Generate a structured PRD from conversation and repository context.
npx skills add https://github.com/babually/bongo-template --skill to-prd-babually
Please help me install this Agent Skill. Skill: to-prd Source: https://github.com/babually/bongo-template/tree/main/.agents/skills/to-prd Command: npx skills add https://github.com/babually/bongo-template --skill to-prd-babually
This Skill turns the current conversation and repository context into a polished product requirements document, so you can move from idea to actionable planning without re-interviewing the user.
Ask the skill to draft a PRD from the current context and publish it to the project issue tracker.
High-intent search queries and answers about installing and using this skill.
Generating a product requirements document from existing conversation context involves synthesizing known information into a structured PRD with problem statements, user stories, and implementation decisions without re-interviewing the user. This Skill automatically transforms current context into a ready PRD.
A structured PRD for feature planning includes a problem statement, proposed solution, user stories, implementation decisions, testing decisions, scope definition, and notes. It aligns these elements with repository vocabulary and architecture constraints to ensure technical feasibility.
Yes, you can create user stories and implementation decisions without conducting user interviews by leveraging current conversation context and codebase understanding. This approach synthesizes existing repository vocabulary and architectural decisions directly into the PRD.
Publishing a synthesized PRD to an issue tracker with triage labels requires generating the document from context and applying appropriate triage labeling. This Skill produces the PRD and publishes it directly to the project issue tracker for review and tracking.
PRD synthesis works with existing codebase architecture and glossary by exploring the repository and incorporating the project's specific vocabulary and architectural constraints. This ensures the generated requirements align with the current technical foundation.
Limitations of automated PRD generation include the avoidance of user interviews, meaning the output relies entirely on existing conversation context and codebase understanding. It requires sufficient initial context to produce accurate scope definition and testing decisions.
arxxyrConvert conversation context and codebase understanding into a Product Requirements Document and publish it to the issue tracker.
kartikkabadiConvert conversation context and codebase understanding into a structured PRD.
dividedbyOrchestrate multi-module software design sessions with domain modeling and TDD-ready issue generation.
JohannesKoningsSynthesize active conversation context into structured technical specifications and project requirements.
