Refine raw prompts with project context into structured, executable prompts.
npx skills add https://github.com/Anders-planck/opencode-config --skill tell-me-anders-planck
Please help me install this Agent Skill. Skill: tell-me Source: https://github.com/Anders-planck/opencode-config/tree/main/skills/tell-me Command: npx skills add https://github.com/Anders-planck/opencode-config --skill tell-me-anders-planck
Raw prompts often lack sufficient context and clarity, leading to ambiguous results and unsafe executions. This Skill provides a structured refinement workflow with explicit approval to improve prompt quality and governance.
Provide a raw prompt and project context to initiate refinement and await approval.
High-intent search queries and answers about installing and using this skill.
To refine raw prompts, you provide the initial request and project context to assemble a structured prompt with role, objective, constraints, and output format, ensuring clarity and scope before execution.
An approval gate in prompt workflows is an explicit checkpoint requiring user confirmation before execution. It is needed when governance is critical, preventing unintended actions from ambiguous or unclear raw prompts.
You enforce a strict output format and quality checks by defining a structured output contract during prompt refinement, ensuring the final executable prompt meets actionable result standards before approval and execution.
Yes, you can use prompt refinement for operational tasks and ideation scenarios. It processes vague briefs into concrete prompts with defined context and constraints, improving clarity across various AI-prompt applications.
The best way to prevent unsafe executions is implementing a structured refinement workflow with an explicit approval gate, adding context and quality checks to transform raw prompts into safe, executable commands.
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