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Skills keyword-research

Multi-source keyword intelligence and autocomplete research. Fetches real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo — no API key required. Use when: (1) doing SEO or content keyword research, (2) finding what users search for on a topic, (3) competitor or niche research, (4) expanding a seed keyword into hundreds of related terms, (5) building keyword lists for ads or content. Triggers on: keyword research, what do people search for, autocomplete, keyword ideas, SEO keywords, search suggestions, keyword list.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/brasco05/keyword-research1" ~/.claude/skills/clawdbot-skills-keyword-research-c1657e && rm -rf "$T"
manifest: skills/brasco05/keyword-research1/SKILL.md
source content

Keyword Intelligence

Multi-source autocomplete fetcher — no API keys needed. Pulls real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo.

Quick Usage

# All sources, default language (de)
python3 scripts/fetch_suggestions.py "keyword"

# Specific sources
python3 scripts/fetch_suggestions.py "keyword" --sources google,youtube

# English / US region
python3 scripts/fetch_suggestions.py "keyword" --lang en --region us

# Expand mode: fetch suggestions of suggestions (10x more keywords)
python3 scripts/fetch_suggestions.py "keyword" --sources google --expand

# JSON output (for piping or further processing)
python3 scripts/fetch_suggestions.py "keyword" --json

Options

FlagDefaultDescription
--sources
all
all
or comma-separated: 
google
, 
youtube
, 
amazon
, 
ddg
--lang
de
Language code: 
de
, 
en
, 
tr
, 
fr
, 
es
, ...
--region
de
Region: 
de
, 
us
, 
tr
, 
gb
, ...
--expand
offFetches 2nd-level suggestions from Google (base keywords → ~10x results)
--json
offOutputs JSON instead of formatted text

Sources

  • Google — Broadest coverage, best for general web search intent
  • YouTube — Video content ideas, tutorials, how-to queries
  • Amazon — Product/buying intent keywords (works best for product niches)
  • DuckDuckGo — Privacy-focused users, tech/dev audience

Workflow

  1. Start with a seed keyword and 
    --sources all
  2. Identify which source is most relevant for the use case
  3. Use 
    --expand
    on the most promising source for deeper research
  4. Export with 
    --json
    to process or display the results

Notes

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