Multi-platform trend discovery and tracking across Google Trends, Instagram, Facebook, YouTube, and TikTok.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add apify/agent-skills --skill apify-trend-analysisCompatible with
Supported agents
Supports 19 specialized Apify Actors covering search trends, hashtag tracking, engagement metrics, and viral content discovery across five major platforms
Dynamically fetches Actor schemas using mcpc CLI to retrieve input parameters and output fields before execution
Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapify-trend-analysisExecute the skills CLI command in your project's root directory to begin installation:
epx add apify/agent-skills --skill apify-trend-analysisFetches apify-trend-analysis from apify/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/apify-trend-analysis
Restart Cursor to activate apify-trend-analysis. Access via /apify-trend-analysisin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
root-cause-analysis
aj-geddes/useful-ai-prompts · Productivity · tag: analysis
fastapi-python
mindrally/skills · Backend · same category
java-coding-standards
affaan-m/everything-claude-code · Backend · same category
google-image-search
glebis/claude-skills · Backend · same category
python-backend-architecture-review
rknall/claude-skills · Backend · same category
google-flights
skillhq/flight-search · Backend · same category
I recommend apify-trend-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: apify-trend-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: apify-trend-analysis is focused, and the summary matches what you get after install.
We added apify-trend-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
apify-trend-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
apify-trend-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: apify-trend-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
apify-trend-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: apify-trend-analysis is focused, and the summary matches what you get after install.
We added apify-trend-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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