Customer Feedback to Fixes
Turn customer feedback into product and website fixes
Analyze reviews, return reasons, and support exports with AI. A free skill that links customer evidence to practical product, website, and process improvements.
Made for
Product, e-commerce, and customer-experience leads
What you bring
- Customer reviews, return reasons, and support exports
- Product identifiers and relevant customer journey stages
- Known constraints and records needed to trace each finding
What you get back
- Deduplicated themes linked to original customer records
- Suggested fixes for specific products, pages, or process steps
- Measured counts separated from estimated impact and open questions
Install this skill
npx skills add https://github.com/aidevs-pt/devs-ai-skills --skill customer-feedback-to-fixesRun in your project folder and follow the installer prompts for your assistant. Node.js and npx are required.
MIT-licensed. Your AI assistant, model access, or optional integrations may have separate costs.
A concrete starting point.
Use the bundled synthetic example before introducing company data. No account connection or business files are needed for that first trial.
- Install the skill in your assistant.
- Open its bundled example input and supporting files.
- Ask for the named skill, then review its output against the sources.
A request to try
Use customer-feedback-to-fixes with the bundled example. Deduplicate records, group issues by product or journey stage, and propose fixes linked to source evidence. Keep counts separate from impact estimates.
- Customer evidence
- A review and a return record describe the same sizing issue.
- Deduplication
- Treat linked records as one case, not two independent customers.
- Proposed fix
- Review the size guide and verify the issue against product measurements.
This is an illustration of the work, not a recorded model result or a performance claim.
Where human review matters
A theme is not proof of its cause or expected revenue impact. Keep links to the original records, protect customer data, and flag conclusions that need more evidence.
The repository includes local helper checks. Passing those checks does not validate language quality, your business rules, or a production integration. Python 3.10+ is needed for the helper tools.
Read the skill instructions