FeexSystems Labs
Community@FeexSystems · Terminal 4C · Layer-9 Grid · Feexara Intelligence Galaxy
AI/ML SCIENTIST SYSTEMS BUILDER & ARCHITECT First African Robotics Scientist 🧬 ETS Labs 🧬 A.I.R Labs 🧬 FeexSystems Labs🧬
Agent Skills by FeexSystems Labs
Showing 32 vetted skills indexed across 1 GitHub repositories.
FeexSystemsgcp-data-pipelines
Routes data pipeline requests to the appropriate Google Cloud tool and skill.
FeexSystemsdiscovering-gcp-data-assets
Discovers and inspects Google Cloud data assets using Dataplex search and context lookup.
FeexSystemsgcp-spark
Generates and executes Spark code on Dataproc clusters and Serverless with BigQuery, Iceberg, and Spanner integration.
FeexSystemsmanaging-python-dependencies
Detects project dependency managers and installs Python packages with the correct tooling.
FeexSystemsdata-autocleaning
Profiles and cleans BigQuery and GCS data using Dataplex scans and SQL transformations.
FeexSystemsgcp-dataflow
Guides authoring, packaging, launching, and diagnosing Apache Beam pipelines on Google Cloud Dataflow.
FeexSystemsbigquery-data-transfer-service
Discovers and inspects BigQuery Data Transfer Service configurations for data ingestion pipelines.
FeexSystemsenforcing-resource-attribution
Enforces attribution labels on bq and gcloud CLI commands for resource tracking.
FeexSystemsbigquery-bigframes
Generates Python code using BigQuery DataFrames for pandas-style analysis and ML on BigQuery.
FeexSystemsdbt-bigquery
Generates, modifies, and optimizes dbt models and pipelines targeting Google BigQuery.
FeexSystemsgcp-composer-troubleshooting
Diagnose failed Cloud Composer DAGs and generate root cause analysis reports.
FeexSystemsbigquery-graph
Generates GQL queries and property graph DDL for BigQuery graph analytics.
FeexSystemsfederate-lakehouse-catalog
Configures Google Cloud Lakehouse federated catalogs connecting to Databricks Unity and AWS Glue.
FeexSystemsaccidental-data-loss-prevention
Requires explicit user consent before executing irreversible data deletion commands.
FeexSystemsbuilding-data-apps
Build data dashboards and interactive reports with React, Vite, or Streamlit connected to BigQuery.
FeexSystemsdataform-bigquery
Generates and validates Dataform SQLX pipeline code for BigQuery ELT workflows.
FeexSystemsgcp-managed-airflow-recommendations
Diagnose and tune Cloud Composer environments using Cloud Monitoring metrics and gcloud configuration data.
FeexSystemsskill-repair
Repairs failed agent skill installations and updates manifest.json status entries.
FeexSystemsgcp-managed-airflow-dag-authoring
Author and validate Apache Airflow DAGs for Google Cloud Managed Service for Apache Airflow environments.
FeexSystemsgoogle-cloud-storage-basics
Manages Google Cloud Storage buckets and objects via CLI, APIs, and client libraries.
FeexSystemsbigquery-ai-ml
Write BigQuery SQL queries using built-in AI and ML functions for forecasting, anomaly detection, and generative analysis.
FeexSystemsgcp-pipeline-orchestration
Generates, validates, deploys, and triggers Google Cloud Composer orchestration pipeline definitions.
FeexSystemsgcloud-auth-verification
Diagnoses and resolves missing Google Cloud authentication and Application Default Credentials errors.
FeexSystemsnotebook-guidance
Guides creation and execution of Jupyter notebooks for BigQuery data analysis and visualization.
Frequently Asked Questions About FeexSystems Labs
FAQPage SchemaWhat tasks can I accomplish using FeexSystems Labs' skills?▼
You can build and orchestrate GCP data pipelines using dbt, Dataform, Dataflow (Apache Beam), and Spark on Dataproc; optimize BigQuery SQL; author and migrate Airflow DAGs; assess GCS security posture; and apply Supabase Postgres best practices for schema design, RLS policies, and query performance.
Who are these skills designed for?▼
Data engineers, analytics engineers, and ML practitioners working on Google Cloud who build ELT pipelines, manage Airflow environments, or run BigQuery analysis. They also serve full-stack developers using Supabase Postgres with Next.js, React, or SvelteKit, and teams implementing React Three Fiber 3D asset layers.
What are the prerequisites and dependencies for using these skills?▼
GCP skills require authenticated gcloud or bq access with Application Default Credentials, plus project-specific Python virtual environments rather than global pip installs. Supabase skills require a Postgres database or Supabase project. The skills enforce resource labeling on bq and gcloud commands and require consent before destructive operations.
Are these skills open source and what do they cost?▼
The Google-published GCP skills carry the Apache-2.0 license, while the Supabase Postgres best-practices skill uses the MIT license. Both licenses permit free use, modification, and redistribution, so there is no licensing cost to adopt them in commercial or internal projects.
How do the skills handle pipeline failures and data safety?▼
The gcp-composer-troubleshooting skill generates root cause analysis for failed Airflow DAGs, while Dataflow skills diagnose streaming job health and autoscaling bottlenecks. The accidental-data-loss-prevention skill mandates explicit user consent before DROP, TRUNCATE, gsutil rm, or project deletion commands execute.