Collect and organize raw product discovery materials from multiple sources.
npx skills add https://github.com/Wcof/PMSkill --skill pm-collect
Please help me install this Agent Skill. Skill: pm-collect Source: https://github.com/Wcof/PMSkill/tree/main/skills/discovery/pm-collect Command: npx skills add https://github.com/Wcof/PMSkill --skill pm-collect
This Skill solves the early-stage product discovery problem of fragmented, incomplete, and hard-to-trace input materials. It gathers raw context from conversation, URLs, project files, git history, and optional knowledge bases so a product manager can start refinement with a fuller evidence base instead of guesswork.
Ask the agent to run pm-collect on your requirement description so it scans the current conversation, repository, linked URLs, and configured knowledge base, then saves grouped raw materials into the collect output folder.
High-intent search queries and answers about installing and using this skill.
Product discovery materials are collected by scanning conversation context, repository artifacts, extracted URLs, and optional knowledge bases in priority order, then grouping findings by material type with source paths recorded for traceable aggregation.
Requirements and feedback aggregation is achieved by deduplicating sources, mapping explicit relationships between materials, and marking conflicting or supporting evidence without rewriting the original inputs.
Repository analysis surfaces product signals by inspecting README files, docs, config files, commit history, TODO or FIXME markers, and directory structure to gather evidence before PRD refinement begins.
Traceability is supported by recording source paths for all collected materials and explicitly marking supporting or conflicting relationships, ensuring every aggregated finding links back to its origin.
URL scraping and conversation context extraction consolidate scattered inputs by removing duplicates and saving grouped raw materials into a configurable collect output folder, ready for downstream refinement.
Requirement intake functions with the knowledge base as an optional source, relying primarily on conversation context, project repository artifacts, and extracted URLs for evidence collection.
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