google-trends-research
Research Google Trends search-intent signals for topic discovery, keyword momentum, regional interest, and rising queries without treating search trends as the same thing as platform content heat or marketplace demand.
How do I install this agent skill?
npx skills add https://github.com/postplusai/postplus-skills --skill google-trends-researchIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The Google Trends Research skill enables an agent to analyze search intent signals through the PostPlus infrastructure. It uses Node.js scripts to communicate with hosted collection actors and includes shared libraries for network requests and configuration management. Analysis confirms that all network operations and command executions are consistent with the skill's stated purpose and the vendor's infrastructure. No malicious patterns, obfuscation, or unauthorized data access were detected.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
Google Trends Research
Use this skill for Google Trends platform-data work: topic discovery, keyword momentum, regional interest, rising queries, and search-intent watchlists.
Apply shared rulebook and user-guidance rules from postplus-shared.
Core Rule
Treat Google Trends as a search-intent source, not full demand proof.
Good uses: topic discovery, keyword momentum, regional comparison, rising-query discovery, and watchlist monitoring.
Do not overclaim transaction demand, conversion intent, marketplace competitiveness, creator execution quality, or merchant-model fit from Google Trends alone.
Task Shapes
Classify the request first:
- Trending now scan: hot searches by country or recent lookback.
- Keyword momentum check: trend changes across one or more terms.
- Regional interest mapping: which markets are warmer for a topic.
- Related query expansion: rising terms usable as seeds.
Collection Key Routing
Keyword analysis uses one keyword string. Keyword requests must set
enableTrendingSearches: false; queries is not a supported keyword-request
field because it produces generic realtime trending searches.
The --request file is the collection input object (the compiled Google Trends
request) directly.
postplus research collect google-trends-fast --request request.json --output result.json
<!-- END GENERATED EXECUTION EXAMPLE -->
Default Workflow
- Classify the request into one task shape.
- Compile one keyword with country and timeframe.
- Collect a small valid sample through
google-trends-fast. - Extract trend signals that matter.
- Separate observation from inference.
- Hand off to platform or marketplace research if deeper evidence is needed.
The result record shape for the collection key is documented in the
postplus-shared reference dataset-item-schemas.md; consult it before
writing result-processing code, and probe a single record only to verify.
Keep query briefs, raw trend payloads, normalized outputs, and watchlist caches
under .postplus/google-trends/; keep final summaries or shortlist exports
where the user can inspect them.
Good Output
Return keyword or topic set, observed trend signal, timeframe, geo scope, strongest rising queries or related topics, provisional implication, and the missing evidence layer.
Failure Modes
- Do not treat search spikes as proof that a product will sell.
- Do not confuse news-driven spikes with durable category demand.
- Do not skip geo and timeframe details when comparing terms.
- Do not send
queriesfor keyword momentum checks; usekeywordwithenableTrendingSearches: false. - Stop on unsupported keys, missing auth, unavailable hosted service, stable network failure, or malformed collection output.
- Do not answer Google Trends platform-data requests from generic web articles when the hosted route is available.
Handoff
- TikTok content heat or hook patterns ->
tiktok-research. - Instagram creator, account, or campaign scouting ->
instagram-research. - Instagram/Meta content proof ->
social-media-extractor. - Cross-source sourcing or selection judgment ->
sourcing-selection.
Public Command Boundary
- Choose the smallest matching command or workflow from the user input and run it directly.
- Readiness diagnostics:
postplus doctor --skill google-trends-research. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
- Use
postplus research schema --collection-key google-trends-fast --jsononly when constructing or repairing an unknown request shape. - Hosted collection:
postplus research collect google-trends-fast --request <input.json> --output <result.json>(input = the collection parameters). - Resume a pending collection:
postplus research collect --run-handle <runHandle> --output <result.json>(waits in-command up to 45s per invocation; rerun while pending). - Preview and approval boundaries stay explicit; do not execute irreversible publishing without the required approval artifact.
- If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/postplusai/postplus-skills/google-trends-research">View google-trends-research on skillZs</a>