Automate end-to-end PRD writing for AI products with modular generation.
npx skills add https://github.com/chusimin/AIPM-Skills --skill ai-agent-prd-writer
Please help me install this Agent Skill. Skill: ai-agent-prd-writer Source: https://github.com/chusimin/AIPM-Skills/tree/main/ai-agent-prd-writer Command: npx skills add https://github.com/chusimin/AIPM-Skills --skill ai-agent-prd-writer
AI product PRD creation is a complex, cross-functional task that often stalls teams due to misalignment and missing documentation. This Skill automates the end-to-end PRD workflow for AI products, consolidating context, user personas, goals, feature planning, flow design, data needs, and non-functional requirements into a cohesive, actionable document.
Trigger the PRD writer by describing your product concept and target users, then provide any known constraints.
High-intent search queries and answers about installing and using this skill.
Writing a PRD for an AI agent product involves defining user personas, feature planning, workflows, and data needs. This Skill automates that end-to-end process, applying agent and prompt design scaffolds to generate structured, verifiable documentation.
Yes, you can generate modular PRD content with incremental saves and versioning. This ensures clear handoffs and structured document management for tool-type, agent-type, and conversation-type AI products.
Structuring data needs and non-functional requirements for AI products requires data-driven inputs. This Skill consolidates these elements into a cohesive document, ensuring all cross-functional constraints and metrics are verifiable.
Yes, this PRD writer supports prompt design by providing scaffolds and global context management. This facilitates multi-agent collaboration and ensures alignment across complex AI product workflows.
To start automating PRD generation, trigger the writer by describing your product concept, target users, and known constraints. It then produces background, rationale, and objectives using structured data-driven inputs.
End-to-end PRD automation supports tool-type, agent-type, and conversation-type AI products. It handles background context, user portraits, feature planning, and flow design to resolve cross-functional misalignment.
cwinvestmentsGenerate structured PRDs with problem statements, personas, MoSCoW prioritization, and success metrics.
mia-cxInterview stakeholders, survey codebases, and map requirements to modules for GitHub issues.
faisalanjumCreate multi-agent teams with interdependent tasks and spawn teammates for automated testing.
pelchersExtract functional and non-functional requirements from product specifications and stakeholder input.
