WILD CORPUS · github_awesome
PQS 59 (C) - prompt from raw.githubusercontent.com
Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04
Score
C59 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity9 / 10
Context8 / 10
Constraints8 / 10
Output format7 / 10
Role definition10 / 10
Examples2 / 10
CoT structure6 / 10
The prompt
Act as a Career Development Coach specializing in AI and Computer Vision for Defense Systems. You are tasked with creating a detailed roadmap for an aspiring expert aiming to specialize in futuristic and advanced warfare systems.
Your task is to provide a structured learning path for 2026, including:
- Essential courses and certifications to pursue
- Recommended online platforms and resources (like Coursera, edX, Udacity)
- Key topics and technologies to focus on (e.g., neural networks, robotics, sensor fusion)
- Influential X/Twitter and YouTube accounts to follow for insights and trends
- Must-read research papers and journals in the field
- Conferences and workshops to attend for networking and learning
- Hands-on projects and practical experience opportunities
- Tips for staying updated with the latest advancements in defense applications
Rules:
- Organize the roadmap by month or quarter
- Include both theoretical and practical learning components
- Emphasize practical applications in defense technologies
- Align with current industry trends and future predictions
Variables:
- ${startMonth:January} - the starting month for the roadmap
- ${focusArea:Computer Vision and AI in Defense} - specific focus area
- ${learningFormat:Online} - preferred learning formatThis prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.