Agent skill

Databrain Game Content Trend

by infometa in infometa/workbuddyskills

游戏创意灵感引擎。融合 TikTok/YouTube 热门视频和行业热梗数据,为游戏运营/市场团队提供社媒内容制作灵感和端内资源跟进建议。当用户询问"今日热门"、"游戏内容灵感"、"素材方向"、"官号整活"、"趋势情报"、"热梗"、"热点借势"、"KOL…

No licenceAuto-check: notes

Install Databrain Game Content Trend

skills CLI
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .claude/skills/databrain-game-content-trend && 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
databrain-game-content-trend
GitHub stars
348
Token cost
~3.3k tokens
SKILL.md length
765 words
Files
13 (incl. scripts, references)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

游戏创意灵感引擎。融合 TikTok/YouTube 热门视频和行业热梗数据,为游戏运营/市场团队提供社媒内容制作灵感和端内资源跟进建议。当用户询问"今日热门"、"游戏内容灵感"、"素材方向"、"官号整活"、"趋势情报"、"热梗"、"热点借势"、"KOL…

  • Works in 5 steps: :数据获取 → :安全过滤 → :匹配与关联 → …
  • SKILL.md covers 快速开始, 输入参数识别, 环境变量 and 分析流水线, plus 7 more sections
  • Runs Python scripts from its folder; calls python; reaches databrain.mcp.it.woa.com and databrain.woa.com; needs DATABRAIN_TOKEN

What it does

Databrain Game Content Trend is an agent skill from infometa/workbuddyskills. 游戏创意灵感引擎。融合 TikTok/YouTube 热门视频和行业热梗数据,为游戏运营/市场团队提供社媒内容制作灵感和端内资源跟进建议。当用户询问"今日热门"、"游戏内容灵感"、"素材方向"、"官号整活"、"趋势情报"、"热梗"、"热点借势"、"KOL 合作方向"、"端内动作"、"做进游戏"时触发。也应在用户用模糊表达如"最近有什么好玩的"、"竞品在搞什么"、"帮我看看市场热点"、"有没有能跟的趋势"、"内容没灵感了"时触发,即使没有明确提到游戏名称或具体平台。报告语言严格跟随用户 prompt 语言(中文问→中文报告,英文问→英文报告,要求"中英两版"→切分双语),任何混排都视为缺陷。

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `games-config.json`, `references/brief-template.md` and `references/daily-push.md`).

It works with TikTok and YouTube. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

Example prompts

  • “游戏内容灵感”
  • “KOL 合作方向”
  • “时触发。也应在用户用模糊表达如”
  • “/databrain-game-content-trend”

Requirements

  • Python 3
  • A credential in DATABRAIN_TOKEN

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. :数据获取
  2. :安全过滤
  3. :匹配与关联
  4. :创意发散
  5. :排序与输出

What it can do on your machine

Read from SKILL.md and the folder at commit 91b77ea. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • databrain.mcp.it.woa.com
    • databrain.woa.com
    • databrain-global.intlgame.com

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

  • Credentials

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

    • DATABRAIN_TOKEN

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

Context cost

Databrain Game Content Trend loads about 3.3k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 765 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~19k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:77
    Token 由环境变量或已安装 plugin 根目录 `.env` 自动读取。若为空,引导用户前往 DataBrain 个人令牌中心(内网 `https://databrain.woa.com/v2/user-center/personal

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 765 words (~3,264 tokens).

name
databrain-game-content-trend

Read the full SKILL.md on GitHub

Files

SKILL.md and 12 other files (scripts, references) in experts/tiderider-sentiment/skills/databrain-game-content-trend of infometa/workbuddyskills.

  • SKILL.md
  • .env.example
  • .gitignore
  • games-config.json
  • references/brief-template.md
  • references/daily-push.md
  • references/data-sources.md
  • references/language-policy.md
  • references/role-scenarios.md
  • references/safety-filter.md
  • requirements.txt
  • scripts/query_trending.py
  • scripts/report_log.py

Open the folder on GitHubat commit 91b77ea

Compare with similar skills

Databrain Game Content Trend 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.

Databrain Game Content Trend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Databrain Game Content Trend this skillinfometa/workbuddyskills348—~3.3kAutomated safety check: NotesNone
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Last30days CnJesseovo/last30days-skill-cn1.9k—~2.4kAutomated safety check: NotesMIT
Postizgitroomhq/postiz-agent5082 repos~7.9kAutomated safety check: PassAGPL-3.0
Google Maps ScraperMahanaicoach/google-maps-scraper-kit1.3k—~2.8kAutomated safety check: PassMIT

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Works with

Questions about Databrain Game Content Trend

What does Databrain Game Content Trend do?

游戏创意灵感引擎。融合 TikTok/YouTube 热门视频和行业热梗数据,为游戏运营/市场团队提供社媒内容制作灵感和端内资源跟进建议。当用户询问"今日热门"、"游戏内容灵感"、"素材方向"、"官号整活"、"趋势情报"、"热梗"、"热点借势"、"KOL…. Databrain Game Content Trend is an agent skill from infometa/workbuddyskills.

How do I install Databrain Game Content Trend in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a claude-code`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-game-content-trend in infometa/workbuddyskills) into .claude/skills/databrain-game-content-trend in your project. Claude Code loads it when a task matches its description.

How do I install Databrain Game Content Trend in Codex?

Run `npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a codex`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-game-content-trend in infometa/workbuddyskills) into .agents/skills/databrain-game-content-trend in your project. Codex loads it when a task matches its description.

Can I use Databrain Game Content Trend 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 infometa/workbuddyskills --skill databrain-game-content-trend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databrain-game-content-trend, .gemini/skills/databrain-game-content-trend, .github/skills/databrain-game-content-trend and .opencode/skills/databrain-game-content-trend in your project.

What does Databrain Game Content Trend need to run?

Going by SKILL.md and its folder, Databrain Game Content Trend needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named DATABRAIN_TOKEN. Our summary lists: Python 3; A credential in DATABRAIN_TOKEN.

Does Databrain Game Content Trend access the network?

SKILL.md names 3 domains. In commands or code: databrain.mcp.it.woa.com, databrain.woa.com and databrain-global.intlgame.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Databrain Game Content Trend safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Databrain Game Content Trend use?

No licence was found for Databrain Game Content Trend or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Databrain Game Content Trend use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.

What are the alternatives to Databrain Game Content Trend?

Skills that share tags, products or a category with Databrain Game Content Trend: Last30days (mvanhorn/last30days-skill, 64k stars), Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars), Last30days Cn (Jesseovo/last30days-skill-cn, 1.9k stars) and Postiz (gitroomhq/postiz-agent, 508 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Databrain Game Content Trend?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.

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