Generate contextualized draft from prior chat Q&A history and flagged user notes.
npx skills add https://github.com/wlee075/chatbot --skill drafting-wlee075
Please help me install this Agent Skill. Skill: drafting Source: https://github.com/wlee075/chatbot/tree/main/skills/drafting Command: npx skills add https://github.com/wlee075/chatbot --skill drafting-wlee075
This skill consolidates scattered Q&A rounds and contextual data into a single, coherent PRD draft for the current section, ensuring only confirmed PM answers are used and preventing drift between sections.
prd_sections).[NEEDS CLARIFICATION], [ASSUMPTION], and [CONFLICT] to surface necessary PM actions.current_draft and updates chat_history with a draft entry to support traceability and future revisions.Provide a complete draft for the current PRD section using all accumulated Q&A rounds and the context_doc.
High-intent search queries and answers about installing and using this skill.
To convert Q&A rounds into a PRD draft, synthesize accumulated answers and context data into a single coherent section draft while preserving consistency with prior completed sections. The tool references existing PRD sections to prevent content drift and ensure alignment.
Maintain PRD consistency by referencing prior completed sections stored in the state fields during the drafting process. This approach ensures the current draft aligns with established context, preventing contradictions and content drift across the entire document.
Flag gaps and conflicts in a PRD draft by inserting inline markers such as [NEEDS CLARIFICATION], [ASSUMPTION], and [CONFLICT] directly into the text. This surfaces necessary PM actions and highlights areas requiring further input or resolution.
Before drafting a PRD section, you need to provide state fields including section_index, section_qa_pairs, prd_sections, and context_doc. These inputs supply the Q&A data and prior context required to generate an accurate current draft.
The PRD drafting process handles unconfirmed answers by using only confirmed PM responses from the Q&A rounds. Unverified information is surfaced using inline flags like [ASSUMPTION] to ensure only validated data is synthesized into the draft.
Yes, the drafting tool supports traceability by outputting the current_draft and appending a draft entry to the chat_history field. This records the synthesis process and accumulated context, enabling accurate tracking for future PRD revisions.
wlee075Generate one focused question per round to elicit PRD decisions.
chaimtIdentify and resolve gaps in Product Decision Records for PRD generation.
cengo33Create and update product marketing context documents with target audience and competitive analysis.
amplitudeConvert unstructured notes into a structured product requirements document.