neo4j-spark-skill
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x…
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Updated 10-16 00:02
14,089 results
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x…
Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma,…
Monitors VC investor activity and deal signals on Twitter using apidojo's Tweet scraper. Triggers when the user asks to: monitor VC activity on Twitter, track…
Scrapes Instagram posts tagged at a specific location or place using apidojo's Instagram Location scraper on Apify. Triggers when the user asks to: get…
Covers the Neo4j Go Driver v6 — driver lifecycle, ExecuteQuery, managed and explicit transactions, session config, error handling, data type mapping, and…
MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an…
Documents the results of a completed experiment or A/B test with statistical analysis, learnings, and recommendations. Use after experiments conclude to…
Scrapes comments from any TikTok video using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: get all comments on a TikTok video,…
Extracts YouTube channel metadata, subscriber counts, video counts, and descriptions using apidojo's YouTube Channel Scraper on Apify. Triggers when the user…
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building…
Extracts all videos from a YouTube playlist using apidojo's YouTube Playlist Scraper on Apify. Triggers when the user asks to: get all videos from a YouTube…
Design and manage market data infrastructure — real-time and delayed feeds, Level 1/2/3 depth, consolidated tape vs direct feeds, vendor selection, licensing,…
Scrapes Google search results for any query using apidojo's Google Search scraper on Apify. Triggers when the user asks to: get Google search results for a…
ATP and WTA tennis data via ESPN public endpoints — tournament scores, season calendars, player rankings, player profiles, and news. Zero config, no API…
Run Neo4j Graph Analytics algorithms (PageRank, Louvain, WCC, Dijkstra, KNN, Node2Vec, FastRP, GraphSAGE) directly inside Snowflake without moving data. Use…
Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the…
RSpec testing best practices for Ruby and Rails applications, covering test organization, data management, and isolation patterns.
Scrapes all members and their profile data from any public Twitter/X list using apidojo's Twitter List scraper on Apify. Triggers when the user asks to: get…
Extracts tweets, reply threads, and engagement metrics from a specific Twitter/X profile using apidojo's Twitter Profile Scraper on Apify. Triggers when the…
Extracts and analyzes TikTok comments from any video or creator using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: scrape TikTok…
Scrapes tweets matching any keyword, hashtag, phrase, or boolean query using apidojo's Twitter Search scraper on Apify. Triggers when the user asks to: scrape…
Fetch Oura Ring sleep data using the ouraclaw CLI. Use when the user asks about their sleep score, sleep data, sleep stages, HRV, heart rate during sleep,…
Use when the user asks about RevenueCat data, analytics, charts, or KPIs — querying charts with get-chart-options-schema and get-chart-data, interpreting…
A member of the SciPilot Skills family, responsible for research data visualization—but its positioning is not "a plotting tool," but rather "a visualization consultant." It first performs data profiling (column types/sample size/distribution/outliers/group structure/correlations), then recommends chart types based on the user's argumentation goal, and proactively intercepts classic mistakes in research plotting (small samples plotted as mean bars masking the distribution, dual Y-axes, pie charts, improper Y-axis truncation, rainbow...