38 boosters for "pipeline" — AI-graded, open source, ready to install
Get Shit Done (GSD) is a meta-prompting and context engineering system that helps developers coordinate AI-assisted workflows across multiple platforms while preventing quality degradation from context window bloat. Developers building with Claude, OpenCode, Gemini, and Codex benefit from its structured Plan→Execute→Verify→Complete pipeline.
Heuristic scoring (no AI key configured).
mq is a jq-like CLI tool for querying and transforming Markdown files, with development guidelines covering Rust conventions, project structure, and multi-platform integrations (LSP, DAP, WASM, Python). Developers building Markdown processing pipelines or contributing to the mq project benefit from these structured instructions.
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
Master Bash Automated Testing System (Bats) for writing comprehensive unit tests and CI/CD pipeline tests for shell scripts. Essential for developers building production-grade shell utilities and implementing test-driven development practices.
Control Android devices via ADB commands to automate interactions like tapping, swiping, typing, and app navigation. Developers building Android automation tools, testing frameworks, or mobile CI/CD pipelines benefit from this skill.
Cocode is a Windsurf rules booster that provides guidelines for writing and editing Pipelex pipelines, covering file naming, structure, and best practices for code repository analysis workflows.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
Full GEO optimization pipeline - analyze, rank, rewrite, and generate schema for any URL or content
This booster enables developers to execute and test GitHub Actions workflows locally using the act tool, eliminating the need to push changes to GitHub to validate CI/CD pipelines. It's valuable for anyone working with GitHub Actions who wants faster feedback and local debugging capabilities.
Browser skill enables live Chrome automation within Factory CLI for web browsing, interaction, data extraction, and screenshots using natural language commands. Developers building automated workflows, web scraping pipelines, or testing scenarios will find this essential for programmatic browser control.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
Cursor Rules for tonkbook that guide AI agents in building data processing pipelines and workspace structures using the Tonk framework. Useful for developers building conversational data platforms with CLI-driven workflows.
An ML engineer agent that handles end-to-end production ML workflows including model serving, feature engineering, A/B testing, and monitoring for TensorFlow/PyTorch deployments. Ideal for teams building scalable ML systems who need guidance on MLOps best practices and production readiness.
A GitHub Actions debugging skill that analyzes workflow failures using the gh CLI to identify root causes and distinguish between warnings and actual errors. Useful for developers troubleshooting CI/CD pipeline issues.
FORGE Framework DevOps specialist agent that handles infrastructure, deployment, monitoring, and operational concerns with awareness of Claude model capabilities and MCP server integrations. Ideal for teams managing cloud infrastructure, CI/CD pipelines, and DevOps automation workflows.
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
This booster provides Pipelex API rules and guidelines for writing and validating AI workflows in .plx files within Windsurf, helping developers create structured, repeatable agent pipelines through a domain-specific language.
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
Multi-agent collaboration architect for complex phase tasks. Designs team compositions, manages shared context, orchestrates handoffs, resolves conflicts, and drives convergence toward phase deliverables within the dev-system pipeline.
A system prompt that enables LLM-based news headline tagging by categorizing stories into People, Topic, and Geography tags with structured JSON output. Useful for developers building news processing pipelines or content classification systems.
Docker Buildx enables multi-platform container image builds with advanced caching and CI integration for developers working with containerized applications. DevOps engineers and backend developers benefit most from optimized build pipelines across architectures.
A versatile AI agent that provides expert guidance across data engineering, machine learning, MLOps, and generative AI workflows—ideal for developers building production ML systems, data pipelines, and AI applications.
