Decompose product requirements into a system map, story graph, and agent topology.
npx skills add https://github.com/memorysaver/project-understanding --skill aep-map
Please help me install this Agent Skill. Skill: aep-map Source: https://github.com/memorysaver/project-understanding/tree/main/.agents/skills/aep-map Command: npx skills add https://github.com/memorysaver/project-understanding --skill aep-map
This Skill helps product managers and system architects decompose complex product requirements into a structured system map, story graph, and agent topology, facilitating efficient product development.
Use the aep-map skill to generate a system map from the product context file 'product-context.yaml'.
High-intent search queries and answers about installing and using this skill.
Decomposing product requirements into a system map and story graph requires defining module boundaries, interface contracts, and execution slices. This skill automates that breakdown directly from your product context file.
Agent topology design defines agent roles, handoff contracts, and routing rules to enable automated execution. It structures how automated agents interact and route tasks based on the decomposed system map.
Yes, you can use YAML processing libraries like PyYAML to generate user stories from requirements. This skill relies on PyYAML, jsonschema, and pandas to process your product context and output story graphs.
Breaking down complex requirements into user stories with dependencies and layers involves specifying execution slices. This skill processes your product context to structure these dependencies and layers automatically.
Yes, this skill writes the decomposition outputs directly back into the product context file. It generates the system map, story graph, and agent topology, updating your existing context configuration.
The best way to define module boundaries and interface contracts for a new product is through system map generation. This skill automatically extracts these definitions from your provided product context.
aliyunGenerate customer-ready sales talking points and objection-handling FAQs for financial products.
ShubhamsabooAnalyze datasets using SQL and pandas for extraction and reporting.
windyskyEncode and decode data using TOON format for token-efficient transfer.
Vivekmano27Design system architectures with Mermaid diagrams and ADR documentation.
