By jadecli
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
Build features guided by data insights, A/B testing, and continuous measurement
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimnpx claudepluginhub jadecli/jadecli-claude-pluginsBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Curated Claude Code plugins for the jadecli workspace. Vendors plugins from upstream enterprise repos and hosts jadecli custom plugins.
plugins/
anthropic/ # Anthropic official plugins (LSP servers, PR review, etc.)
astral-sh/ # uv, ruff, ty — Python tooling
neondatabase/ # Neon Postgres serverless skills
cloudflare/ # Cloudflare Workers skills
stripe/ # Stripe development plugin
trailofbits/ # Trail of Bits security skills
huggingface/ # HuggingFace model/dataset skills
sentry/ # Sentry error monitoring
expo/ # Expo React Native skills
supabase/ # Supabase backend skills
vercel/ # Vercel deployment plugin
google-labs/ # Google Labs skills
microsoft/ # Microsoft Playwright, Amplifier
jadecli/ # Our custom plugins
Each vendor directory is vendored from its upstream source repo. See upstream.json for the full mapping.
Syncing from upstream:
scripts/sync-upstream.sh # sync all vendors
scripts/sync-upstream.sh stripe # sync a single vendor
.claude-plugin/marketplace.json is the plugin registry consumed by Claude Code. It follows the Anthropic marketplace schema.
upstream.jsonscripts/sync-upstream.sh <vendor>.claude-plugin/marketplace.jsonclaude --plugin ./plugins/<vendor>/<plugin-name>plugins/jadecli/<plugin-name>/.claude-plugin/ manifest.claude-plugin/marketplace.jsonData engineering agents providing expertise in ETL pipelines, streaming, and data warehousing
Editorial "Data Engineering" bundle for Claude Code from Antigravity Awesome Skills.
Data engineering plugin - warehouse exploration, pipeline authoring, Airflow integration
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.
Claude Code skill pack for Snowflake data platform — snowflake-sdk, SQL, Snowpark (30 skills)
Agents for data engineering, machine learning, and AI development