Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
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…
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .claude/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trendType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .agents/skills/databrain-game-content-trend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .agents/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .cursor/skills/databrain-game-content-trend && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .cursor/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/infometa/workbuddyskills.git --path experts/tiderider-sentiment/skills/databrain-game-content-trend--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .gemini/skills/databrain-game-content-trend && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .gemini/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install infometa/workbuddyskills databrain-game-content-trendInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .github/skills/databrain-game-content-trend && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .github/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill databrain-game-content-trend -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills databrain-game-content-trend --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-game-content-trend .opencode/skills/databrain-game-content-trend && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "databrain-game-content-trend" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-game-content-trend into .opencode/skills/databrain-game-content-trend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-game-content-trend", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
databrain-game-content-trend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. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 91b77ea. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
databrain.mcp.it.woa.comdatabrain.woa.comdatabrain-global.intlgame.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DATABRAIN_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
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/personalAutomated 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 765 words (~3,264 tokens).
SKILL.md and 12 other files (scripts, references) in experts/tiderider-sentiment/skills/databrain-game-content-trend of infometa/workbuddyskills.
Open the folder on GitHubat commit 91b77ea
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Databrain Game Content Trend this skillinfometa/workbuddyskills | 348 | — | ~3.3k | Automated safety check: Notes | None | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT | |
| Postizgitroomhq/postiz-agent | 508 | 2 repos | ~7.9k | Automated safety check: Pass | AGPL-3.0 | |
| Google Maps ScraperMahanaicoach/google-maps-scraper-kit | 1.3k | — | ~2.8k | Automated safety check: Pass | MIT |
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Jesseovo/last30days-skill-cn
Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted…
gitroomhq/postiz-agent
Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest…
Mahanaicoach/google-maps-scraper-kit
Scrape Google Maps business listings (name, address, phone, website, rating, reviews, lat/lng, hours, emails) via the local gosom google-maps-scraper REST API.
kajisho5/ffmpeg-skill
Edit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles (SRT/ASS, animated, karaoke), logos and text…
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. 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…. Databrain Game Content Trend is an agent skill from infometa/workbuddyskills.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.