Agent skill

map-the-landscape

Map the big picture around a topic or software repository by identifying its boundaries, layers, actors, components, relationships, flows, history, fault lines, and open questions, then explain how the pieces fit together and where to look next. Use when a user asks to understand a whole field, domain, technology, ecosystem, industry, codebase, architecture, unfamiliar repo, or phrases such as "give me the big picture", "map the landscape", "how does this all fit together?", "help me get oriented", or "what am I missing?

tamdogoodgithub.com/tamdogoodGitHub ↗
claude-codecodexMIT
Install
npx skills add tamdogood/builder-essential-skills --skill map-the-landscape --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/map-the-landscape/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 90
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Map the Landscape 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. ## Set the Zoom Infer these from the request and available context: - **Subject:** the topic, field, ecosystem, or repository to map. - **Mode:** `topic`, `repository`, or `hybrid` when a repo must be placed in its wider ecosystem. - **Audience:** the user's current knowledge and intended use. - **Decision:** what the map should help the user understand or do next. - **Depth:** `snapshot`, `standard`, or `deep`. - **Time horizon:** current state by default; add history when it explains the present. Ask at most one clarifying question only when the subject or intended zoom is genuinely ambiguous. Otherwise state the chosen boundary and proceed. Use `standard` depth unless the user requests a quick overview or a deep study. ## Evidence Discipline Keep the map auditable without making it read like a research paper. - Label important statements as **Observed** when read directly from repository

What's inside
Steps it walks through
  1. Set the Zoom
  2. Evidence Discipline
  3. Workflow
  4. 1. Frame the Map
  5. 2. Gather the Minimum Evidence
  6. 3. Construct from the Center Out
  7. 4. Trace Flows and Time
  8. 5. Stress-Test the Picture
  9. 6. Explain the Landscape
  10. Depth Control
  11. Failure Handling
Ships with 3 files
  • README.md
  • agents/openai.yaml
  • references/map-lenses.md
More from builder-essential-skills
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About this skill
What does the map-the-landscape skill do?

Map the big picture around a topic or software repository by identifying its boundaries, layers, actors, components, relationships, flows, history, fault lines, and open questions, then explain how the pieces fit together and where to look next. Use when a user asks to understand a whole field, domain, technology, ecosystem, industry, codebase, architecture, unfamiliar repo, or phrases such as "give me the big picture", "map the landscape", "how does this all fit together?", "help me get oriented", or "what am I missing?

How do I install it?

Run `npx skills add tamdogood/builder-essential-skills --skill map-the-landscape --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From tamdogood/builder-essential-skills, a repository with 90 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going