Keyword Intelligence

    1

    Expand any seed keyword into hundreds of real-time autocomplete suggestions from Google, YouTube, Amazon and DuckDuckGo - no API key needed.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    About this skill

    Keyword Intelligence

    Multi-source autocomplete fetcher — no API keys needed. Pulls real-time search suggestions from Google, YouTube, Amazon, and DuckDuckGo, with an expand mode that multiplies results ~10x by fetching suggestions of the suggestions.

    Quick start

    # All sources, English / US region
    python3 scripts/fetch_suggestions.py "cold plunge" --lang en --region us
    
    # Specific sources only
    python3 scripts/fetch_suggestions.py "protein powder" --sources google,amazon
    
    # Expand mode: fetch 2nd-level suggestions from Google (seed -> ~10x terms)
    python3 scripts/fetch_suggestions.py "home office" --sources google --expand
    
    # JSON output for piping into further processing
    python3 scripts/fetch_suggestions.py "yoga for beginners" --json
    

    Options

    FlagDefaultDescription
    --sourcesallall or comma-separated: google, youtube, amazon, ddg
    --langenLanguage code: en, de, tr, fr, es, ...
    --regionusRegion code: us, gb, de, tr, ...
    --expandoffFetches 2nd-level suggestions from Google (base → ~10x results)
    --jsonoffOutputs JSON instead of formatted text

    Sources and when to use each

    • Google — broadest coverage, best for general web search intent
    • YouTube — video content ideas, tutorials, how-to queries
    • Amazon — product and buying-intent keywords (best for product niches)
    • DuckDuckGo — privacy-focused, tech/dev audiences

    Workflow

    1. Start with a seed keyword across all sources (--sources all)
    2. Identify which source is most relevant to the use case
    3. Run --expand on the most promising source for deeper research
    4. Export with --json and cluster the results by intent (informational / commercial / transactional) before presenting them

    Output format

    Present results as a table per source with the raw suggestion list, then a short "Top opportunities" section where you pick the 5-10 terms that best combine volume signals (position in autocomplete correlates with popularity) and buyer intent. Always state which language/region the data reflects.

    Requirements

    Python 3.8+, requests (standard fallback uses urllib if unavailable). No API keys. No configuration. Works on Linux/macOS/Windows.

    Notes

    • No rate limits are enforced, but the script inserts 0.2s delays between expand calls — keep batch jobs modest.
    • Amazon suggestions may be empty for non-product keywords; expected.
    • YouTube returns fewer results for niche/regional keywords.
    • --expand only works on Google (most reliable for 2nd-level fetching).

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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