Competitors
coreyhaines31/marketingskills
When the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use.
游戏竞品活动报告生成工具。当用户需要对某款游戏生成官媒发帖内容和官方活动报告时使用，依次执行数据获取、活动聚合、联网搜索、总结分析四个主要工作模块，最终保存并展示指定格式的竞品报告。触发示例："帮我做一份 XXX 的竞品活动分析"、"生成 XXX 游戏官帖分析报告"、"最近 XXX 有什么官方活动？"。
No licenceAuto-check: notes
Install Databrain Competitor Events
$ npx skills add infometa/workbuddyskills --skill databrain-competitor-events -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills databrain-competitor-events --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-competitor-events .claude/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .claude/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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-competitor-eventsType 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-competitor-events -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills databrain-competitor-events --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-competitor-events .agents/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .agents/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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-competitor-events -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills databrain-competitor-events --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-competitor-events .cursor/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .cursor/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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-competitor-events--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-competitor-events -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills databrain-competitor-events --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-competitor-events .gemini/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .gemini/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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-competitor-eventsInstalls 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-competitor-events -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-competitor-events .github/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .github/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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-competitor-events -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-competitor-events --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-competitor-events .opencode/skills/databrain-competitor-events && 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-competitor-events" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-competitor-events into .opencode/skills/databrain-competitor-events/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-competitor-events", 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.
Facts
- Skill name
databrain-competitor-events- GitHub stars
- 346
- Token cost
- ~3.8k tokens
- SKILL.md length
- 460 words
- Files
- 21 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
游戏竞品活动报告生成工具。当用户需要对某款游戏生成官媒发帖内容和官方活动报告时使用，依次执行数据获取、活动聚合、联网搜索、总结分析四个主要工作模块，最终保存并展示指定格式的竞品报告。触发示例："帮我做一份 XXX 的竞品活动分析"、"生成 XXX 游戏官帖分析报告"、"最近 XXX 有什么官方活动？"。
- Works in 4 steps: 禁止跳过步骤：严禁以"时间限制"、"复杂度"、"效率"、"任务量大"为由跳过任何步… → 禁止生成精简版：严禁擅自删减报告内容、合并活动、或以"内容过长"为由截断输出。报告… → 合法的失败处理：若某个单条目因客观原因（网络错误、数据缺失）失败，记录失败原因后可… → …
- SKILL.md covers 前置检查, ⛔ 执行纪律（全局约束，优先级最高）, 输入参数 and 文件名约定, plus 7 more sections
- Runs Python scripts from its folder; calls python; needs DATABRAIN_TOKEN
What it does
Databrain Competitor Events is an agent skill from infometa/workbuddyskills. 游戏竞品活动报告生成工具。当用户需要对某款游戏生成官媒发帖内容和官方活动报告时使用，依次执行数据获取、活动聚合、联网搜索、总结分析四个主要工作模块，最终保存并展示指定格式的竞品报告。触发示例："帮我做一份 XXX 的竞品活动分析"、"生成 XXX 游戏官帖分析报告"、"最近 XXX 有什么官方活动？"。
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts and reference files (for example `scripts/extract_merged_clusters.py`, `scripts/game_search.py` and `scripts/get_competitor_list.py`).
The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
Example prompts
- “帮我做一份 XXX 的竞品活动分析”
- “生成 XXX 游戏官帖分析报告”
- “最近 XXX 有什么官方活动？”
- “/databrain-competitor-events”
Requirements
- Python 3
- A credential in DATABRAIN_TOKEN
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 禁止跳过步骤：严禁以"时间限制"、"复杂度"、"效率"、"任务量大"为由跳过任何步骤。每个步骤都是必须执行的环节。
- 禁止生成精简版：严禁擅自删减报告内容、合并活动、或以"内容过长"为由截断输出。报告必须原封不动地包含所有活动的完整分析。
- 合法的失败处理：若某个单条目因客观原因（网络错误、数据缺失）失败，记录失败原因后可跳过该条目，但不得整体跳过所在步骤。
- 禁止擅自做 tradeoff：遇到执行困难时，不得自行判断"这样更合理"并改变执行路径。应按流程继续，或明确告知用户遇到的问题。
What it can do on your machine
Read from SKILL.md and the folder at commit 692b3eb. 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 9 files in scripts/ (Python, from the files we listed), 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
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:
DATABRAIN_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Databrain Competitor Events loads about 3.8k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 460 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:14
**在解析任何参数之前，先读取已安装 plugin 根目录 `.env`；若不存在，再读取当前 Skill 目录下的 `.env`。** - NoteMentions a .env fileSKILL.md:31
`.env` 读取完成后，记录 `PLATFORM` 的值。**BRANCH 变量不在此处解析**，将在后续每个需要做分支判断的决策点现场重新解析，以确保执行时准确生效。 - NoteMentions a .env fileSKILL.md:405
> 回顾 `.env` 中读取到的 `PLATFORM` 值，按下表重新推导 BRANCH，并在心中明确声明：**当前 BRANCH = {A/B/C}**，后续仅执行对应分支，跳过其余。 - NoteMentions a .env fileSKILL.md:470
> 回顾 `.env` 中读取到的 `PLATFORM` 值，按下表重新推导 BRANCH，并在心中明确声明：**当前 BRANCH = {A/B/C}**，后续仅执行对应分支，跳过其余。
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 460 words (~3,751 tokens).
“你是竞品游戏活动分析报告的总协调者。解析参数后，为每个游戏并发启动子 Agent 执行 Step 1–4（数据采集、活动聚合、联网搜索、总结分析与报告生成），所有子 Agent 完成后，串行拼接各游戏报告段落，写入文件并展示报告。注意：后续的Utility工作还包括 [Utility 任务一] 报告的存储与展示 以及 [Utility 任务二] 自动化例行任务引导。两项任务均必须执行，不可跳过。”
- name
- databrain-competitor-events
- disable
- false
Files
SKILL.md and 20 other files (scripts, references) in experts/tiderider-sentiment/skills/databrain-competitor-events of infometa/workbuddyskills.
- SKILL.md
- .env.example
- references/country_language_code_mapping.csv
- requirements.txt
- scripts/extract_merged_clusters.py
- scripts/game_search.py
- scripts/get_competitor_list.py
- scripts/merge_online_search.py
- scripts/opinion_query.py
- scripts/preprocess_and_preview.py
- scripts/preview_posts.py
- scripts/report_log.py
- scripts/save_online_search.py
- submodules/daily_push.md
- submodules/event_aggregation.md
- submodules/first_time_setup.md
- submodules/get_competitor_list.md
- submodules/input_logging.md
- … and 3 more
Open the folder on GitHubat commit 692b3eb
Compare with similar skills
Databrain Competitor Events 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 Competitor Events this skillinfometa/workbuddyskills | 346 | — | ~3.8k | Automated safety check: Notes | None | |
| Competitorscoreyhaines31/marketingskills | 54k | — | ~3k | Automated safety check: Pass | MIT | |
| Eventscoreyhaines31/marketingskills | 54k | — | ~3k | Automated safety check: Pass | MIT | |
| Competitor Analysissickn33/agentic-awesome-skills | 47k | 1 repos | ~7.9k | Automated safety check: Notes | MIT | |
| Competitor Trackingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Competitor Analysisphuryn/pm-skills | 27k | — | ~1.2k | Automated safety check: Pass | MIT |
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Analyze competitors with strengths, weaknesses, and differentiation opportunities.
Competitor Alternatives
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When the user wants to create competitor comparison or alternative pages for SEO and sales enablement.
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Questions about Databrain Competitor Events
What does Databrain Competitor Events do?
游戏竞品活动报告生成工具。当用户需要对某款游戏生成官媒发帖内容和官方活动报告时使用，依次执行数据获取、活动聚合、联网搜索、总结分析四个主要工作模块，最终保存并展示指定格式的竞品报告。触发示例："帮我做一份 XXX 的竞品活动分析"、"生成 XXX 游戏官帖分析报告"、"最近 XXX 有什么官方活动？"。. Databrain Competitor Events is an agent skill from infometa/workbuddyskills.
How do I install Databrain Competitor Events in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill databrain-competitor-events -a claude-code`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-competitor-events in infometa/workbuddyskills) into .claude/skills/databrain-competitor-events in your project. Claude Code loads it when a task matches its description.
How do I install Databrain Competitor Events in Codex?
Run `npx skills add infometa/workbuddyskills --skill databrain-competitor-events -a codex`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-competitor-events in infometa/workbuddyskills) into .agents/skills/databrain-competitor-events in your project. Codex loads it when a task matches its description.
Can I use Databrain Competitor Events 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-competitor-events -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-competitor-events, .gemini/skills/databrain-competitor-events, .github/skills/databrain-competitor-events and .opencode/skills/databrain-competitor-events in your project.
What does Databrain Competitor Events need to run?
Going by SKILL.md and its folder, Databrain Competitor Events 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 Competitor Events 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 Databrain Competitor Events 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 Competitor Events use?
No licence was found for Databrain Competitor Events or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Databrain Competitor Events use?
About 3.8k tokens (SKILL.md is roughly 15k 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 2.8k tokens, read only when the agent opens those files.
What are the alternatives to Databrain Competitor Events?
Skills that share tags, products or a category with Databrain Competitor Events: Competitors (coreyhaines31/marketingskills, 54k stars), Events (coreyhaines31/marketingskills, 54k stars), Competitor Analysis (sickn33/agentic-awesome-skills, 47k stars) and Competitor Tracking (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databrain Competitor Events?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 346 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 8, 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.