feedback-collectorCollects and processes user feedback on task completion. Use after important tasks to ask if the result was satisfactory.
Install via ClawdBot CLI:
clawdbot install wqz666/feedback-collectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 5, 2026
After each support ticket resolution, automatically ask customers to rate satisfaction. For dissatisfied responses, collect detailed reasons (too slow, incomplete answer, etc.) and log them for agent training.
After generating blog posts, marketing copy, or design assets, request feedback on quality and relevance. Use positive feedback to reinforce style preferences and negative feedback to adjust tone or length.
Post code review or deployment, prompt team members to rate the process. Track improvement areas like 'documentation unclear' or 'testing insufficient' to refine agile practices.
After completing a scheduled task (e.g., exercise, pomodoro session), ask the user if it met expectations. Record successful patterns in a log and adjust scheduling or reminders based on negative feedback.
Offer a subscription service that integrates feedback collection into any workflow. Provides dashboards showing satisfaction trends and actionable insights, with premium tiers for AI-generated improvement suggestions.
License the feedback collector as a customizable widget that app developers embed post-action (e.g., after file export, report generation). Charge per 1000 feedback interactions or flat annual fee.
Use aggregated feedback logs to offer consulting services for improving AI assistants. Analyze failure patterns and recommend model updates or prompt engineering changes, billed per project.
💬 Integration Tip
Integrate the feedback collector into your existing post-task automation (e.g., after API calls, file saves) by triggering a simple multiple-choice prompt. Store logs in a markdown file or database for easy trend analysis.
Scored May 5, 2026
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
Monitor RSS and Atom feeds for content research. Track blogs, news sites, newsletters, and any feed source. Use when monitoring competitors, tracking industr...
用 MinerU API 解析 PDF/Word/PPT/图片为 Markdown，支持公式、表格、OCR。适用于论文解析、文档提取。
Provides a personalized morning report with today's reminders, undone Notion tasks, and vault storage summary for daily planning.
Extract text from PDFs with OCR support. Perfect for digitizing documents, processing invoices, or analyzing content. Zero dependencies required.
Fetch scheduled economic events and data releases from the FMP API for specified dates, filtering by impact, country, and type, and output a chronological ma...