~ / rigs / lst97 / claude-code-sub-agents

lst97/claude-code-sub-agents

Collection of specialized AI subagents for Claude Code for personal use (full-stack development).

↗ GitHub ★ 1,695 mit updated 1.2y ago collection Claude Code
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ARCHETYPE
Orchestrator
A bench of specialised subagents. The main agent mostly delegates.
CONTEXT TAX · EVERY TURN
~5.6k tokens
Moderate · median rig: 2.3k · breakdown
GUARDRAILS
0/5
No committed guardrails · details

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# review before running: this installs third-party code
$ npx degit lst97/claude-code-sub-agents/agents ./rig-claude-code-sub-agents/agents

MCP servers are added to Claude Code at local scope; env vars are shown as YOUR_… placeholders — we never store values. Files are fetched with degit into a separate folder so you can review before merging.

$ curl -fsSL --create-dirs -o .claude/agents/agent-organizer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/agent-organizer.md
$ curl -fsSL --create-dirs -o .claude/agents/product-manager.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/business/product-manager.md
$ curl -fsSL --create-dirs -o .claude/agents/ai-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/ai-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/data-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/data-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/data-scientist.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/data-scientist.md
$ curl -fsSL --create-dirs -o .claude/agents/database-optimizer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/database-optimizer.md
$ curl -fsSL --create-dirs -o .claude/agents/graphql-architect.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/graphql-architect.md
$ curl -fsSL --create-dirs -o .claude/agents/ml-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/ml-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/postgres-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/postgres-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/prompt-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/data-ai/prompt-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/backend-architect.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/backend-architect.md
$ curl -fsSL --create-dirs -o .claude/agents/dx-optimizer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/dx-optimizer.md
$ curl -fsSL --create-dirs -o .claude/agents/electorn-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/electorn-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/frontend-developer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/frontend-developer.md
$ curl -fsSL --create-dirs -o .claude/agents/full-stack-developer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/full-stack-developer.md
$ curl -fsSL --create-dirs -o .claude/agents/golang-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/golang-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/legacy-modernizer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/legacy-modernizer.md
$ curl -fsSL --create-dirs -o .claude/agents/mobile-developer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/mobile-developer.md
$ curl -fsSL --create-dirs -o .claude/agents/nextjs-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/nextjs-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/python-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/python-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/react-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/react-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/typescript-pro.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/typescript-pro.md
$ curl -fsSL --create-dirs -o .claude/agents/ui-designer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/ui-designer.md
$ curl -fsSL --create-dirs -o .claude/agents/ux-designer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/development/ux-designer.md
$ curl -fsSL --create-dirs -o .claude/agents/cloud-architect.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/infrastructure/cloud-architect.md
$ curl -fsSL --create-dirs -o .claude/agents/deployment-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/infrastructure/deployment-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/devops-incident-responder.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/infrastructure/devops-incident-responder.md
$ curl -fsSL --create-dirs -o .claude/agents/incident-responder.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/infrastructure/incident-responder.md
$ curl -fsSL --create-dirs -o .claude/agents/performance-engineer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/infrastructure/performance-engineer.md
$ curl -fsSL --create-dirs -o .claude/agents/architect-review.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/quality-testing/architect-review.md
$ curl -fsSL --create-dirs -o .claude/agents/code-reviewer.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/quality-testing/code-reviewer.md
$ curl -fsSL --create-dirs -o .claude/agents/debugger.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/quality-testing/debugger.md
$ curl -fsSL --create-dirs -o .claude/agents/qa-expert.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/quality-testing/qa-expert.md
$ curl -fsSL --create-dirs -o .claude/agents/test-automator.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/quality-testing/test-automator.md
$ curl -fsSL --create-dirs -o .claude/agents/security-auditor.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/security/security-auditor.md
$ curl -fsSL --create-dirs -o .claude/agents/api-documenter.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/specialization/api-documenter.md
$ curl -fsSL --create-dirs -o .claude/agents/documentation-expert.md https://raw.githubusercontent.com/lst97/claude-code-sub-agents/main/agents/specialization/documentation-expert.md

This rig commits no guardrails. Here is the community baseline instead — the deny/ask rules most often found across all 7,204 rigs:

{
  "permissions": {
    "deny": [
      "Read(./.env)",
      "Read(**/.env)",
      "Read(~/.ssh/**)",
      "Bash(rm -rf *)",
      "Read(**/*.pem)",
      "Bash(rm -rf /)",
      "Bash(git push --force:*)",
      "Bash(sudo *)",
      "Read(.env)",
      "Bash(rm -rf /*)",
      "Read(./.env.*)",
      "Read(~/.aws/**)",
      "Bash(git push --force*)",
      "Bash(rm -rf:*)",
      "Read(**/*.key)",
      "Read(**/.env.*)",
      "Bash(sudo:*)",
      "Bash(git reset --hard*)",
      "Bash(git reset --hard:*)",
      "Read(.env.*)"
    ],
    "ask": [
      "Bash(git push:*)",
      "Bash(git push *)",
      "Bash(git commit:*)",
      "Bash(rm *)",
      "Bash(rm:*)",
      "Bash(git rebase *)",
      "Bash(wget *)",
      "Bash(npm publish:*)",
      "Bash(git commit *)",
      "Bash(gh pr merge *)"
    ]
  }
}

Subagents (37)

agent-organizer
model: haiku
A highly advanced AI agent that functions as a master orchestrator for complex, multi-agent tasks. It analyzes project requirements, defines a team of specialized AI agents, and manages their collabor
product-manager
model: sonnet
A strategic and customer-focused AI Product Manager for defining product vision, strategy, and roadmaps, and leading cross-functional teams to deliver successful products. Use PROACTIVELY for developi
ai-engineer
model: sonnet
A highly specialized AI agent for designing, building, and optimizing LLM-powered applications, RAG systems, and complex prompt pipelines. This agent implements vector search, orchestrates agentic wor
data-engineer
model: sonnet
Designs, builds, and optimizes scalable and maintainable data-intensive applications, including ETL/ELT pipelines, data warehouses, and real-time streaming architectures. This agent is an expert in Sp
data-scientist
model: sonnet
An expert data scientist specializing in advanced SQL, BigQuery optimization, and actionable data insights. Designed to be a collaborative partner in data exploration and analysis.
database-optimizer
model: sonnet
An expert AI assistant for holistically analyzing and optimizing database performance. It identifies and resolves bottlenecks related to SQL queries, indexing, schema design, and infrastructure. Proac
graphql-architect
model: sonnet
A highly specialized AI agent for designing, implementing, and optimizing high-performance, scalable, and secure GraphQL APIs. It excels at schema architecture, resolver optimization, federated servic
ml-engineer
model: sonnet
Designs, builds, and manages the end-to-end lifecycle of machine learning models in production. Specializes in creating scalable, reliable, and automated ML systems. Use PROACTIVELY for tasks involvin
postgresql-pglite-pro
model: sonnet
An expert in PostgreSQL and Pglite, specializing in robust database architecture, performance tuning, and the implementation of in-browser database solutions. Excels at designing efficient data models
prompt-engineer
model: sonnet
A master prompt engineer who architects and optimizes sophisticated LLM interactions. Use for designing advanced AI systems, pushing model performance to its limits, and creating robust, safe, and rel
backend-architect
model: sonnet
Acts as a consultative architect to design robust, scalable, and maintainable backend systems. Gathers requirements by first consulting the Context Manager and then asking clarifying questions before
dx-optimizer
model: sonnet
A specialist in Developer Experience (DX). My purpose is to proactively improve tooling, setup, and workflows, especially when initiating new projects, responding to team feedback, or when friction in
electron-pro
model: sonnet
An expert in building cross-platform desktop applications using Electron and TypeScript. Specializes in creating secure, performant, and maintainable applications by leveraging the full potential of w
frontend-developer
model: sonnet
Acts as a senior frontend engineer and AI pair programmer. Builds robust, performant, and accessible React components with a focus on clean architecture and best practices. Use PROACTIVELY when develo
full-stack-developer
model: sonnet
A versatile AI Full Stack Developer proficient in designing, building, and maintaining all aspects of web applications, from the user interface to the server-side logic and database management. Use PR
golang-pro
model: sonnet
A Go expert that architects, writes, and refactors robust, concurrent, and highly performant Go applications. It provides detailed explanations for its design choices, focusing on idiomatic code, long
legacy-modernizer
model: sonnet
A specialist agent for planning and executing the incremental modernization of legacy systems. It refactors aging codebases, migrates outdated frameworks, and decomposes monoliths safely. Use this to
mobile-developer
model: sonnet
Architects and leads the development of sophisticated, cross-platform mobile applications using React Native and Flutter. This role demands proactive leadership in mobile strategy, ensuring robust nat
nextjs-pro
model: sonnet
An expert Next.js developer specializing in building high-performance, scalable, and SEO-friendly web applications.Leverages the full potential of Next.js, including Server-Side Rendering (SSR), Stati
python-pro
model: sonnet
An expert Python developer specializing in writing clean, performant, and idiomatic code. Leverages advanced Python features, including decorators, generators, and async/await. Focuses on optimizing p
react-pro
model: sonnet
An expert React developer specializing in creating modern, performant, and scalable web applications. Emphasizes a component-based architecture, clean code, and a seamless user experience. Leverages a
typescript-pro
model: sonnet
A TypeScript expert who architects, writes, and refactors scalable, type-safe, and maintainable applications for Node.js and browser environments. It provides detailed explanations for its architectur
ui-designer
model: sonnet
A creative and detail-oriented AI UI Designer focused on creating visually appealing, intuitive, and user-friendly interfaces for digital products. Use PROACTIVELY for designing and prototyping user i
ux-designer
model: sonnet
A creative and empathetic professional focused on enhancing user satisfaction by improving the usability, accessibility, and pleasure provided in the interaction between the user and a product. Use PR
cloud-architect
model: sonnet
A senior cloud architect AI that designs scalable, secure, and cost-efficient AWS, Azure, and GCP infrastructure. It specializes in Terraform for Infrastructure as Code (IaC), implements FinOps best p
deployment-engineer
model: sonnet
Designs and implements robust CI/CD pipelines, container orchestration, and cloud infrastructure automation. Proactively architects and secures scalable, production-grade deployment workflows using be
devops-incident-responder
model: sonnet
A specialized agent for leading incident response, conducting in-depth root cause analysis, and implementing robust fixes for production systems. This agent is an expert in leveraging monitoring and o
incident-responder
model: sonnet
A battle-tested Incident Commander persona for leading the response to critical production incidents with urgency, precision, and clear communication, based on Google SRE and other industry best pract
performance-engineer
model: sonnet
A senior-level performance engineer who defines and executes a comprehensive performance strategy. This role involves proactive identification of potential bottlenecks in the entire software developme
architect-reviewer
model: haiku
Proactively reviews code for architectural consistency, adherence to patterns, and maintainability. Use after any structural changes, new service introductions, or API modifications to ensure system i
code-reviewer-pro
model: haiku
An AI-powered senior engineering lead that conducts comprehensive code reviews. It analyzes code for quality, security, maintainability, and adherence to best practices, providing clear, actionable, a
debugger
model: sonnet
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
qa-expert
model: sonnet
A sophisticated AI Quality Assurance (QA) Expert for designing, implementing, and managing comprehensive QA processes to ensure software products meet the highest standards of quality, reliability, an
test-automator
model: haiku
A Test Automation Specialist responsible for designing, implementing, and maintaining a comprehensive automated testing strategy. This role focuses on building robust test suites, setting up and manag
security-auditor
model: sonnet
A senior application security auditor and ethical hacker, specializing in identifying, evaluating, and mitigating security vulnerabilities throughout the entire software development lifecycle. Use PRO
api-documenter
model: haiku
A specialist agent that creates comprehensive, developer-first API documentation. It generates OpenAPI 3.0 specs, code examples, SDK usage guides, and full Postman collections.
documentation-expert
model: haiku
A sophisticated AI Software Documentation Expert for designing, creating, and maintaining comprehensive and user-friendly software documentation. Use PROACTIVELY for developing clear, consistent, and

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