Data Feeds
brightdata/skills
Extract structured data from 40+ supported platforms (Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, Reddit, and more) via the Bright Data CLI (bdata pipelines).
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category.
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .claude/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trend-analysis .agents/skills/trend-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .agents/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trend-analysis .cursor/skills/trend-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .cursor/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MaxKmet/idea-validation-agents.git --path skills/trend-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trend-analysis .gemini/skills/trend-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .gemini/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MaxKmet/idea-validation-agents trend-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trend-analysis .github/skills/trend-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .github/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MaxKmet/idea-validation-agents --skill trend-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MaxKmet/idea-validation-agents trend-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trend-analysis .opencode/skills/trend-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trend-analysis" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/trend-analysis into .opencode/skills/trend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trend-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
trend-analysisAnalyzes 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. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3a4c800. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from MaxKmet/idea-validation-agents at commit 3a4c800, republished under its MIT licence (© MaxKmet). 503 words, ~1,234 tokens.
.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.<!-- version: 0.1.0 | outputs: memory/market_insights/<niche>-<platform>-<YYYY>-<MM>.md | prompts: skills/trend-analysis/prompts/ -->
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.
skills/trend-analysis/prompts/ (see Prompts section below)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)
- TikTok — hashtag trends, viral content angles, creator gaps
- Reddit — community pain points, recurring complaints, unmet needs
- App Store — category rankings, new entrants, top review complaints
- Web Search (Google) — search volume trends, rising queries, SEO demand
- X/Twitter — public builder threads, product complaints, creator demand signals
- 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.
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:
| File | Platform | Placeholder |
|---|---|---|
prompts/tiktok.md | TikTok hashtag & trend analysis | [NICHE] |
prompts/reddit.md | Reddit community & pain-point analysis | [NICHE] |
prompts/apps.md | App Store & web app category analysis | [CATEGORY] |
prompts/web-search.md | Google/SEO keyword trend analysis | [NICHE] |
prompts/x-twitter.md | X/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.
| Platform | Signal | Tool/Source |
|---|---|---|
| TikTok | Hashtag views, viral content, creator angles | TikTok Creative Center |
| Subreddit growth, post volume, pain language | Reddit search + analytics | |
| App Store | Category rankings, new entrants, review trends | Sensor Tower, data.ai, AppFollow |
| Google Search | Search volume trends, rising queries | Google Trends, Ahrefs |
| X/Twitter | Builder threads, product complaints, creator and operator demand | Native search, curated lists, optional TweetClaw/OpenClaw exports |
prompts/<platform>.md and replace [NICHE] / [CATEGORY] with the target topic.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.
Write to memory/market_insights/<niche>-<platform>-<YYYY>-<MM>.md.
The file has two parts:
---
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
---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
SKILL.md and 5 other files in skills/trend-analysis of MaxKmet/idea-validation-agents.
Open the folder on GitHubat commit 3a4c800
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trend Analysis this skillMaxKmet/idea-validation-agents | 474 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Data Feedsbrightdata/skills | 264 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Scrapebrightdata/skills | 264 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Apify Trend Analysismajiayu000/claude-skill-registry | 666 | 3 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Tiktok Shop Inventorynexscope-ai/eCommerce-Skills | 1.1k | — | ~444 | Automated safety check: Pass | MIT | |
| Apify Multi-Platform Scraperapify/agent-skills | 2.4k | 2 repos | ~1.4k | Automated safety check: Notes | None |
brightdata/skills
Extract structured data from 40+ supported platforms (Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, Reddit, and more) via the Bright Data CLI (bdata pipelines).
brightdata/skills
Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (bdata scrape).
majiayu000/claude-skill-registry
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
nexscope-ai/eCommerce-Skills
Inventory management for TikTok Shop — demand forecasting, viral stock planning, FBT optimization
apify/agent-skills
Scrapes public data from social, maps, search and review platforms by choosing from about a hundred Apify Actors and running them through the Apify CLI.
ScrapeCreators/social-media-research-skills
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API.
MaxKmet/idea-validation-agents
Models LTV, CAC by channel, LTV:CAC ratios, and payback period for an indie developer.
MaxKmet/idea-validation-agents
Maps the full competitive landscape — direct, indirect, substitute, and emerging competitors — with positioning gap analysis, review mining, and marketinsights-calibrated saturation scoring.
MaxKmet/idea-validation-agents
Writes a concise, human-readable decision brief summarizing the full validation analysis — including score, verdict, RAT experiment, pre-mortem, and tier-appropriate next actions.
MaxKmet/idea-validation-agents
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
MaxKmet/idea-validation-agents
Evaluates organic reach potential, paid feasibility, platform distribution advantages, creator economy fit, and founder edge for a B2C app idea.
MaxKmet/idea-validation-agents
Aggregates all dimension scores into a final idea score (0–100) and issues a verdict.
Categories
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.
Trend Analysis fits situations like: tasks that involve Forecasting and time series; tasks that involve App store release.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Trend Analysis is instructions for the agent only.
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.
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.
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.
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.
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.
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.