customer-feedback-analyzer
A framework for collecting, analyzing, and prioritizing user feedback across multiple channels to drive product strategy and feature development.
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129 skills found
A framework for collecting, analyzing, and prioritizing user feedback across multiple channels to drive product strategy and feature development.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.
Create well-structured user stories with clear acceptance criteria using the standard As a/I want/So that framework for agile team alignment.
Security advisory monitoring for NanoClaw WhatsApp bots, providing vulnerability scanning, skill safety checks, and integrity protection through MCP tools.
Clean up your current Claude Code session and automatically resume in a fresh, optimized terminal window.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Act as a skeptical technical recruiter to evaluate daily.dev Recruiter features. Review UI/UX, code, and workflows through the lens of a hiring platform built for high-quality developer-recruiter matching.
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Framework for game design including GDD structure, player psychology, progression pacing, and difficulty balancing strategies.
Automate Android device operations using AI AutoGLM Phone Agent. Enables natural language control for app testing, data collection, and UI interactions like tapping, scrolling, and inputting text.