content-trend-researcher

content-trend-researcher is a skill for Claude Code from nicepkg/ai-workflow. It costs 53 tokens per session (1,813 once invoked), scanned A, a copy of content-trend-researcher, MIT.

A research tool that examines what people are searching for and discussing across websites such as Google, Reddit, LinkedIn, podcasts, and YouTube.

In plain words
What is it for?
Use it to find growing topics, understand what readers want, identify content gaps, and create article outlines based on those findings.
Why use it?
It helps replace guesswork about article topics with evidence about trends, audience interests, and missing coverage.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

Good fit Use it to find growing topics, understand what readers want, identify content gaps, and create article outlines based on those findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nicepkg/ai-workflow/content-trend-researcher
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nicepkg/ai-workflow --skill content-trend-researcher
Clone the repo
git clone --depth 1 https://github.com/nicepkg/ai-workflow

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-trend-researcher

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicepkg/ai-workflow/content-trend-researcher.svg)](https://agentmods.dev/skills/nicepkg/ai-workflow/content-trend-researcher)
Your own site
<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/content-trend-researcher"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/content-trend-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,813 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.01813
Opus 5 $0.00026 $0.00907
Sonnet 5 $0.00011 $0.00363
Haiku 4.5 $0.00005 $0.00181

Measured 8d ago against content hash e849946b1429, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

content-trend-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (intent_analyzer.py, outline_generator.py, platform_insights.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to content-trend-researcher — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

workflows/content-creator-workflow/.claude/skills/content-trend-researcher/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Trend Researcher

A comprehensive content research and analysis skill designed for content creators, marketers, and publishers who need to create high-performing content based on real-world trends and user intent signals.

What This Skill Does

This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:

  1. Identify trending topics - Find what's gaining traction across platforms
  2. Understand user intent - Analyze search patterns and engagement signals
  3. Discover content gaps - Find underserved topics with high demand
  4. Generate outlines - Create data-driven article structures optimized for engagement
  5. Platform-specific insights - Understand where different content types perform best

Capabilities

Multi-Platform Trend Analysis

  • Google Trends - Search volume trends, rising queries, regional interest
  • Google Analytics - Traffic patterns, user behavior, conversion signals
  • Substack - Newsletter trends, subscriber growth patterns
  • Medium - Article performance, tags, claps, reading time
  • Reddit - Subreddit activity, upvotes, comment engagement, trending discussions
  • LinkedIn - Professional content trends, engagement metrics
  • X (Twitter) - Viral topics, hashtag performance, thread engagement
  • Blogs - Top-ranking blog posts, backlink profiles
  • Podcasts - Episode popularity, download trends, ratings
  • YouTube - Video performance, view trends, watch time, engagement

User Intent Analysis

  • Informational intent - "How to", "What is", "Guide to"
  • Commercial intent - "Best", "Review", "Comparison", "vs"
  • Transactional intent - "Buy", "Pricing", "Discount"
  • Navigational intent - Brand searches, specific resource lookups
  • Problem-solving intent - "Fix", "Troubleshoot", "Solution"

Content Strategy Intelligence

  • Optimal content formats per platform
  • Best publishing times based on engagement data
  • Headline formulas with proven performance
  • Content length recommendations
  • Topic clustering and pillar content identification

Read the full file on GitHub · 247 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 247 lines · 53 tokens per session scan A e849946b1429

Subscribe to this mod's changes

content-trend-researcher is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 53 tokens to every session and 1,813 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-trend-researcher, differing in 0 lines, and is treated as a copy.

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