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apidojo-io/apidojo-skills629 installs

researching-internet-slang-and-cultural-trends

Extracts slang definitions, cultural terms, and crowd-sourced meanings from Urban Dictionary using apidojo's Urban Dictionary Scraper on Apify. Triggers when the user asks to: look up internet slang terms, find how Gen Z or millennials define a word, research cultural vocabulary or meme terminology, understand what a term means on social media, analyze slang used in brand monitoring, find crowd-sourced definitions for multiple keywords, or track how language is evolving around a topic or brand name. Returns word, definition, usage example, author, upvotes, downvotes, and date. Ideal for brand researchers, social media analysts, content teams, and cultural marketers.

How do I install this agent skill?

npx skills add https://github.com/apidojo-io/apidojo-skills --skill researching-internet-slang-and-cultural-trends
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubwarn

    This skill researches internet slang by scraping Urban Dictionary via the Apify platform. It features a custom transformation parameter that allows for dynamic JavaScript execution, which poses a security risk if user input is not properly sanitized. Additionally, it processes untrusted, crowdsourced content that may contain offensive language or hidden instructions.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

Researching Internet Slang And Cultural Trends


Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Urban Dictionary search URLs
keywordsarrayOptional[]Keywords/slang terms to search
maxItemsnumberOptionalUnlimitedMaximum definitions to return
customMapFunctionstringOptional—JavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.json --format json

REST API fallback

curl -X POST "https://api.apify.com/v2/acts/apidojo~urbandictionary-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~urbandictionary-scraper and the input above.


Scoring & Ranking

Score each definition by:

  • community_approval = thumbsUp / (thumbsUp + thumbsDown) → weight 0.50
  • thumbsUp → normalized 0-1 (cap at 50K), weight 0.30
  • recency (newer entries = higher score) → weight 0.20
approval = thumbsUp / max(thumbsUp + thumbsDown, 1)
score = 0.50 * approval + 0.30 * min(thumbsUp / 50000, 1.0) + 0.20 * recency_score

Classification

ScoreTierLabel
≥ 0.70ACONSENSUS_DEFINITION
0.40–0.69BCOMMUNITY_ACCEPTED
< 0.40CDISPUTED

Edge Cases

  • No results: Term not in Urban Dictionary — may be too new or too niche.
  • NSFW content: Urban Dictionary is explicit by default — filter results downstream for professional use.
  • Many definitions: Popular terms have 50+ entries — use maxItems to cap and focus on top voted.
  • Brand as slang: Brands sometimes appear as slang entries — check if the definition is positive or negative.
  • Evolving language: Definitions from 5+ years ago may be outdated — filter by createdAt if recency matters.

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/apidojo-io/apidojo-skills/researching-internet-slang-and-cultural-trends">View researching-internet-slang-and-cultural-trends on skillZs</a>