Map a focal point into a four-layer system dependency and risk map.
npx skills add https://github.com/AgentiveStack/skills --skill holistic
Please help me install this Agent Skill. Skill: holistic Source: https://github.com/AgentiveStack/skills/tree/main/holistic Command: npx skills add https://github.com/AgentiveStack/skills --skill holistic
Zooming out to understand how code, features, or plans fit into the bigger system, this skill helps surface bounded contexts, cross-cutting concerns, hidden dependencies, and systemic risks so you can anticipate the full impact of changes.
Follow a focal-point brief to generate a four-layer holistic map that informs risk assessment and integration planning.
High-intent search queries and answers about installing and using this skill.
To map cross-context impact, you construct a four-layer system map covering Domain Position, Data Flow, Cross-Context Impact, and Temporal View. This reveals hidden dependencies and systemic risks to show how a focal point interacts with the entire system.
Bounded context mapping identifies relevant domain documents, ownership, and contracts to reveal cross-cutting concerns. You need it when planning unfamiliar areas, new features, or changes that require cross-context understanding to anticipate full ripple effects.
Perform systemic risk analysis by mapping a focal point to the system to read domain docs and surface insights. It builds a temporal view and cross-context impact map to produce a concise, decision-ready output for risk assessment.
Yes, holistic system mapping works without external dependencies. It reads your existing domain docs and constructs a four-layer map to reveal dependencies and risks, requiring only a focal-point brief to generate the output.
The best way to visualize data flow and domain position is generating a four-layer holistic map. This multi-layer context mapping identifies ownership, contracts, and potential ripple effects to inform design and integration planning.
Understanding bounded contexts requires a temporal view because it reveals how a focal point interacts with the rest of the system over time. This surfaces hidden dependencies and cross-cutting concerns that static analysis might miss.
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