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by alchaincyf
花叔开源的全球鸟类贴纸库 · Stickers for all 11,064 living bird species, with names in 43 languages and structured data
# Add to your Claude Code skills
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huashu-bird-sticker is an open-source data processing skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by alchaincyf. 花叔开源的全球鸟类贴纸库 · Stickers for all 11,064 living bird species, with names in 43 languages and structured data. It has 205 GitHub stars.
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Clone the repository with "git clone https://github.com/alchaincyf/huashu-bird-sticker" and add it to your Claude Code skills directory (see the Installation section above).
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花叔开源的全球鸟类贴纸库：全世界现存的11064种鸟，每种一张白边贴纸，附43种语言的鸟名和分布、形态、保护等级数据。贴纸出自花叔做的观鸟App「鸣迹」。中文说明 →
English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Español · Français · Deutsch · Português · Русский · العربية
By Huashu (花叔), from the bird-watching app Mingji (鸣迹). 11,064 bird species, one sticker each, across 44 orders and 250 families: every living species in the IOC World Bird List v15.2 (the 163 extinct species are not included). Each species comes with structured data: taxonomy, names in up to 43 languages, cross-database IDs, and where every sticker came from.
The stickers are free to use for almost anything, including commercial work, under PolyForm Shield 1.0.0: the one thing you may not do is use them in a product that competes with our bird app (another birding, bird-ID or field-guide app or site). The data is MIT. Please read NOTICE for the parts that come from third parties, and About the reference photos below.
Eighteen of the most colourful and distinctive groups, 24 stickers each, picked so that no two look alike. Every sticker shown here meets the quality bar.
stickers/<Order>/<Family>/<Genus_species>.webp |
11,064 transparent stickers with a white outline, about 1,000 px on the long side |
data/species.json |
One record per species, the complete dataset: taxonomy, names, IDs, range and subspecies, body measurements and ecology, conservation status, sticker and its source. Field reference: data/README.md |
data/species.csv |
The same, flattened for spreadsheets |
data/names.csv |
Names in 43 languages (46 columns: Chinese, French and Portuguese each have two variants) |
data/languages.json |
Language codes and the IOC column each one comes from |
data/field-guide.zh-Hans.json |
Chinese field-guide notes (look, field marks, sexes and ages, similar species) for 1,596 species, CC BY-SA 4.0 |
A record looks like this (names shortened):
{
"id": "Accipiter_nisus",
"scientificName": "Accipiter nisus",
"authority": "(Linnaeus, 1758)",
"taxonomy": {"system": "IOC 15.2", "seq": 2872, "order": "Accipitriformes", "family": "Accipitridae", "genus": "Accipiter"},
"names": {"en": "Eurasian Sparrowhawk", "zh-Hans": "雀鹰", "ja": "ハイタカ", "es": "Gavilán común", "fr": "Épervier d'Europe", "…": "…"},
"ids": {"wikidata": "Q25380", "ebird": "eurspa1", "gbif": "2480637", "inaturalist": 5106},
"range": {"breedingRegion": "PAL", "breeding": "widespread", "nonbreeding": "OR, ne AF"},
"subspecies": [{"name": "nisus", "range": "Europe to sw Siberia and c Asia"}, "…"],
"traits": {"massG": 220.8, "wingMm": 207.4, "tailMm": 155.5, "habitat": "Forest", "migration": "partially migratory", "trophicNiche": "Vertivore", "…": "…"},
"conservation": {"iucn": "LC", "cites": "II"},
"sticker": {
"file": "stickers/Accipitriformes/Accipitridae/Accipiter_nisus.webp",
"kind": "ai-illustration",
"reviewScore": 91,
"meetsQualityBar": true,
"license": "PolyForm-Shield-1.0.0",
"reference": {"type": "photo", "page": "https://commons.wikimedia.org/wiki/File:…", "author": "Dion Art", "license": "CC BY-SA 4.0"}
}
}
data/names.csv.11,030 stickers are AI illustrations. For each species we found a reference photo (or, for 453 species where no single photo was good enough, a board of several images plus a written description), drew the sticker with GPT-image, upscaled it, and cut it out. 34 are cut out from real photographs and passed a blind review against the original photo.
Every AI sticker was then scored by a separate reviewer against the reference for field marks: bill, eye, legs and feet, plumage pattern and colour. In the last round, 852 borderline stickers (80–82) also got a second, blind review, and 211 of them failed it and were redrawn. Borderline stickers from earlier rounds did not get this second review.
"meetsQualityBar": true): AI stickers scoring 80 or above, plus the 34 photo cutouts.These are illustrations, not field-guide plates. Treat them as a friendly picture of the bird, and check a field guide before relying on a fine detail. If you spot a mistake, please open an issue — corrections from birders are the most valuable contribution this project can get.
Each sticker's reference is listed in sticker.reference, with its page, author and license. They break down like this (AI stickers, by species):
| Reference | Species |
|---|---|
| Openly licensed photo (CC0, public domain, CC BY, CC BY-SA) | 1,986 |
| Board of openly licensed images, or a written description only | 46 |
| Photo under a non-commercial or no-derivatives license (CC BY-NC, -ND, …) | 5,071 |
| Photo with all rights reserved, or under Macaulay Library terms | 1,500 |
| Photo whose license we did not record | 2,017 |
| Board mixing images under different terms | 410 |
The stickers are new drawings, not copies, and the reference photos are not distributed here. Whether a drawing made from a photo is bound by that photo's license is not settled law. If it matters for what you are doing, filter on sticker.reference.license.
Raw files can be loaded directly:
https://raw.githubusercontent.com/alchaincyf/huashu-bird-sticker/main/stickers/Accipitriformes/Accipitridae/Accipiter_nisus.webp
import json
species = json.load(open("data/species.json"))["species"]
by_name = {s["scientificName"]: s for s in species}
print(by_name["Pica pica"]["names"]["ja"], by_name["Pica pica"]["sticker"]["file"])
The repository is about 700 MB. To fetch only the data and a few stickers:
git clone --filter=blob:none --sparse https://github.com/alchaincyf/huashu-bird-sticker
cd huashu-bird-sticker && git sparse-checkout set data stickers/Strigiformes
data/species.json. Reference photos are not included in this repository.If a sticker is based on your photo an