmarking#system prompt#a/b testing#guardrails#few-shot examples#assistant presets
One-click install
npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill assistant-presets
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: assistant-presets
Source: https://github.com/itallstartedwithaidea/agent-skills/tree/main/skills/productivity/assistant-presets
Command: npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill assistant-presets

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about assistant-presets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a domain-specific AI assistant with consistent behavior?▼

Build a domain-specific AI assistant by defining a reusable preset that encapsulates the system prompt, model parameters, tool permissions, and few-shot examples to enforce consistent behavior for specialized tasks.

What is the best way to A/B test system prompts for LLM applications?▼

A/B test system prompts by packaging configurations into versioned presets, evaluating them against a defined benchmark dataset, and iterating until your specified quality threshold is met.

How do few-shot examples improve AI assistant reliability in production?▼

Few-shot examples improve AI assistant reliability by providing curated input and output pairs within the preset, directly shaping the model's response style and structure to match expected formats.

Can I enforce guardrails and tool access permissions for specialized AI tasks?▼

Yes, you can enforce guardrails and tool access permissions by defining them as structured components within the assistant preset, restricting the AI to approved actions and compliance boundaries.

Does this assistant configuration approach work for code review and compliance triage?▼

Yes, this configuration approach works for code review, compliance triage, and contract review by applying domain-specific system prompts and output constraints to turn a general LLM into a specialist.

Related Skills

Explore More Software Engineering Skills→
surus-latsurus-lat
8

synthesize-data

Generate synthetic benchmark datasets as JSONL input-output pairs from task specifications.

Official
Intermediate
KsawyouxKsawyoux

prompt-engineer-toolkit

Evaluate, version, and A/B test AI prompts against defined test cases.

Community
Advanced
EstomEstom

prompt-engineer

Design and optimize prompts for LLM output quality and reliability.

Community
Advanced
tarunccettarunccet
5

prompt-engineering

Design production-quality prompts with output schemas and guardrails for structured outputs.

Community
Advanced