Generate evidence-based feedback reports with severity ratings and closure plans.
npx skills add https://github.com/truongnat/skills --skill feedback-pro
Please help me install this Agent Skill. Skill: feedback-pro Source: https://github.com/truongnat/skills/tree/main/skills/feedback-pro Command: npx skills add https://github.com/truongnat/skills --skill feedback-pro
Provides structured, evidence-based feedback on code, docs, and design, enabling teams to move from vague comments to prioritized, actionable improvements with clear closure criteria.
Ask for a deep, evidence-backed feedback report on the provided artifact with explicit closure criteria.
High-intent search queries and answers about installing and using this skill.
Actionable feedback converts ambiguous comments into traceable findings with observed behavior, impact, and remediation steps. It requires evidence-backed findings, severity calibration, and an explicit closure plan to prioritize must-fix versus nice-to-have items efficiently.
Structured design critique findings separate executive-friendly summaries from implementer-level detail. This structure includes clear owner hints, severity calibration, and explicit verification steps, ensuring teams move from vague comments to prioritized improvements with clear closure criteria.
Calibrating severity for documentation gaps involves evidence-backed findings to distinguish must-fix issues from nice-to-haves. It produces owner-ready action plans with explicit closure criteria and verification steps to close quality gaps efficiently.
Evidence-based feedback applies directly to quality assessments across engineering, product, and documentation domains. It provides structured, evidence-backed findings with clear actions and closure, ensuring reviews and critiques yield prioritized, actionable improvements.
Structured feedback requires explicit closure criteria to ensure actionable outcomes. Outputs must include must-fix versus nice-to-have categorization, owner hints, and verification steps, enabling teams to move from vague comments to prioritized improvements efficiently.
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