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AI Prompt Engineering: Job Decoder & Reverse Prompting

Effective AI prompt engineering is crucial for unlocking the full potential of language models. This week's insights introduce several powerful techniques, including a comprehensive 'Job Match Decoder' prompt that reverse-engineers job descriptions for better resume tailoring. We also explore the concept of 'reverse prompting,' a new strategy where the AI leads the conversation, and provide a guide for using Claude Cowork to automate video editing workflows.

Advanced Prompting Techniques for Better Results

Moving beyond basic questions is key to getting high-quality output from AI models. Experts are sharing new strategies, from complex, multi-step prompts to novel conversational frameworks that can significantly improve your results. Mastering this level of AI prompt engineering separates casual users from power users.

The Job Match Decoder Prompt

For job seekers, a powerful new prompt template has emerged that helps tailor resumes and prepare for interviews. By instructing the AI to act as a combined senior recruiter and hiring manager, it analyzes a job description to identify what truly matters to employers.

The prompt asks the AI to break down the job description into several key areas: must-have skills, experiences that signal a strong fit, hidden subtext, and critical keywords for resume screening. This structured approach helps candidates focus on what will make a recruiter take notice. Here is the core of the prompt:

Prompt

You are a senior recruiter and hiring manager combined.

Analyze the following job description and reverse-engineer what actually gets candidates interviewed — not generic requirements.

Job description:
[Paste job description here]

Your tasks:
Must-Have Skills (Non-Negotiables)
Identify the 5–8 skills that are critical for this role

Experience & Achievements That Signal Fit
Extract the types of past roles, accomplishments, or outcomes that would strongly impress the hiring team

Hidden Signals & Subtext
Call out any implied expectations (seniority level, pace, autonomy, stakeholder exposure, ambiguity tolerance)

Resume & ATS Keywords
List the exact keywords, phrases, and terminology likely used to screen resumes and LinkedIn profiles

Interview-Driving Signals
Explain what would make a recruiter say: “This person should be interviewed”

Exploring Reverse Prompting and Creative Prompts

A new technique called reverse prompting is gaining traction. Instead of providing the AI with detailed instructions, this method involves letting the chatbot take the lead and steer the conversation. This can be useful for brainstorming or exploring topics without a predefined direction.

Example Reverse Prompt

Act as a senior marketing strategist. I want to create a launch campaign for a new product, but I am not sure where to start. Instead of providing a generic plan, I want you to interview me. Ask me questions, one by one, to uncover my product details, target audience, budget, and unique selling points. Continue asking questions until you have enough information to construct a comprehensive marketing strategy. Once you have all the details, present the full plan to me.

For visual generation, a creative Midjourney prompt demonstrates how to achieve a specific artistic style. The following prompt was used to create an image of tiny people restoring a globe:

Midjourney Prompt

Miniature people carefully restoring a globe, tiny builders and restorers repairing the world with ladders, scaffolding, brushes and tools, cracks being mended, greenery growing back, collaboration and care, hopeful atmosphere, warm soft light, symbolic social change, macro photography, tilt-shift effect, ultra detailed, cinematic, inspirational --ar 2:3 --raw

Practical AI Workflows and Tips

Beyond single prompts, users are building entire workflows around AI. These systems often involve multiple prompts and interactions to accomplish complex tasks.

Automating Video Editing with Claude Cowork

A new guide demonstrates how to use Claude Cowork to replace expensive video clipping tools. The workflow involves providing a video transcript with timestamps to Claude and using a series of prompts to identify and generate clips.

Users start by prompting, "Read main SOP and scaffold our directory... Then find me 10 scroll-stopping clip ideas to review." After reviewing the AI's suggestions, a simple follow-up like "Generate clip 1 and 6" instructs the model to process the video file and create the clips locally.

Tips for Claude Code Plugins

For developers, Claude Code's new plugin system offers a way to extend its capabilities. Creating a plugin is straightforward: make a folder with a plugin.json manifest file and a skills/ directory containing markdown files with instructions. A key insight is that plugins use namespacing (e.g., /my-plugin:hello), which prevents conflicts if multiple team members create skills with the same name. ChatGPT users can achieve similar results using 'Connectors' to integrate external tools.

Users are also finding creative personal use cases, such as using Claude to generate JavaScript expressions for After Effects animations or asking ChatGPT to revise a knitting pattern after making a mistake.

#Prompt Engineering#ChatGPT Prompts#AI Prompts#Claude Code#Midjourney
Csaba Szirják
CTO & COO, AI Evangelist

Meet Csaba Szirják, the engineer behind testified.ai. With 20+ years as VP of Engineering, CTO, and WorldSkills Expert, Csaba audits AI software for enterprise integration, security, and ROI.