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Search Data Pipeline , found 322 results

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Log Deal Update

recipe-log-deal-update

googleworkspace/cli

Append a sales deal status update directly into a Google Sheets tracking spreadsheet to keep pipeline data synchronized across your team.

Automate CircleCI CI/CD Operations

circleci-automation

sickn33/antigravity-awesome-skills

This toolkit provides comprehensive automated control over CircleCI CI/CD pipelines via Rube MCP. Users can trigger new builds, monitor workflow and job statuses, retrieve detailed job information, download build artifacts, and extract detailed test metadata. It streamlines complex DevOps operations by managing the entire CI/CD lifecycle.

Make Scenario Automation and Monitoring

make-automation

sickn33/antigravity-awesome-skills

A powerful tool utilizing Rube MCP to automate interactions with Make (formerly Integromat) scenarios. It allows users to retrieve detailed operation logs, monitor usage data, and validate critical configuration parameters such as supported languages and timezones. Ideal for building comprehensive workflow monitoring dashboards and ensuring the integrity of complex integration pipelines.

Automate PostHog Analytics and Feature Management

posthog-automation

sickn33/antigravity-awesome-skills

A powerful toolset for automating core PostHog product analytics tasks via Rube MCP. It enables developers and analysts to capture user events, list and filter event data, manage feature flags (creation, retrieval, listing), and inspect user profiles. Ideal for integrating advanced product tracking and A/B testing workflows directly into development pipelines.

Credit Risk Data Cleansing

datanalysis-credit-risk

github/awesome-copilot

Structured pipeline for credit risk pre-loan modeling that loads and formats raw data, filters abnormal periods, trims high-missing/low-IV/high-PSI/high-correlation features, denoises via Null Importance, and exports an Excel cleaning report for review.

Eval-Driven Development for LLM Applications

eval-driven-dev

github/awesome-copilot

This skill guides the end-to-end process of building automated evaluation pipelines for Python applications powered by Large Language Models (LLMs). It teaches how to define evaluation criteria, instrument the application, build golden datasets, and run real-world evaluations using tools like pixie, ensuring the app's logic (not just the LLM) is rigorously tested. Ideal for QA, benchmarking, and improving LLM-based services.

Monte Carlo Prevent Context

monte-carlo-prevent

sickn33/antigravity-awesome-skills

Surfaces Monte Carlo data observability insights—health, lineage, alerts, and monitors-as-code—before developers edit dbt models or SQL pipelines, ensuring risk-aware code changes.

dbt Change Validation Notebook Generator

monte-carlo-validation-notebook

sickn33/antigravity-awesome-skills

This skill automatically generates an interactive SQL Notebook designed to validate changes in dbt models or snapshots. It processes changes identified from a GitHub PR or local repository, generating comparison queries that compare 'before' (production) and 'after' (development) data states. It is essential for embedding data observability and quality checks into CI/CD pipelines.

Biopython Molecular Toolkit

K-Dense-AI/scientific-agent-skills

Biopython provides Python APIs for sequence manipulation, database access, BLAST automation, structural bioinformatics, and phylogenetics, making it ideal for scripting custom pipelines and batch processing in computational molecular biology workflows.

DNAnexus Cloud Genomics

dnanexus-integration

K-Dense-AI/scientific-agent-skills

Integrate with the DNAnexus cloud genomics platform to build apps/applets, manage FASTQ/BAM/VCF data, run workflows, and script automations via dxpy for biomedical pipelines.

FlowIO FCS Handler

K-Dense-AI/scientific-agent-skills

FlowIO reads and writes Flow Cytometry Standard (FCS) files, exposing metadata, channels, and NumPy event arrays while allowing CSV/DataFrame conversion, making it ideal for cytometry pipelines and backend preprocessing services.

Polars Fast DataFrame

K-Dense-AI/scientific-agent-skills

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

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