Clarify task intent and scope using the WHAT, WHY, HOW, and KNOWN UNKNOWNS framework.
npx skills add https://github.com/ioku24/autorankr --skill clarity
Please help me install this Agent Skill. Skill: clarity Source: https://github.com/ioku24/autorankr/tree/main/.claude/skills/5-system-framework/1.clarity Command: npx skills add https://github.com/ioku24/autorankr --skill clarity
Establishing a shared understanding before starting work prevents misalignment, rework, and wasted effort when inputs are vague, ambiguous, or conflicting.
Initiate the Clarity System on a new task by outlining WHAT, WHY, HOW, and KNOWN UNKNOWNS, then confirm and push context updates.
High-intent search queries and answers about installing and using this skill.
To clarify task scope, define the WHAT, WHY, HOW, and KNOWN UNKNOWNS to establish shared understanding and success criteria before execution. This prevents misalignment and reduces rework when inputs are vague or conflicting.
Handling fuzzy input involves applying a clarity protocol that defines the problem, rationale, and boundaries. This enforces alignment across stakeholders and produces a clear, actionable plan for execution.
An active context log maintains decision readiness by continuously recording scope updates and decisions. This reflects evolving task definitions and reduces back-and-forth communication during execution.
You need a clarity protocol at task inception or whenever inputs become ambiguous. It enforces the WHAT, WHY, HOW, and KNOWN UNKNOWNS framework to ensure alignment and reduce wasted effort.
Yes, establishing clear intent before action directly reduces rework caused by vague communication. It enforces problem boundaries and decision readiness, ensuring stakeholders share a unified understanding.
Defining known unknowns helps with task alignment by explicitly identifying boundaries and potential risks. This ensures stakeholders acknowledge what is unclear, preventing scope creep and guiding execution.
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