historical illustrated atlas builder
Builds research-grounded historical maps and AI image prompts with verified source tagging and geographic coherence.
$5
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentshistorical illustrated atlas builder
Example session with this skill installed
Create a historical atlas page for the Isle of Thanet in 850 AD during the Viking incursions. Include Mode B prompt for Midjourney.
- Read your context and instructions
- Compiled the historical illustrated atlas
I have reconstructed the Isle of Thanet as it appeared in 850 AD, focusing on the Wantsum Channel's width and the early Viking encampments.
Feature Register
| Key | Name | Tier | Type | Source |
|---|---|---|---|---|
| GEO-01 | Wantsum Channel | 1 | Waterway | [D] |
| SET-01 | Minster-in-Thanet | 1 | Abbey | [D] |
| SET-02 | Ebbsfleet | 1 | Port/Landing | [D] |
| EVT-01 | Viking Winter Camp (851) | 2 | Military | [D] |
| ECO-01 | Sarre Marshes | 2 | Wetland | [E] |
| RTE-01 | Roman Road to Richborough | 2 | Infrastructure | [D] |
Cartographic Annotations
- The Wantsum Gateway [D]: A two-mile wide navigable strait separating Thanet from the Kent mainland.
- Monastic Lands [E]: Extrapolated boundary of the Abbey’s agricultural influence based on later charters.
- Viking Longships [F]: Traditional sighting locations at the mouth of the Stour.
Midjourney Production Prompt (Mode B)
A high-detail 9th-century historical map of the Isle of Thanet, Kent, 850 AD. Style of a Carolingian manuscript map with modern topographic precision. The Wantsum Channel is shown as a broad, blue navigable waterway separating the island from the mainland. Key landmarks: the stone Abbey of Minster-in-Thanet, the Roman ruins at Richborough, and Viking longships anchored at Ebbsfleet. Earthy palette of vellum, indigo, and forest green. Hand-drawn ink aesthetics, fine hatching for elevation, Latin calligraphy labels. Features include salt marshes, dense oak forests, and Roman flint roads. 8k resolution, isometric perspective, centered composition, historical cartography, high information density. --ar 3:4 --v 6.0
Research Log
- Key Sources: ASC (Parker MS), Hasted's History of Kent (1797), British Geological Survey (Holocene).
- Confidence Rating: Geography: High | Boundaries: Medium | Settlements: High | Events: High | Ecology: Medium.
Biggest Uncertainty: The exact rate of siltation in the Sarre segment of the Wantsum Channel during the mid-9th century.
Next steps
- Adjust the Visual Tier settings if you need to see more minor inland hamlets.
- Use the prompt in Midjourney v6 for a period-accurate vellum aesthetic.
- Request a Mode A description for a 19th-century survey style instead.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Building historically accurate maps for world-building, education, or game design is time-consuming. Most AI tools hallucinate geography or mix eras, failing to distinguish between archaeological evidence and regional folklore.
What it does
- Reconstructs accurate coastlines, terrain, and ecology using GIS data and historical gazetteers for a specific year or dynasty.
- Classifies every settlement and event with source tags: Documented [D], Folklore [F], Extrapolation [E], or Unknown [U].
- Manages visual hierarchy across three density tiers to prevent information overload on the final layout.
- Generates detailed art direction or high-precision prompts for AI image generators while preserving X/Y relational truth.
- Creates a structured Feature Register of up to 200 landmarks, routes, and political boundaries.
Why this beats prompting it yourself
A standard LLM prompt often yields a generic "fantasy map" aesthetic with misplaced cities. This skill enforces a rigorous research phase and source classification system, ensuring your map is a grounded historical chronicle rather than just a pretty picture.
Use cases
- Generating production-ready prompts for period-accurate game world maps.
- Creating illustrated atlas pages for historical non-fiction or educational resources.
- Reconstructing lost landscapes, such as Roman Britain or the Silk Road, for tabletop campaigns.
- Visualizing disputed territories and shifting borders across specific centuries.
Known limitations
Requires the user to specify a location and time period. Visual output is provided as a detailed text description or image generator prompt, not a rendered image file.
Requires a specific location and era. Output is limited to text-based cartographic descriptions and image generation prompts, not direct image rendering or GIS file exports.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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