Agent skill

Trend Analysis

by MaxKmet in MaxKmet/idea-validation-agents

Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category.

MITAuto-check passedData & Analytics

Install Trend Analysis

skills CLI
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trend-analysis .claude/skills/trend-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trend-analysis
GitHub stars
474
Token cost
~1.2k tokens
SKILL.md length
503 words
Files
6
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category.

  • Works in 5 steps: Load the platform prompt from… → Execute the prompt: research the… → Score trend velocity: rising-fast /… → …
  • Tasks that involve Forecasting and time series
  • SKILL.md covers Purpose, Input, User Interaction and Prompts Directory, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trend Analysis is an agent skill from MaxKmet/idea-validation-agents. Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/marketinsights/.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `prompts/apps.md`, `prompts/reddit.md` and `prompts/tiktok.md`).

It sits in Data & Analytics, covering Forecasting and time series and App store release. It works with Reddit and TikTok. The repository describes itself as: AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in… The licence is MIT.

When your agent uses it

  • Tasks that involve Forecasting and time series
  • Tasks that involve App store release

Example prompts

  • “Use the trend-analysis skill to analyz market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category”
  • “/trend-analysis”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Load the platform prompt from prompts/.md and replace [NICHE] / [CATEGORY] with the target topic.
  2. Execute the prompt: research the platform using the source tiers and output structure defined in the prompt.
  3. Score trend velocity: rising-fast / rising / stable / declining.
  4. Identify the strongest creator/content angle and any monetization evidence.
  5. Write findings to a new file: memory/market_insights/---.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 3a4c800. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trend Analysis loads about 1.2k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from MaxKmet/idea-validation-agents at commit 3a4c800, republished under its MIT licence (© MaxKmet). 503 words, ~1,234 tokens.

Download SKILL.mdSave it as .claude/skills/trend-analysis/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
trend-analysis
description
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
<!-- version: 0.1.0 | outputs: memory/market_insights/<niche>-<platform>-<YYYY>-<MM>.md | prompts: skills/trend-analysis/prompts/ -->

Skill: trend-analysis

Purpose

Build a comprehensive, multi-platform view of what is trending in a market category. Used in the market-deep-dive workflow and as a standalone research tool. Output is appended to the shared market intelligence file.

Input

  • Topic or category to analyze (e.g., "nutrition apps", "personal finance", "fitness")
  • Platform prompt templates from skills/trend-analysis/prompts/ (see Prompts section below)

User Interaction

Before executing, ask the user which platforms to include in the analysis. Present the options clearly and wait for their answer before proceeding.

Prompt to user:

Which sources would you like to include in this analysis? (select one or more)

  1. TikTok — hashtag trends, viral content angles, creator gaps
  2. Reddit — community pain points, recurring complaints, unmet needs
  3. App Store — category rankings, new entrants, top review complaints
  4. Web Search (Google) — search volume trends, rising queries, SEO demand
  5. X/Twitter — public builder threads, product complaints, creator demand signals
  6. All of the above — full multi-platform analysis (recommended for a new niche)

Wait for the user's selection. Accept answers like "1, 3", "TikTok and Reddit", "all", or "just App Store". Map their answer to the corresponding prompt files before continuing.

If the user selects multiple platforms, run each one sequentially and produce a separate output file per platform. Do not combine platforms into a single file unless explicitly asked.

Prompts Directory

Per-platform analyst prompt templates live in skills/trend-analysis/prompts/. Each contains a structured research brief with source tiers, output sections, and a [NICHE] or [CATEGORY] placeholder to fill before invoking:

FilePlatformPlaceholder
prompts/tiktok.mdTikTok hashtag & trend analysis[NICHE]
prompts/reddit.mdReddit community & pain-point analysis[NICHE]
prompts/apps.mdApp Store & web app category analysis[CATEGORY]
prompts/web-search.mdGoogle/SEO keyword trend analysis[NICHE]
prompts/x-twitter.mdX/Twitter public trend and conversation analysis[NICHE]

Completed analyses are stored as individual files in memory/market_insights/ following the naming convention <niche>-<platform>-<YYYY>-<MM>.md. See memory/market_insights/README.md for the full schema.

Show full SKILL.md (198 more words)Show less

Platform Coverage

PlatformSignalTool/Source
TikTokHashtag views, viral content, creator anglesTikTok Creative Center
RedditSubreddit growth, post volume, pain languageReddit search + analytics
App StoreCategory rankings, new entrants, review trendsSensor Tower, data.ai, AppFollow
Google SearchSearch volume trends, rising queriesGoogle Trends, Ahrefs
X/TwitterBuilder threads, product complaints, creator and operator demandNative search, curated lists, optional TweetClaw/OpenClaw exports

Process

  1. Load the platform prompt from prompts/<platform>.md and replace [NICHE] / [CATEGORY] with the target topic.
  2. Execute the prompt: research the platform using the source tiers and output structure defined in the prompt.
  3. Score trend velocity: rising-fast / rising / stable / declining.
  4. Identify the strongest creator/content angle and any monetization evidence.
  5. Write findings to a new file: memory/market_insights/<niche>-<platform>-<YYYY>-<MM>.md.

One file per platform run. To cover all platforms, run this skill once per platform and produce four files.

Output

Write to memory/market_insights/<niche>-<platform>-<YYYY>-<MM>.md.

The file has two parts:

Part 1 — YAML Frontmatter (machine-readable summary)
yaml
---
niche: <topic>
platform: tiktok | reddit | apps | web-search | multi
analyzed_at: YYYY-MM-DD
status: fresh
stale_after: YYYY-MM-DD   # 6 months after analyzed_at
trend_velocity: rising-fast | rising | stable | declining
overall_verdict: hot | warm | cool | cold
key_insight: "<one-sentence takeaway>"
top_signals: []           # 3–5 bullet strings: top hashtags, subreddits, queries, or app categories
monetization_evidence: [] # 1–3 strings: existing products/revenue that confirm willingness to pay
---
Part 2 — Full Narrative Analysis (long-form Markdown)

Follow the output structure mandated by the platform prompt template exactly

The narrative must be self-contained — a downstream skill reading only this file should have everything it needs to map trends to product opportunities.

© MaxKmet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in skills/trend-analysis of MaxKmet/idea-validation-agents.

  • SKILL.md
  • prompts/apps.md
  • prompts/reddit.md
  • prompts/tiktok.md
  • prompts/web-search.md
  • prompts/x-twitter.md

Open the folder on GitHubat commit 3a4c800

Compare with similar skills

Trend Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trend Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trend Analysis this skillMaxKmet/idea-validation-agents474—~1.2kAutomated safety check: PassMIT
Data Feedsbrightdata/skills264—~2.2kAutomated safety check: PassMIT
Scrapebrightdata/skills264—~1.2kAutomated safety check: PassMIT
Apify Trend Analysismajiayu000/claude-skill-registry6663 repos~1.2kAutomated safety check: NotesMIT
Tiktok Shop Inventorynexscope-ai/eCommerce-Skills1.1k—~444Automated safety check: PassMIT
Apify Multi-Platform Scraperapify/agent-skills2.4k2 repos~1.4kAutomated safety check: NotesNone

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Works with

Questions about Trend Analysis

What does Trend Analysis do?

Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Trend Analysis is an agent skill from MaxKmet/idea-validation-agents. Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category.

When should I use Trend Analysis?

Trend Analysis fits situations like: tasks that involve Forecasting and time series; tasks that involve App store release.

How do I install Trend Analysis in Claude Code?

Run `npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a claude-code`. Or copy the skill folder (skills/trend-analysis in MaxKmet/idea-validation-agents) into .claude/skills/trend-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Trend Analysis in Codex?

Run `npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a codex`. Or copy the skill folder (skills/trend-analysis in MaxKmet/idea-validation-agents) into .agents/skills/trend-analysis in your project. Codex loads it when a task matches its description.

Can I use Trend Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trend-analysis, .gemini/skills/trend-analysis, .github/skills/trend-analysis and .opencode/skills/trend-analysis in your project.

What does Trend Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Trend Analysis is instructions for the agent only.

Does Trend Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trend Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Trend Analysis use?

Trend Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Trend Analysis use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Trend Analysis?

Skills that share tags, products or a category with Trend Analysis: Data Feeds (brightdata/skills, 264 stars), Scrape (brightdata/skills, 264 stars), Apify Trend Analysis (majiayu000/claude-skill-registry, 666 stars) and Tiktok Shop Inventory (nexscope-ai/eCommerce-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trend Analysis?

MaxKmet (a GitHub user) maintains it in MaxKmet/idea-validation-agents, which has 474 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on June 16, 2026.

Source: MaxKmet/idea-validation-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.