LearnPrompt/skillrush-town

"owner": {     "name": "LearnPrompt",     "url": "https://github.com/LearnPrompt"

"name": "LearnPrompt",     "url": "https://github.com/LearnPrompt"   },

"url": "https://github.com/LearnPrompt"

"author": {         "name": "LearnPrompt",         "url": "https://github.com/LearnPrompt"

"name": "LearnPrompt",         "url": "https://github.com/LearnPrompt"       },

"url": "https://github.com/LearnPrompt"

"source": "./",       "category": "productivity",       "homepage": "https://github.com/LearnPrompt/skillrush-town"

"category": "productivity",       "homepage": "https://github.com/LearnPrompt/skillrush-town"     }

"homepage": "https://github.com/LearnPrompt/skillrush-town"

#!/usr/bin/env python3

SOURCE_URL = "https://clawhub.ai/skills?sort=downloads&nonSuspicious=true"

API_URL = "https://wry-manatee-359.convex.cloud/api/query"

"numItems": 25, } DIAGNOSTIC_URL = "https://clawhub.ai/api/v1/skills?sort=downloads&nonSuspicious=true"

DIAGNOSTIC_URL = "https://clawhub.ai/api/v1/skills?sort=downloads&nonSuspicious=true"

def post_json(url: str, payload: dict[str, Any], timeout: int = 25) -> dict[str, Any]:     data = json.dumps(payload, ensure_ascii=False).encode("utf-8")     req = urllib.request.Request(url, data=data, method="POST", headers={"content-type

data = json.dumps(payload, ensure_ascii=False).encode("utf-8")     req = urllib.request.Request(url, data=data, method="POST", headers={"content-type": "application/json"})     with urllib.request.urlopen(req, timeout=timeout) as resp:

req = urllib.request.Request(url, data=data, method="POST", headers={"content-type": "application/json"})

with urllib.request.urlopen(req, timeout=timeout) as resp:

def get_json(url: str, timeout: int = 15) -> dict[str, Any]:     with urllib.request.urlopen(url, timeout=timeout) as resp:

with urllib.request.urlopen(url, timeout=timeout) as resp:

DEFAULT_PAGES_URL = "https://learnprompt.github.io/skillrush-town/"

[Credential-related source omitted]

[Credential-related source omitted]

lines = [line.strip() for line in cname.read_text(encoding="utf-8").splitlines() if line.strip()]         if lines:             return f"https://{lines[0]}/"

if lines:             return f"https://{lines[0]}/"     return DEFAULT_PAGES_URL

return f"https://{lines[0]}/"

shield_date = snapshot_date.replace("-", "--")     return (         "[![淘金小镇潜力榜](https://img.shields.io/badge/"

return (         "[![淘金小镇潜力榜](https://img.shields.io/badge/"         f"%E6%B7%98%E9%87%91%E5%B0%8F%E9%95%87%E6%BD%9C%E5%8A%9B%E6%A6%9C-{shield_date}-b4533a)]"

"[![淘金小镇潜力榜](https://img.shields.io/badge/"

1. 取数据：仓库内优先读 `data/latest.json`；不在仓库内时读    `https://learnprompt.github.io/skillrush-town/data/latest.json`。

`https://learnprompt.github.io/skillrush-town/data/latest.json`。

新进榜（有历史时 `prev_rank` 为 null 的条目）。 3. 给出"值得点开看"的 2-3 个，并说清理由（下载/星标增量、排名变化、summary 里的用途），    附上 `https://learnprompt.github.io/skillrush-town/?date=<snapshot_date>` 方便用户自己看。

3. 给出"值得点开看"的 2-3 个，并说清理由（下载/星标增量、排名变化、summary 里的用途），    附上 `https://learnprompt.github.io/skillrush-town/?date=<snapshot_date>` 方便用户自己看。 4. 诚实转述 `limitations` 与 `comparison_basis.note`：缺历史切片时不要把数字说成日环比。

附上 `https://learnprompt.github.io/skillrush-town/?date=<snapshot_date>` 方便用户自己看。

Every day, read https://learnprompt.github.io/skillrush-town/data/latest.json,

https://learnprompt.github.io/skillrush-town/?date=<snapshot_date>.

Open `http://127.0.0.1:8093/?date=2026-05-04` and verify the date selector,

- Claude Code changelog at `https://code.claude.com/docs/en/changelog`

- Artificial Analysis model leaderboard at `https://artificialanalysis.ai/leaderboards/models`

POST https://wry-manatee-359.convex.cloud/api/query

`GET https://clawhub.ai/api/v1/skills?sort=downloads&nonSuspicious=true` is