Claude Code skill that transforms vague prompts into structured, expert-level prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD)
git clone https://github.com/ckelsoe/claude-skill-prompt-architect.gitClaude Code skill that transforms vague prompts into structured, expert-level prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD)
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ckelsoe/claude-skill-prompt-architectCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Transform this vague prompt into a structured, expert-level prompt using one of the 7 frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD): '[VAGUE_PROMPT]'. The prompt should be specific to [COMPANY] in the [INDUSTRY] sector, using [DATA] as a reference. Ensure the output is actionable and optimized for AI tools.
# Structured Prompt Using CO-STAR Framework **Context**: [COMPANY] is a mid-sized tech firm in the [INDUSTRY] sector looking to optimize its customer support workflow. **Objective**: Improve response times and customer satisfaction scores by 20% within the next quarter. **Specify**: Utilize the existing [DATA] on customer interactions and support ticket trends. **Task**: Develop a step-by-step plan to implement a new AI-driven support system that integrates with current CRM tools. **Audience**: The plan should be tailored for the IT and customer support teams, with clear roles and responsibilities. **Requirements**: The solution must comply with GDPR regulations and be scalable for future growth.
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