simplification-and-generalization SKILL.md skillA

simplification-and-generalization from yuiseki/map-from-scratch is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yuiseki/map-from-scratch/simplification-and-generalization@git:20261026.79a684e

Pins git:20261026.79a684e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yuiseki/map-from-scratch
Path
.agents/skills/simplification-and-generalization/SKILL.md
Versions recorded
1
Latest version
git:20261026.79a684e, committed Oct 26, 2026
Size
36,488 bytes
Repository stars
24
License
GPL-3.0

How 28 map engines reduce geometry for the scale it is drawn at (Douglas-Peucker, Visvalingam ranks, snap-to-grid, 1-pixel filters, shared-arc simplification, per-zoom levels, dropping small features) and what they measured and reverted. Load it before choosing a simplification tolerance or algorithm in bake.ts, when a request spans several zoom levels and you must decide between one bake, several baked levels or a per-vertex rank, when adjacent polygons (admin areas, choropleths, land cover)…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Simplification and generalisation: tolerance, topology and levels, decided at bake time

Source geometry carries far more vertices than a screen can show. Every
engine reduces it, and every engine had to answer the same questions:
where the reduction runs (data source, tiler, render loop, export), in
which coordinate space and with what tolerance, with which algorithm per
geometry type, how to keep neighbouring polygons watertight, how many
levels of detail to store, and which whole features to drop at a scale.
General engines mostly answer at run time, because they cannot know the
data or the zoom in advance, and their history is full of tolerances
that collapsed polygons, simplifiers that broke shared borders, and
caches that made things worse. A renderer here knows its data, its
projection and its zoom range at bake time [1], so the reduction runs
once in `bake.ts` and the renderer only selects what was baked. What
carries over from the engines is the evidence about tolerances,
topology, order of operations and the cost of extra levels.

Per-engine detail, with all numbers: [references/engines.md](references/engines.md).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yuiseki/map-from-scratch/simplification-and-generalization@sha256:8fbd8346eff0efb0

The line at the top of this page pins the label git:20261026.79a684e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_iinnsa23qehns6rg.svg)](https://markdownregistry.com/a/art_iinnsa23qehns6rg)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 26, 2026.

versioncommittedcommitsizeaudit
git:20261026.79a684e latest2026-10-26 79a684e 36,488 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (36488 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yuiseki/map-from-scratch · 24 stars · license GPL-3.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_iinnsa23qehns6rg
GET https://markdownregistry.com/api/v1/resolve?ref=yuiseki/map-from-scratch/simplification-and-generalization
GET https://markdownregistry.com/api/v1/blob/8fbd8346eff0efb03ffaff30977acf0a40945b00722803ad0b67589b2b3783b3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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