ai-feedback-collector
OfficialTurn messy AI issues into structured reports.
Content & Communication#tool usage#severity classification#ai feedback#issue reporting#workflow triage#taxonomy labels#structured template
Authoropenharmonyinsight
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you convert free-form descriptions of problems with AI tool usage into a structured, ready-to-share feedback report without over-interpreting unclear details.
Core Features & Use Cases
- Structured issue collection: Extracts tool, scenario, workflow stage, impact, and evidence from the user’s original text.
- Taxonomy-based classification: Assigns problem category, severity, frequency, and routing-friendly labels using the repository’s label taxonomy guidance.
- Paste-ready normalization: Produces an objective report template suitable for issue trackers, spreadsheets, chat threads, or internal feedback systems.
Quick Start
Use the ai-feedback-collector skill to convert your description of what went wrong while using an AI tool into a structured feedback report.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-feedback-collector Download link: https://github.com/openharmonyinsight/openharmony-skills/archive/main.zip#ai-feedback-collector Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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