Mirror requests back as What, Why, Scope, and Constraints with a confirmation question.
npx skills add https://github.com/sr-ai-dev/sr-harness --skill mirror-sr-ai-dev
Please help me install this Agent Skill. Skill: mirror Source: https://github.com/sr-ai-dev/sr-harness/tree/main/skills/mirror Command: npx skills add https://github.com/sr-ai-dev/sr-harness --skill mirror-sr-ai-dev
Users often ask for changes without clearly stating deliverables, motivations, scope, and constraints, leading to misunderstandings and wrong outputs.
Use the mirror skill by sending /mirror followed by your request, for example: /mirror I want error handling standardized across services so users get consistent messages.
High-intent search queries and answers about installing and using this skill.
To clarify a vague request, the Skill mirrors your input back as structured What, Why, Scope, and Constraints, explicitly stating assumptions and returning one targeted confirmation question to verify intent.
Confirming scope definition involves paraphrasing the incomplete instructions into a structured format and prompting a correction-confirmation loop to verify assumptions before proceeding.
Interactive feedback handles intent confirmation by reframing your request into a consistent mirror back format, detecting gaps, and guiding a limited correction loop before handing off to the next step.
The mirror Skill does not execute planning, code, or git actions; it enforces prompt constraints by focusing solely on request clarification and structured paraphrasing to confirm clarity.
You need request clarification when users ask for changes without clearly stating deliverables, motivations, scope, and constraints, which leads to misunderstandings and wrong outputs.
danielorzeata83-a11yShape raw text into a structured article through conversational guidance.
KubrickCodeCreate structured work execution plans with goals, scope, and task order.
GenproMMAnalyze Claude's phase assumptions from roadmap data for early correction.
Dqz00116Detects ambiguous user instructions and requests clarification before execution via standardized approval workflows.
