Agent skill

GitHub Trending Wan Skill

by wwwzhouhui in wwwzhouhui/skills_collection

抓取 GitHub Trending 当前前 5 个开源项目,先把摘要字段翻译成中文,再生成低信息密度中文简报和 Wan 2.7 海报 prompt。支持 10 种视觉风格选择。Use when user asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending…

No licenceAuto-check passed

Install GitHub Trending Wan Skill

skills CLI
$ npx skills add wwwzhouhui/skills_collection --skill github-trending-wan-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wwwzhouhui/skills_collection github-trending-wan-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .claude/skills && cp -r skills-src/github-trending-wan-skill .claude/skills/github-trending-wan-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
github-trending-wan-skill
GitHub stars
283
Token cost
~1.7k tokens
SKILL.md length
415 words
Files
15 (incl. scripts)
Skills in repo
25
Repo updated
First seen
Licence
None found

At a glance

抓取 GitHub Trending 当前前 5 个开源项目,先把摘要字段翻译成中文,再生成低信息密度中文简报和 Wan 2.7 海报 prompt。支持 10 种视觉风格选择。Use when user asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending…

  • User asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending 榜单、开源信息图。Default workflow: 3 步引导式流程
  • SKILL.md covers 专家思维框架, NEVER, 🎨 10 种视觉风格速查表 and 📋 工作流程(3 步引导法), plus 4 more sections
  • Runs Python scripts from its folder; calls python3; needs DASHSCOPE_API_KEY

What it does

GitHub Trending Wan Skill is an agent skill from wwwzhouhui/skills_collection. 抓取 GitHub Trending 当前前 5 个开源项目,先把摘要字段翻译成中文,再生成低信息密度中文简报和 Wan 2.7 海报 prompt。支持 10 种视觉风格选择。Use when user asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending 榜单、开源信息图。Default workflow: 3 步引导式流程。

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `README.md`, `output/daily_brief.md` and `output/daily_top10.json`).

It works with GitHub. The repository describes itself as: 本项目是个人开发的 Claude Code Skills 集合,提供实用的技能工具,助力提升开发效率和内容创作。 分享一些好用的 Claude Code Skills,自用、学习两相宜,适用于 Claude Code v2.0 及以上版本。

When your agent uses it

  • User asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending 榜单、开源信息图。Default workflow: 3 步引导式流程

Example prompts

  • “/github-trending-wan-skill”

Requirements

  • Python 3
  • A credential in DASHSCOPE_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit b98f166. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 8 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DASHSCOPE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

GitHub Trending Wan Skill loads about 1.7k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 415 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 415 words (~1,722 tokens).

name
github-trending-wan-skill

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (scripts) in github-trending-wan-skill of wwwzhouhui/skills_collection.

  • SKILL.md
  • README.md
  • output/daily_brief.md
  • output/daily_top10.json
  • output/daily_top5_zh.json
  • output/github_trending_top5_today_wan_20260408.png
  • output/wan_prompt.txt
  • scripts/build_daily_poster_assets.py
  • scripts/check_wan_task_status.py
  • scripts/fetch_daily_top10.py
  • scripts/file_to_oss.py
  • scripts/image-generation-editing.py
  • scripts/parse_resolution.py
  • scripts/run_wan_generation.py
  • scripts/translate_daily_top.py

Open the folder on GitHubat commit b98f166

Compare with similar skills

GitHub Trending Wan Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

GitHub Trending Wan Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GitHub Trending Wan Skill this skillwwwzhouhui/skills_collection283—~1.7kAutomated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers297k3 repos~1.7kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about GitHub Trending Wan Skill

What does GitHub Trending Wan Skill do?

抓取 GitHub Trending 当前前 5 个开源项目,先把摘要字段翻译成中文,再生成低信息密度中文简报和 Wan 2.7 海报 prompt。支持 10 种视觉风格选择。Use when user asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending…. GitHub Trending Wan Skill is an agent skill from wwwzhouhui/skills_collection.

When should I use GitHub Trending Wan Skill?

GitHub Trending Wan Skill fits situations like: user asks for GitHub trending、Top 5、开源日报、中文热门项目海报、Wan 2.7 poster、今天有什么热门项目、热门开源、做个开源海报、trending 榜单、开源信息图。Default workflow: 3 步引导式流程.

How do I install GitHub Trending Wan Skill in Claude Code?

Run `npx skills add wwwzhouhui/skills_collection --skill github-trending-wan-skill -a claude-code`. Or copy the skill folder (github-trending-wan-skill in wwwzhouhui/skills_collection) into .claude/skills/github-trending-wan-skill in your project. Claude Code loads it when a task matches its description.

How do I install GitHub Trending Wan Skill in Codex?

Run `npx skills add wwwzhouhui/skills_collection --skill github-trending-wan-skill -a codex`. Or copy the skill folder (github-trending-wan-skill in wwwzhouhui/skills_collection) into .agents/skills/github-trending-wan-skill in your project. Codex loads it when a task matches its description.

Can I use GitHub Trending Wan Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wwwzhouhui/skills_collection --skill github-trending-wan-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-trending-wan-skill, .gemini/skills/github-trending-wan-skill, .github/skills/github-trending-wan-skill and .opencode/skills/github-trending-wan-skill in your project.

What does GitHub Trending Wan Skill need to run?

Going by SKILL.md and its folder, GitHub Trending Wan Skill needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY.

Does GitHub Trending Wan Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is GitHub Trending Wan Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does GitHub Trending Wan Skill use?

No licence was found for GitHub Trending Wan Skill or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does GitHub Trending Wan Skill use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to GitHub Trending Wan Skill?

Skills that share tags, products or a category with GitHub Trending Wan Skill: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 297k stars), Greploop (onyx-dot-app/onyx, 32k stars) and GitHub Deep Research (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GitHub Trending Wan Skill?

wwwzhouhui (a GitHub user) maintains it in wwwzhouhui/skills_collection, which has 283 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.

Source: wwwzhouhui/skills_collection on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.