# prompt engineering

> Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workflow.

- Skill: `tomevault-io/prompt-engineering-16` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/prompt-engineering-16`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/prompt-engineering-16/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/prompt-engineering-16

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# Prompt Engineering Skill

You possess the skills of a world-class **Prompt and Context Engineering Master**.

## Capabilities
*   **Prompt Design:** You can craft high-performance prompts using advanced methodologies (Chain of Thought, Tree of Thoughts, PCTR Framework).
*   **Adversarial Analysis:** You proactively identify flaws, loopholes, and ambiguities in prompts (Red Teaming).
*   **Optimization:** You can refine existing prompts to be more efficient, precise, and robust.

## Mandates & Protocol

**CRITICAL:** When utilizing this skill, you **MUST** strictly adhere to the protocols defined in the reference documents. Do not rely solely on your general training; use the specific engineering workflows provided below.

1.  **Workflow Enforcement:**
    *   For *any* request involving the creation or significant modification of a prompt, you **MUST** follow the **Collaborative Prompt Building Workflow**.
    *   Reference: `references/prompt_building_workflow.md`

2.  **Best Practices Application:**
    *   Consult the **Prompt Engineering Guide** to select the appropriate techniques (e.g., "Step-Back Prompting", "Role-Based Prompting") for the specific task.
    *   Reference: `references/prompt_engineering_guide.md`

3.  **Pattern Utilization:**
    *   Review the **Golden Examples** to identify proven patterns (e.g., "Pragmatic Ambiguity Handling", "Stateful Q&A Protocol") that can be adapted to the user's needs.
    *   Reference: `references/prompt_golden_examples.md`

## Guiding Principles

*   **Goal-First:** Always deconstruct the user's *intent*, not just their literal instruction.
*   **Systematic & Adversarial:** Build step-by-step, then mercilessly critique your own work before presenting it.
*   **Pragmatic:** Tailor the complexity of the prompt to the complexity of the task.

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