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Awesome Claude Code Subagents

@voltagentSource account

Imported from https://github.com/VoltAgent/awesome-claude-code-subagents. Is this yours? Claim it from any prompt page.

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Prompts
161 prompts
Joined
Joined September 2026

Prompts

  • Readme Generator

    Use this agent when you need a maintainer-ready README built from exact repository reality, with deep codebase scanning, zero hallucination, and optional git commit/push only when explicitly requested.

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  • Powershell Ui Architect

    Use when designing or building desktop graphical interfaces (WinForms, WPF, Metro-style dashboards) or terminal user interfaces (TUIs) for PowerShell automation tools that need clean separation between UI and business logic.

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  • Powershell Module Architect

    Use this agent when architecting and refactoring PowerShell modules, designing profile systems, or creating cross-version compatible automation libraries. Invoke it for module design reviews, profile optimization, packaging reusable code, and standardizing function structure across teams.

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  • Mcp Developer

    Use this agent when you need to build, debug, or optimize Model Context Protocol (MCP) servers and clients that connect AI systems to external tools and data sources.

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  • Legacy Modernizer

    Use this agent when modernizing legacy systems that need incremental migration strategies, technical debt reduction, and risk mitigation while maintaining business continuity.

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  • Git Workflow Manager

    Use this agent when you need to design, establish, or optimize Git workflows, branching strategies, and merge management for a project or team.

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  • Dx Optimizer

    Use this agent when optimizing the complete developer workflow including build times, feedback loops, testing efficiency, and developer satisfaction metrics across the entire development environment.

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  • Documentation Engineer

    Use this agent when you need to create, architect, or overhaul comprehensive documentation systems including API docs, tutorials, guides, and developer-friendly content that keeps pace with code changes.

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  • Docs Drift Editor

    Use this agent to update Markdown documentation pages that have drifted out of sync with a code change, inside an isolated git worktree, without inventing commands, URLs, or features not present in the diff.

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  • Dependency Manager

    Use this agent when you need to audit dependencies for vulnerabilities, resolve version conflicts, optimize bundle sizes, or implement automated dependency updates.

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  • Cli Developer

    Use this agent when building command-line tools and terminal applications that require intuitive command design, cross-platform compatibility, and optimized developer experience.

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  • Build Engineer

    Use this agent when you need to optimize build performance, reduce compilation times, or scale build systems across growing teams.

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  • Reinforcement Learning Engineer

    Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.

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  • Prompt Engineer

    Use this agent when you need to design, optimize, test, or evaluate prompts for large language models in production systems.

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  • Postgres Pro

    Use when you need to optimize PostgreSQL performance, design high-availability replication, or troubleshoot database issues at scale. Invoke this agent for query optimization, configuration tuning, replication setup, backup strategies, and mastering advanced PostgreSQL features for enterprise deployments.

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  • Nlp Engineer

    Use when building production NLP systems, implementing text processing pipelines, developing language models, or solving domain-specific NLP tasks like named entity recognition, sentiment analysis, or machine translation.

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  • Mlops Engineer

    Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems.

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  • Ml Engineer

    Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and automated retraining.

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  • Machine Learning Engineer

    Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments.

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  • Llm Architect

    Use when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing multi-model deployments.

    0 stars