Cocreator Content Research
/install cocreator-content-research
Content Research Skill
This skill provides agents with the ability to gather raw intelligence on social media performance (TikTok and Instagram) using the ScrapeCreators API. It does not generate content or interact with posting APIs.
Prerequisites
uvinstalledSCRAPE_CREATORS_API_KEYset in the environment
Capabilities
1. Broad Content Discovery (Keywords & Hashtags)
Use this to find top-performing content. Agent Instructions for Keyword Search:
- DO NOT use the same hardcoded keyword (like "affirmations") every time.
- ALWAYS brainstorm 3-5 diverse keywords based on the user's app (e.g., if it's an affirmation app, try searching "mindset shift", "daily routine", "self healing", "morning motivation").
- Use time frames (
--date-posted) to find recent trends, and test different sorting methods. - Use the
--formatfilter (video,slideshow, orboth) if the user specifically requests only one type of content. - CRITICAL: The script returns an
is_slideshowboolean and avideo_url. Use this to distinguish between video trends and slideshow trends.
uv run {baseDir}/scripts/keyword-search.py --platform tiktok --type keyword --query "morning routine" --date-posted this-month --sort-by most-liked --format slideshow
uv run {baseDir}/scripts/keyword-search.py --platform instagram --type keyword --query "morning routine" --format video
2. Competitor Hook Research
Use this to analyze specific competitor handles. Agent Instructions for Competitor Research:
- ALWAYS ask the user if they have specific competitors or creator profiles they want you to check before you assume.
- If they don't know, brainstorm potential top creators in their niche using the keyword search first, extract their handles, and then run competitor research on them.
uv run {baseDir}/scripts/competitor-research.py --platform tiktok --handles user1 user2 user3
uv run {baseDir}/scripts/competitor-research.py --platform instagram --handles user1 user2
3. Profile Lookup
Use this to get raw metric data (followers, following, bio) for a specific creator.
uv run {baseDir}/scripts/profile-lookup.py --platform tiktok --handle \x3Chandle>
uv run {baseDir}/scripts/profile-lookup.py --platform instagram --handle \x3Chandle>
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install cocreator-content-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/cocreator-content-research触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Cocreator Content Research 是什么?
Pure intelligence gathering for social media platforms (TikTok & Instagram). Use when an agent needs to discover trending hooks, analyze a competitor's strat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 497 次。
如何安装 Cocreator Content Research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install cocreator-content-research」即可一键安装,无需额外配置。
Cocreator Content Research 是免费的吗?
是的,Cocreator Content Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Cocreator Content Research 支持哪些平台?
Cocreator Content Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Cocreator Content Research?
由 Miracle Ayodele(@iammiracle)开发并维护,当前版本 v1.0.2。