analyze-trends-historical
Analyze trends over time by comparing current entity mentions against historical data from memory. Identifies topics gaining or losing popularity, emerging themes, and provides trend velocity and trajectory analysis for weekly trend reports. '
npx skills add majiayu000/claude-skill-registry --skill analyze-trends-historical --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Analyze Trends Historical Compare current news coverage against historical data to identify trend trajectories and produce trend analysis reports. ## When to Use - Weekly trend report generation - Identifying emerging vs declining topics - Understanding shift in AI news landscape - Keywords: trends, historical, velocity, emerging, declining, analysis ## Prerequisites - Memory MCP server available with historical article data - Current period articles have been processed with entities extracted - At least 7 days of historical data for meaningful comparison ## Input Schema ```json { "current_period_articles": [ { "url": "...", "title": "...", "entities": ["GPT-4", "OpenAI", "reasoning"], "importance_score": 8, "published_at": "2026-01-26" } ], "lookback_days": 14, "min_mentions": 3 } ``` ## Actions ### Step 1: Extract Current Period Entities From current articles: 1. Collect all entities mentioned 2. Count mentions per entity 3. Calculate average importance when mentioned 4. Note which sources covered each entity ### Step 2: Query Historical Data from Memory Query memory for articles from lookback period: ``` Query: All articles from last {lookback_days} days Filter: learning_type
- When to Use
- Prerequisites
- Input Schema
- Actions
- Step 1: Extract Current Period Entities
- Step 2: Query Historical Data from Memory
- Step 3: Build Historical Entity Profile
- Step 4: Calculate Trend Velocity
- Step 5: Identify Emerging Topics
- Step 6: Identify Declining Topics
- Step 7: Calculate Topic Clusters
- Step 8: Generate Trend Summary
- Step 9: Rank and Prioritize
- Output Schema
What does the analyze-trends-historical skill do?
Analyze trends over time by comparing current entity mentions against historical data from memory. Identifies topics gaining or losing popularity, emerging themes, and provides trend velocity and trajectory analysis for weekly trend reports. '
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill analyze-trends-historical --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.