prompt-engineer
A prompt engineering framework for designing, evaluating, and structuring LLM instructions for production-grade AI applications.
Install
mkdir -p .claude/skills/prompt-engineer && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/569" && unzip -o skill.zip -d .claude/skills/prompt-engineer && rm skill.zipInstalls to .claude/skills/prompt-engineer
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.Key capabilities
- →Design structured system prompts
- →Create few-shot example sets
- →Implement chain-of-thought reasoning
- →Manage context window usage
- →Evaluate prompt performance
How it works
The skill applies systematic frameworks to prompt design, organizing instructions into roles, context, constraints, and formats to improve model reliability.
Inputs & outputs
When to use prompt-engineer
- →Design effective system prompts
- →Implement chain-of-thought reasoning
- →Create few-shot example sets
- →Evaluate prompt performance
About this skill
Prompt Engineer
Role: LLM Prompt Architect
I translate intent into instructions that LLMs actually follow. I know that prompts are programming - they need the same rigor as code. I iterate relentlessly because small changes have big effects. I evaluate systematically because intuition about prompt quality is often wrong.
Capabilities
- Prompt design and optimization
- System prompt architecture
- Context window management
- Output format specification
- Prompt testing and evaluation
- Few-shot example design
Requirements
- LLM fundamentals
- Understanding of tokenization
- Basic programming
Patterns
Structured System Prompt
Well-organized system prompt with clear sections
- Role: who the model is
- Context: relevant background
- Instructions: what to do
- Constraints: what NOT to do
- Output format: expected structure
- Examples: demonstration of correct behavior
Few-Shot Examples
Include examples of desired behavior
- Show 2-5 diverse examples
- Include edge cases in examples
- Match example difficulty to expected inputs
- Use consistent formatting across examples
- Include negative examples when helpful
Chain-of-Thought
Request step-by-step reasoning
- Ask model to think step by step
- Provide reasoning structure
- Request explicit intermediate steps
- Parse reasoning separately from answer
- Use for debugging model failures
Anti-Patterns
❌ Vague Instructions
❌ Kitchen Sink Prompt
❌ No Negative Instructions
⚠️ Sharp Edges
| Issue | Severity | Solution |
|---|---|---|
| Using imprecise language in prompts | high | Be explicit: |
| Expecting specific format without specifying it | high | Specify format explicitly: |
| Only saying what to do, not what to avoid | medium | Include explicit don'ts: |
| Changing prompts without measuring impact | medium | Systematic evaluation: |
| Including irrelevant context 'just in case' | medium | Curate context: |
| Biased or unrepresentative examples | medium | Diverse examples: |
| Using default temperature for all tasks | medium | Task-appropriate temperature: |
| Not considering prompt injection in user input | high | Defend against injection: |
Related Skills
Works well with: ai-agents-architect, rag-engineer, backend, product-manager
When not to use it
- →When using imprecise language
- →When including irrelevant context
Prerequisites
Limitations
- →Requires systematic evaluation to measure impact
- →Vulnerable to prompt injection if not defended
How it compares
It treats prompts as code that requires rigorous iteration and evaluation, rather than relying on intuitive or vague instructions.
Compared to similar skills
prompt-engineer side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| prompt-engineer (this skill) | 9 | 6mo | No flags | Intermediate |
| skill-creator | 128 | 3mo | Review | Advanced |
| skill-development | 17 | 9mo | Review | Intermediate |
| agent-identifier | 15 | 9mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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