Agent skill · Content & Marketing

trend-intel

Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill trend-intel --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: mcp__RivalSearchMCP__web_searchmcp__RivalSearchMCP__social_searchmcp__RivalSearchMCP__news_aggregationmcp__RivalSearchMCP__scientific_researchmcp__RivalSearchMCP__github_searchmcp__RivalSearchMCP__content_operationsmcp__RivalSearchMCP__map_websitemcp__RivalSearchMCP__document_analysisReadGrepGlobWebFetch
Path: skills/analysis/trend-intel/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Trend Intelligence Analyze trends and news for: **$ARGUMENTS** Follow these steps precisely using RivalSearchMCP tools. Report progress after each step. ## Step 1: Breaking News Scan Use `news_aggregation` twice to establish recency and trajectory: 1. query: "$ARGUMENTS", max_results: 15, time_range: "week" 2. query: "$ARGUMENTS", max_results: 15, time_range: "month" Compare weekly to monthly volume. Is coverage accelerating, steady, or declining? ## Step 2: Web Context Use `web_search` twice for broader context: 1. query: "$ARGUMENTS trends 2025 2026", num_results: 15, extract_content: true 2. query: "$ARGUMENTS emerging growth adoption", num_results: 10, extract_content: true Capture analysis from non-news sources (blogs, industry sites, company announcements). ## Step 3: Social Signal Measurement Use `social_search` twice to measure community momentum: 1. query: "$ARGUMENTS", platforms: ["reddit", "hackernews", "producthunt", "devto", "medium"], max_results_per_platform: 15, time_filter: "month" 2. query: "$ARGUMENTS", platforms: ["reddit", "hackernews"], max_results_per_platform: 15, time_filter: "year" Compare recent (month) vs historical (year) volume. Note sentiment shifts

What's inside
Steps it walks through
  1. Step 1: Breaking News Scan
  2. Step 2: Web Context
  3. Step 3: Social Signal Measurement
  4. Step 4: Developer Adoption Signals
  5. Step 5: Academic Foundation
  6. Step 6: Deep Dives
  7. Step 7: Compile Trend Report
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the trend-intel skill do?

Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill trend-intel --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.

Keep going