Collect and analyze real-user feedback to generate actionable product specs.
npx skills add https://github.com/Ship-With-AI/skills --skill collect-feedback
Please help me install this Agent Skill. Skill: collect-feedback Source: https://github.com/Ship-With-AI/skills/tree/main/collect-feedback Command: npx skills add https://github.com/Ship-With-AI/skills --skill collect-feedback
Collecting and turning real-user feedback into actionable product specifications can be time-consuming and error-prone. This skill guides you to recruit testers, structure feedback, and convert insights into concrete specs that drive product decisions.
Open the collect-feedback skill and follow the guided prompts to gather tester input and convert it into actionable specs.
High-intent search queries and answers about installing and using this skill.
To turn user feedback into actionable product specs, use the ANALYZE mode to ingest gathered responses, identify recurring issues, and generate prioritized specs for your roadmap. It reads PROJECT.md and codebase references to produce execution-ready outputs.
The best way to plan MVP validation is using a dedicated PLAN mode to design tester outreach, assemble targeted feedback plans, and prepare test scripts. This structured approach ensures you recruit the right testers for your product.
Yes, you can analyze collected feedback to identify recurring product issues. The ANALYZE mode ingests gathered user responses and extracts patterns to surface opportunities, generating prioritized specs for product improvements.
You need an existing MVP when using this skill for structured validation from real users. It is designed for cases where you have a build ready and need to decide which features to build next based on actual feedback.
User research integrates with existing project documentation by reading and referencing PROJECT.md and your codebase. This allows the analysis to surface tester insights accurately and produce execution-ready specs aligned with your current project.
A limitation of relying on user feedback for product roadmap prioritization is that the output depends on the quality of collected responses. The skill structures and analyzes the data, but cannot validate features if insufficient or untargeted tester outreach is performed.
telum-aiCreate a Speck project structure with a skeleton project.md file.
root-5Plan, prioritize, and track project progress with centralized reporting.
musher-devValidate architectural sketch assumptions against an existing codebase.
elihuvillarausAudit a codebase for architectural issues and generate a Product Requirement Document.
