agent:prompt
Prompt Engineering
Guides the user through designing and optimizing prompts for AI agents. Based on "Principles of Building AI Agents" (Bhagwat & Gienow, 2025), Part I: Prompting a Large Language Model.
When to use
Use this skill when the user needs to:
- Choose the right model and provider for their agent
- Write or improve system prompts and agent instructions
- Design few-shot examples for consistent output
- Optimize prompts for production (cost, quality, latency)
- Bootstrap a prompt from scratch using the seed crystal approach
Instructions
Step 1: Understand the Use Case
Use the AskUserQuestion tool to gather context:
- What does the agent do? (task type: classification, generation, extraction, conversation, code, reasoning)
More from ikatsuba/skills
spec:design
Technical Design - generates architecture diagrams, interfaces, and data flow based on requirements and chosen research solutions. Use when designing how a feature will be built.
18git:amend
Amend Commit - modifies the last commit with staged changes or new message
15spec:tasks
Task Breakdown - generates an implementation plan with tracked tasks based on requirements and design documents. Use when breaking down a design into actionable work items.
14spec:requirements
Requirements Analysis - gathers requirements through structured questions and produces a requirements document with testable acceptance criteria. Use when starting a new feature spec or documenting requirements.
14git:commit
Smart Commit - stages all changes and creates a conventional commit
13spec:do-next
Execute Next Task - runs the next pending task from the tasks document
9