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Found 114 Skills
Create notarized macOS app releases with Sparkle auto-updates, DMG installers, and GitHub releases. Use when releasing macOS apps, creating DMG files, notarizing apps, or setting up Sparkle updates. Handles version updates, code signing, notarization, and distribution.
Design ETL workflows with data validation using tools like Pandas, Dask, or PySpark. Use when building robust data processing systems in Python.
Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures. Use PROACTIVELY for Scala system design, performance optimization, or enterprise integration.
Scala 3.4+ development specialist covering Akka, Cats Effect, ZIO, and Spark patterns. Use when building distributed systems, big data pipelines, or functional programming applications.
Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
Generate a paid social creative brief from a whitelisted or Spark Ad creator post, covering hook analysis, messaging angle, audience targeting, caption variants, and placement recommendations. This skill should be used when turning a creator post into a paid ad brief, writing a creative brief for whitelisted content, briefing the paid team on creator content, generating Spark Ads briefs from organic posts, creating paid media briefs from influencer content, translating UGC into a paid social strategy, building a media buyer brief from a creator video, preparing whitelisted content for ad spend, or generating placement recommendations for boosted creator content. For adapting captions into ad copy variants, see paid-ad-copy-adapter. For organic repost captions, see organic-repost-caption-writer. For FTC compliance, see ftc-disclosure-spot-checker.
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.
Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation
V8 JIT Compilation, TurboFan, Maglev, Sparkplug. Load this when needing to understand V8's compilation pipeline, JIT optimization, or JITless mode.
Search, browse, and analyze topics, threads, claims, and market regime
Discover and explore Seer API commands via schema introspection