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AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Recommendation System Builder

building-recommendation-systems

jeremylongshore/claude-code-plugins-plus-skills

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Claudeception Skill Extraction

blader/Claudeception

Claudeception continuously monitors work sessions, looking for reusable insights—debugging tricks, tool integrations, and workflow optimizations—and codifies them into new Claude Code skills so teams retain non-obvious knowledge for future tasks.

Code Conduct Generator

code-of-conduct-generator

jeremylongshore/claude-code-plugins-plus-skills

Automates code of conduct documentation by guiding through generator patterns, setup instructions, and validation checks tailored for technical documentation workflows.

Semantic Context Restoration For AI Workflows

code-refactoring-context-restore

sickn33/antigravity-awesome-skills

A sophisticated system for recovering and reconstructing complex project context across distributed, multi-agent AI workflows. It utilizes advanced semantic vector search, relevance filtering, and optimized rehydration patterns to maintain high knowledge fidelity and ensure seamless continuity in long-running, complex AI projects. Essential for advanced RAG implementations.

Codeinterpreter Automation Workflow

codeinterpreter-automation

ComposioHQ/awesome-claude-skills

Defines how to automate Codeinterpreter tasks through Composio’s Rube MCP by first discovering current tool schemas, managing the Codeinterpreter connection, and executing schema-compliant tool calls while reusing sessions and honoring memory parameters.

CodeQL Security Scan

trailofbits/skills

Automates CodeQL database builds, suite selection, and taint-aware scans to surface security and quality issues across supported languages, handling output directories, SARIF results, and extensions in one workflow.

CodeRabbit CI/CD Integration Guide

coderabbit-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Learn how to integrate CodeRabbit as a mandatory Continuous Integration (CI) gate within your GitHub repository. This comprehensive guide demonstrates setting up branch protection rules, creating GitHub Actions workflows, and enforcing CodeRabbit's reviews to ensure high code quality before merging. Includes advanced setup for PR size checks and notification mechanisms.

CodeRabbit Automated PR Code Review

coderabbit-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This skill executes CodeRabbit's core workflow, providing automated, in-depth code reviews directly on pull requests. It analyzes code diffs based on custom rules (e.g., API validation, DB security), generates detailed walkthrough summaries, and posts line-level feedback. Ideal for setting up robust CI/CD quality gates and maintaining high code standards throughout the development lifecycle.

Tuning Code Review Quality with AI

coderabbit-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This skill guides users on fine-tuning CodeRabbit's review quality. It teaches the AI agent team preferences through PR feedback, integrates custom code guidelines (e.g., security policies), allows customization of the review tone, and implements path filters to drastically reduce false positives and noise. This ensures that all code feedback is highly relevant, actionable, and aligns with specific team standards.

Setting Up CodeRabbit AI Code Review

coderabbit-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a step-by-step walkthrough for setting up automated AI code reviews using CodeRabbit. It covers creating the necessary `.coderabbit.yaml` configuration file, defining path-specific instructions, triggering reviews via Pull Requests (PRs), and interacting with the feedback using PR comments or the local CLI. Essential for integrating quality gates into CI/CD workflows.

CodeRabbit Incident Response Runbook

coderabbit-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive runbook for handling CodeRabbit service outages or malfunctions. It provides step-by-step procedures for quick triage, emergency bypasses (P1), checking installation health (P2), diagnosing delays (P3), and tuning incorrect review behavior (P4). Essential for maintaining continuous CI/CD workflows when the review bot fails.

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