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Grok
Grok Bot+18 agentsNew Term Radar
Spot new AI model, product and repo names before keyword tools list them, and decide which search terms to build pages for.
Free
New Term Radar
Example session with this skill installed
Research PhotoCraft, Claude Haiku 5.5 and SynthID Detector: which keywords are worth a page this week?
- Read your context and instructions
- Compiled the new term radar
Summary
Read three new names and the generic terms behind them (a real run from the project README, 2026-10-12, shortened). Two names are rising and big enough to act on now; the steady demand behind SynthID Detector is "ai image detector".
Keyword table
| Keyword | Type | Behind | Est. searches/day | Started rising | Last 7 days vs the 7 before | Now | Decision |
|---|---|---|---|---|---|---|---|
| photocraft 🖼 | name | — | 12,747 | 2026-10-05 | — | still rising | prioritize |
| claude haiku 5.5 | name | — | 1,863 | 2026-10-07 | ×6.0 | still rising | prioritize |
| ai image detector 🖼 | generic | synthid detector | 2,537 | — | ×1.2 | flat | watch |
| photoshop alternative ⚠ | generic | photocraft | 244 | — | ×1.8 | flat | skip |
Why
photocraft and
claude haiku 5.5 rose in the last 30 days, are still up, and clear the daily threshold: build pages now.
ai image detector is steady demand (about 2,500 searches a day) behind SynthID Detector. It did not move on the release, so watch it.
- photoshop alternative carries someone else's brand (⚠) and is small: skip.
Next steps
- Read each name again in three days: on announcement day the posts are mostly announcements.
- Check page one before building: the page-one check names the weakest site a new page can push past.
- After 14 days the radar checks every lead against Google Trends and reports its own hit rate.
Connects securely to your tools. The creator never sees your data.
About this skill
New Term Radar finds the names that are starting to surge in AI (new models, products, tools and repos) where they are said first, and turns them into a keyword decision.
What it does
- Reads the X accounts you choose, Hugging Face trending, GitHub breakout repos and the sitemaps of directories you watch, and keeps the names that are new.
- For each name it proposes the generic search terms behind it, sizes them with Google Ads volume and Google Trends, checks Google's first page, and marks each keyword prioritize, watch or skip.
- It reads every lead again after 14 days against Google Trends, so you can see its own hit rate.
What you need
- Python 3.10+ and the open-source CLI:
pip install new-term-radar(MIT, Python standard library only), or clone https://github.com/zhuyansen/new-term-radar - An AIsa API key for the paid lookups (X posts, search volumes, Google Trends, the model). Researching names costs about $0.05 a name plus $0.09 a call; the full daily run with the example config is about $0.30.
- Optional: a GoAnyAPI key, for what people searched together with each name and one country's daily Trends series.
Related skills in the same repo
ai-listening: only the collection of new namesseo-new-keywords-research: only the keyword research, for names you already have
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Requires
Python