afrexai-prompt-engineeringConvert vague instructions into clear AI prompts using structures, techniques, and templates for reliable, precise, and measurable outputs.
Install via ClawdBot CLI:
clawdbot install 1kalin/afrexai-prompt-engineeringGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"ignore previous instructions"Calls external URL not in known-safe list
https://afrexai-cto.github.io/context-packs/AI Analysis
The skill contains a single external URL reference to a GitHub Pages site for 'context packs', which appears consistent with a prompt engineering resource. However, the URL is not documented or verified, and GitHub Pages can host arbitrary content. No active data exfiltration, credential harvesting, or prompt poisoning instructions were found in the provided content.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Law firms can use this skill to create prompts that analyze SaaS contracts, identifying risks and suggesting redlines. The CRAFT framework ensures thoroughness, while the health check maintains consistency across multiple reviews.
Software companies can apply the skill to generate clear, structured documentation for APIs or codebases. By specifying roles like senior technical writers and using few-shot examples, outputs meet quality standards for developer audiences.
Marketing agencies can leverage prompt engineering to craft high-conversion sales copy. The role selection guide helps choose direct response copywriters, and constraint engineering ensures brand voice adherence and length limits.
Consulting firms can use this skill to produce detailed industry analyses. Structured CoT prompts enable step-by-step reasoning, while XML tagging separates context from data for accurate, formatted reports.
Edtech platforms can employ the skill to generate lesson plans or quizzes. The prompt structure template ensures outputs include examples and edge cases, making content adaptable for diverse student needs.
A subscription-based platform offering templates, testing suites, and analytics for prompt engineering. It targets enterprises needing scalable AI workflows, with tiered pricing based on usage and features.
Providing workshops and custom prompt design for companies integrating LLMs. Revenue comes from project-based fees and ongoing support contracts, focusing on industries like legal or marketing.
A platform where users buy and sell pre-engineered prompts for specific tasks. It generates revenue through transaction fees and premium listings, catering to freelancers and small businesses.
💬 Integration Tip
Integrate the health check into existing AI pipelines to validate prompts before deployment, ensuring reliability and reducing output inconsistencies.
Scored Apr 19, 2026
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
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