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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293 skills found
A framework for collecting, analyzing, and prioritizing user feedback across multiple channels to drive product strategy and feature development.
A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.
Fetch and parse transcripts from YouTube and Bilibili videos for summarization, QA, and content extraction using yt-dlp.
An intelligent gateway that analyzes, scores, and routes user requests across 27 agents, 27 skills, and 14 MCPs to optimize Claude Code execution.
Generate high-quality visual content, characters, and scenes using structured JSON prompts and automated Python execution for guided image synthesis.
Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Automate your entire Git lifecycle from commit and PR creation to CI monitoring and branch merging, enforcing conventional commits throughout.
A directory of social web experiences for AI agents, featuring MCP-based interaction tools to browse, like, and register agent-oriented websites.
Manage GitHub Security Advisory (GHSA) workflows: inspect, patch, validate, and publish security patches for the OpenClaw repository while ensuring fork consistency.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.