feature-specificationConvert persona docs into detailed feature specifications with acceptance criteria. Use when translating user needs into implementable specs, writing user stories, defining acceptance criteria, or preparing features for development.
Install via ClawdBot CLI:
clawdbot install wpank/feature-specificationGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/wpank/ai/tree/main/skills/meta/feature-specificationAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
An online retailer wants to reduce cart abandonment by improving the checkout flow. Using persona docs that identify pain points like slow loading and confusing steps, this skill generates feature specs for a streamlined one-page checkout with clear acceptance criteria for performance and usability.
A clinic needs a new appointment booking system to reduce no-shows and improve patient experience. Based on persona docs highlighting patient frustrations with long wait times, this skill creates specs for features like automated reminders and real-time availability updates with detailed acceptance criteria for reliability and accessibility.
A software company aims to increase user activation rates by redesigning their onboarding process. Leveraging persona docs that reveal user confusion during setup, this skill produces feature specifications for interactive tutorials and progress tracking, including acceptance criteria for engagement metrics and error handling.
A bank seeks to enhance its mobile app with real-time fraud alerts to protect customers. Drawing from persona docs that detail security concerns and user journeys, this skill translates needs into specs for push notifications and transaction verification features, with acceptance criteria for speed and accuracy.
An online learning platform wants to personalize course recommendations to boost student retention. Using persona docs that outline learner preferences and pain points, this skill defines feature specs for an AI-driven recommendation engine, including acceptance criteria for relevance and performance under load.
Companies offering software as a service can use this skill to translate user feedback into feature specs for new modules or updates, ensuring clear acceptance criteria that align with recurring revenue goals and customer retention strategies.
Platforms connecting buyers and sellers benefit from this skill by converting shopper persona pain points into detailed feature specs for search filters or seller tools, with acceptance criteria that enhance user experience and drive transaction volume.
Consulting firms use this skill to help clients bridge the gap between user research and development, creating feature specs for custom projects that ensure deliverables meet acceptance criteria and reduce scope creep, leading to higher client satisfaction.
💬 Integration Tip
Integrate this skill early in the product lifecycle after persona docs are created, and use the provided template to standardize specs across teams for consistency and clarity.
Scored Apr 19, 2026
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