Map The Landscape is an AI Engineering skill for Claude Code, published by tamdogood in builder-essential-skills.
Map The Landscape builds a mental model of a topic or repository by outlining its boundaries, layers, actors, relationships, flows, and open questions. Use it when you need the big picture, need orientation, or want to understand how the pieces fit together.
Map The Landscape is cataloged under AI Engineering on DirSkills. Map The Landscape comes from a repository tagged agent, ai, ai-agents, claude-code and claude-code-plugin.
Documentation
Build a useful mental model, not an exhaustive catalog. Reveal the structure that makes details make sense: what is inside the boundary, what sits outside it, which relationships matter, how value or data moves, why the landscape looks this way, and where uncertainty remains.
Infer these from the request and available context:
This is the opening of the README. Read the full README on GitHub.
Map The Landscape is one of 18 skills that DirSkills catalogs from tamdogood/builder-essential-skills, the repository it ships in. Its siblings there include Async Learning Teacher, Build Scenario Tests and Code Standards. Each one is a separate skill with its own page in this directory, installs the same way Map The Landscape does, and is maintained by tamdogood in that same repository. The rest of the collection is listed on the tamdogood/builder-essential-skills page.
Map The Landscape ranks #3036 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Map The Landscape against them. Open each page to compare what they document and how they install.
Map The Landscape is one of 18 skills cataloged on DirSkills from tamdogood/builder-essential-skills.
Map The Landscape is one of 3278 AI Engineering skills cataloged on DirSkills, ranked #3036 by stars among them.