Ai Dev Kit

noah-sheldon13stars

Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules for Claude Code, Codex, Gemini CLI, Copilot CLI, Qwen Code, and OpenCode.

Devops

Install Run on PlugMCP

GitHub Website

Run on PlugMCP

1# Ai Dev Kit

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-28

Stars: 13
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Ai Dev Kit?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Ai Dev Kit need an API key?

No required environment variable is listed on this record.

What transport does Ai Dev Kit use?

Ai Dev Kit runs locally over stdio.

When was Ai Dev Kit last checked?

Last checked 2026-10-28. Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules for Claude Code, Codex, Gemini CLI, Copilot CLI, Qwen Code, and OpenCode.

From the publisher

Documentation

AI Dev Kit

Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules.

What Is This?

AI Dev Kit is a complete plugin-oriented developer workspace for AI coding assistants. It ships everything needed to run professional-grade engineering workflows — TDD, code review, security audit, CI/CD, ML pipelines, infrastructure-as-code, code quality analysis, and debt tracking — across Claude Code, Codex, OpenCode, and Gemini CLI.

Think of it as a system prompt that scales to 59 specialized skills and 33 domain agents, with lifecycle hooks and automated validation.

Quick Start

Claude Code

/plugin marketplace add noah-sheldon/ai-dev-kit
/plugin install ai-dev-kit@ai-dev-kit

Or install directly via HTTPS:

/plugin marketplace add https://github.com/noah-sheldon/ai-dev-kit
/plugin install ai-dev-kit@ai-dev-kit

Codex

codex extensions add https://github.com/noah-sheldon/ai-dev-kit

Or clone and discover automatically:

git clone https://github.com/noah-sheldon/ai-dev-kit

The marketplace at .agents/plugins/marketplace.json will be discovered automatically.

OpenCode

cd .opencode/plugins && npm install && npm run build

Or install via HTTPS:

npx opencode plugin install https://github.com/noah-sheldon/ai-dev-kit

Gemini CLI

gemini extensions link https://github.com/noah-sheldon/ai-dev-kit

Or install via HTTPS directly:

gemini extensions install https://github.com/noah-sheldon/ai-dev-kit

GitHub Copilot CLI

copilot plugin marketplace add https://github.com/noah-sheldon/ai-dev-kit
copilot plugin install ai-dev-kit@ai-dev-kit

Or install via HTTPS shorthand:

copilot plugin install https://github.com/noah-sheldon/ai-dev-kit

Qwen Code

qwen extensions install https://github.com/noah-sheldon/ai-dev-kit

Or install locally:

qwen extensions install /path/to/ai-dev-kit

Manual Install (any harness)

./install.sh

What's Inside

ai-dev-kit/
├── agents/              33 specialized agents (planner, architect, code-reviewer, debt analyzers, ...)
├── skills/              59 skill playbooks (TDD, security, ML, infra, web, data, ...)
├── commands/            41 workflow commands and shims
├── hooks/               lifecycle automation (pre-tool, post-tool, session events)
├── rules/               language-specific guidance (common, python, typescript, web)
├── manifests/           install manifests for deterministic setup
├── schemas/             JSON schemas for validation
├── docs/                architecture, design decisions, troubleshooting
├── examples/            reusable templates
├── scripts/             install, validate, sync, and template helpers
├── tests/               smoke tests and surface validation
├── .claude-plugin/      Claude Code plugin manifest + marketplace
├── .codex-plugin/       Codex plugin manifest
├── .agents/             Codex marketplace catalog
├── .gemini/             Gemini CLI extension
└── .opencode/           OpenCode project config + TypeScript plugin

Agents (33)

Agent	When to Use
`planner`	Complex feature work — breaks requirements into phased, mergeable plans
`architect`	System design, component boundaries, API contracts
`tdd-guide`	Writing tests first — RED/GREEN/REFACTOR loop
`code-reviewer`	Reviewing diffs for correctness, regressions, quality
`security-reviewer`	Auth, secrets, input validation, OWASP review
`ai-judge`	Rubric-based validation of plans and outputs
`build-error-resolver`	Fixing TypeScript, Python, and build pipeline errors
`e2e-runner`	End-to-end test authoring and execution
`refactor-cleaner`	Cleanup, modernization, tech debt paydown
`doc-updater`	Syncing docs with code changes
`docs-lookup`	Finding and referencing documentation
`python-reviewer`	Python-specific code review (Pandas, FastAPI, SQLAlchemy)
`database-reviewer`	Schema, migration, and query review
`git-agent-coordinator`	Branch coordination, merges, PR orchestration
`ml-engineer`	ML/LLMOps: RAG, evals, model training, deployment
`chrome-ext-developer`	WXT and Chrome extension development
`data-engineer`	ETL, data quality, pipeline architecture
`infra-as-code-specialist`	IaC, CI/CD, deployment pipelines
`observability-telemetry`	Logs, metrics, traces, dashboard setup
`multi-agent-project-manager`	Multi-workflow orchestration, backlog, priority queue (never stops)
`workflow-auditor`	Health checks, stuck detection, quality gate trending, anomaly reporting
`reddit-researcher`	Reddit sentiment, production war stories, community consensus
`codebase-analyzer`	Codebase structure, dependency, and complexity analysis
`codebase-learner`	Learning and understanding unfamiliar codebases
`code-quality-analyzer`	Static analysis, code quality metrics, and standards enforcement
`test-debt-analyzer`	Identifying and tracking test coverage gaps
`security-debt-analyzer`	Security vulnerabilities and debt tracking
`performance-debt-analyzer`	Performance bottlenecks and optimization opportunities
`dependency-debt-analyzer`	Outdated dependencies and upgrade paths
`architecture-debt-analyzer`	Architectural issues and design debt
`process-debt-analyzer`	Workflow inefficiencies and process bottlenecks
`documentation-debt-analyzer`	Documentation gaps and staleness detection
`technical-debt-analyzer`	Overall technical debt assessment and prioritization

Skills (59)

Core Engineering

agentic-engineering api-design api-integrations backend-patterns frontend-patterns frontend-design hexagonal-architecture coding-standards codebase-onboarding

Testing & Quality

tdd-workflow code-review security-review security-scan e2e-testing python-testing eval-harness verification-loop

AI / ML

claude-api openai-api langchain-llamaindex mlops-workflow mlops-rag pytorch-patterns deep-research exa-search search-first iterative-retrieval autonomous-agent-harness autonomous-loops continuous-agent-loop context-prune token-budget-advisor prompt-optimizer mcp-server-patterns

Data

data-pipelines data-pipelines-ai database-migrations postgres-patterns document-processing

Infrastructure

aws-devops aws-deployment docker-patterns deployment-patterns ci-pipeline github-ops observability-telemetry multi-agent-git-workflow

Workflow & Operations

architecture-decision-records dmux-workflows documentation-lookup git-workflow skill-authoring backlog-management workflow-status

Code Quality & Analysis

codebase-report technical-debt-report

Specialized

wxt-chrome-extension

Commands (41)

Build & quality: build-fix code-review doctor eval ml-review quality-gate review review-pr test-coverage validate verify

Workflow: checkpoint feature-dev plan project-template promote resume-session save-session sessions skill-create skill-health

Git & multi-agent: git-agent multi-agent-status

DevEx: context-budget context-prune install uninstall update-codemaps update-docs

Hook automation: hookify hookify-configure hookify-list hookify-help

Loop & continuous: loop-start loop-status

ML: e2e launch

Learning: learn learn-eval

Cross-Platform Support

Platform	Manifest	Marketplace	Install
Claude Code	`.claude-plugin/plugin.json`	`.claude-plugin/marketplace.json`	`/plugin marketplace add noah-sheldon/ai-dev-kit`
Codex	`.codex-plugin/plugin.json`	`.agents/plugins/marketplace.json`	Plugin Directory (after clone)
Gemini CLI	`.gemini/gemini-extension.json`	`.gemini/GEMINI.md`	`gemini extensions link .`
OpenCode	`.opencode/opencode.json`	`.opencode/plugins/` (npm)	`npm install opencode-ai-dev-kit`
Copilot CLI	`.github-copilot/plugin.json`	`.github-copilot/marketplace.json`	`copilot plugin install noah-sheldon/ai-dev-kit:.github-copilot`
Qwen Code	`qwen-extension.json`	`.qwen/marketplace.json`	`qwen extensions install noah-sheldon/ai-dev-kit`
Cursor	`.cursor/`	—	Manual context pack

Core Principles

Agent-first — delegate domain work to the right specialist.
Test-driven — write tests before implementation when behavior changes.
Security-first — validate inputs, avoid unsafe defaults, never hardcode secrets.
Plan-before-execute — break complex work into phases with the planner.
Model fallback — if a requested model is unavailable, use the default and continue.

Workflow

Request → Planner → Architect → Domain Agents → AI-Judge → Implementation → Code Review → Security Review → Merge

Plan complex work with the planner agent before touching code.
Write tests first — use tdd-guide for RED/GREEN/REFACTOR discipline.
Implement with domain specialists (python-reviewer, ml-engineer, etc.).
Validate with ai-judge — rubric covers completeness, correctness, security, feasibility, testability.
Review with code-reviewer and security-reviewer before merge.
Ship with git-agent-coordinator for clean branch management.

MCP Servers (Optional)

MCP servers are not bundled with this kit to avoid corporate network/proxy issues. Add your own MCP servers as needed:

Server	Purpose
`github`	GitHub API access, PR management
`context7`	Live documentation lookup
`exa`	Neural web search
`memory`	Persistent memory across sessions
`playwright`	Browser automation & E2E testing
`sequential-thinking`	Step-by-step reasoning

Configure MCP servers in your own .mcp.json at the project root.

Requirements

Claude Code v2.1+ (hooks auto-load by convention)
Node.js 24+ LTS (for scripts and validation)
Git (for agent coordination and version control)

FAQ

Q: How do I adapt this for my project? Start from docs/examples/project-guidelines-template.md and customize the skills you need.

Q: What if a model is unavailable? Every agent has a fallback_model setting. If the specified model is down, it falls back to the workspace default.

Q: How do I validate everything is correct?

npm test                    # smoke tests
node scripts/validate-surface.js  # production surface check

Q: Can I install only certain skills? Yes — the kit supports selective install. Each skill is self-contained. Copy only what you need.

Q: How do I contribute? See CONTRIBUTING.md. Run npm test before submitting.

Docs

Document	Purpose
Catalog	Full inventory of all skills, agents, commands
Command-Agent Map	Which agent handles each command
Skill Development Guide	How to write new skills
Troubleshooting	Common issues and workarounds
Architecture Improvements	Design recommendations
Selective Install Design	How partial installs work
Session Adapter Contract	Session state specification

Security

Never hardcode secrets — use environment variables or secret managers.
Validate all external input at boundaries.
Prefer least privilege and explicit allowlists.
Review any change touching auth, secrets, or shell execution with security-reviewer.

See SECURITY.md for the full policy.

License

MIT — see LICENSE.

Author

Noah Sheldon — noahsheldon.dev

Ai Dev Kit

noah-sheldon13stars

Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules for Claude Code, Codex, Gemini CLI, Copilot CLI, Qwen Code, and OpenCode.

Devops

Install Run on PlugMCP

GitHub Website

Run on PlugMCP

1# Ai Dev Kit

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-28

Stars: 13
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Ai Dev Kit?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Ai Dev Kit need an API key?

No required environment variable is listed on this record.

What transport does Ai Dev Kit use?

Ai Dev Kit runs locally over stdio.

When was Ai Dev Kit last checked?

Last checked 2026-10-28. Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules for Claude Code, Codex, Gemini CLI, Copilot CLI, Qwen Code, and OpenCode.

From the publisher

Documentation

AI Dev Kit

Production-ready AI dev workflow scaffold with 59 skills, 33 agents, hooks, and rules.

What Is This?

Think of it as a system prompt that scales to 59 specialized skills and 33 domain agents, with lifecycle hooks and automated validation.

Quick Start

Claude Code

/plugin marketplace add noah-sheldon/ai-dev-kit
/plugin install ai-dev-kit@ai-dev-kit

Or install directly via HTTPS:

/plugin marketplace add https://github.com/noah-sheldon/ai-dev-kit
/plugin install ai-dev-kit@ai-dev-kit

Codex

codex extensions add https://github.com/noah-sheldon/ai-dev-kit

Or clone and discover automatically:

git clone https://github.com/noah-sheldon/ai-dev-kit

The marketplace at .agents/plugins/marketplace.json will be discovered automatically.

OpenCode

cd .opencode/plugins && npm install && npm run build

Or install via HTTPS:

npx opencode plugin install https://github.com/noah-sheldon/ai-dev-kit

Gemini CLI

gemini extensions link https://github.com/noah-sheldon/ai-dev-kit

Or install via HTTPS directly:

gemini extensions install https://github.com/noah-sheldon/ai-dev-kit

GitHub Copilot CLI

copilot plugin marketplace add https://github.com/noah-sheldon/ai-dev-kit
copilot plugin install ai-dev-kit@ai-dev-kit

Or install via HTTPS shorthand:

copilot plugin install https://github.com/noah-sheldon/ai-dev-kit

Qwen Code

qwen extensions install https://github.com/noah-sheldon/ai-dev-kit

Or install locally:

qwen extensions install /path/to/ai-dev-kit

Manual Install (any harness)

./install.sh

What's Inside

ai-dev-kit/
├── agents/              33 specialized agents (planner, architect, code-reviewer, debt analyzers, ...)
├── skills/              59 skill playbooks (TDD, security, ML, infra, web, data, ...)
├── commands/            41 workflow commands and shims
├── hooks/               lifecycle automation (pre-tool, post-tool, session events)
├── rules/               language-specific guidance (common, python, typescript, web)
├── manifests/           install manifests for deterministic setup
├── schemas/             JSON schemas for validation
├── docs/                architecture, design decisions, troubleshooting
├── examples/            reusable templates
├── scripts/             install, validate, sync, and template helpers
├── tests/               smoke tests and surface validation
├── .claude-plugin/      Claude Code plugin manifest + marketplace
├── .codex-plugin/       Codex plugin manifest
├── .agents/             Codex marketplace catalog
├── .gemini/             Gemini CLI extension
└── .opencode/           OpenCode project config + TypeScript plugin

Agents (33)

Agent	When to Use
`planner`	Complex feature work — breaks requirements into phased, mergeable plans
`architect`	System design, component boundaries, API contracts
`tdd-guide`	Writing tests first — RED/GREEN/REFACTOR loop
`code-reviewer`	Reviewing diffs for correctness, regressions, quality
`security-reviewer`	Auth, secrets, input validation, OWASP review
`ai-judge`	Rubric-based validation of plans and outputs
`build-error-resolver`	Fixing TypeScript, Python, and build pipeline errors
`e2e-runner`	End-to-end test authoring and execution
`refactor-cleaner`	Cleanup, modernization, tech debt paydown
`doc-updater`	Syncing docs with code changes
`docs-lookup`	Finding and referencing documentation
`python-reviewer`	Python-specific code review (Pandas, FastAPI, SQLAlchemy)
`database-reviewer`	Schema, migration, and query review
`git-agent-coordinator`	Branch coordination, merges, PR orchestration
`ml-engineer`	ML/LLMOps: RAG, evals, model training, deployment
`chrome-ext-developer`	WXT and Chrome extension development
`data-engineer`	ETL, data quality, pipeline architecture
`infra-as-code-specialist`	IaC, CI/CD, deployment pipelines
`observability-telemetry`	Logs, metrics, traces, dashboard setup
`multi-agent-project-manager`	Multi-workflow orchestration, backlog, priority queue (never stops)
`workflow-auditor`	Health checks, stuck detection, quality gate trending, anomaly reporting
`reddit-researcher`	Reddit sentiment, production war stories, community consensus
`codebase-analyzer`	Codebase structure, dependency, and complexity analysis
`codebase-learner`	Learning and understanding unfamiliar codebases
`code-quality-analyzer`	Static analysis, code quality metrics, and standards enforcement
`test-debt-analyzer`	Identifying and tracking test coverage gaps
`security-debt-analyzer`	Security vulnerabilities and debt tracking
`performance-debt-analyzer`	Performance bottlenecks and optimization opportunities
`dependency-debt-analyzer`	Outdated dependencies and upgrade paths
`architecture-debt-analyzer`	Architectural issues and design debt
`process-debt-analyzer`	Workflow inefficiencies and process bottlenecks
`documentation-debt-analyzer`	Documentation gaps and staleness detection
`technical-debt-analyzer`	Overall technical debt assessment and prioritization

Skills (59)

Core Engineering

agentic-engineering api-design api-integrations backend-patterns frontend-patterns frontend-design hexagonal-architecture coding-standards codebase-onboarding

Testing & Quality

tdd-workflow code-review security-review security-scan e2e-testing python-testing eval-harness verification-loop

AI / ML

Data

data-pipelines data-pipelines-ai database-migrations postgres-patterns document-processing

Infrastructure

aws-devops aws-deployment docker-patterns deployment-patterns ci-pipeline github-ops observability-telemetry multi-agent-git-workflow

Workflow & Operations

architecture-decision-records dmux-workflows documentation-lookup git-workflow skill-authoring backlog-management workflow-status

Code Quality & Analysis

codebase-report technical-debt-report

Specialized

wxt-chrome-extension

Commands (41)

Build & quality: build-fix code-review doctor eval ml-review quality-gate review review-pr test-coverage validate verify

Workflow: checkpoint feature-dev plan project-template promote resume-session save-session sessions skill-create skill-health

Git & multi-agent: git-agent multi-agent-status

DevEx: context-budget context-prune install uninstall update-codemaps update-docs

Hook automation: hookify hookify-configure hookify-list hookify-help

Loop & continuous: loop-start loop-status

ML: e2e launch

Learning: learn learn-eval

Cross-Platform Support

Platform	Manifest	Marketplace	Install
Claude Code	`.claude-plugin/plugin.json`	`.claude-plugin/marketplace.json`	`/plugin marketplace add noah-sheldon/ai-dev-kit`
Codex	`.codex-plugin/plugin.json`	`.agents/plugins/marketplace.json`	Plugin Directory (after clone)
Gemini CLI	`.gemini/gemini-extension.json`	`.gemini/GEMINI.md`	`gemini extensions link .`
OpenCode	`.opencode/opencode.json`	`.opencode/plugins/` (npm)	`npm install opencode-ai-dev-kit`
Copilot CLI	`.github-copilot/plugin.json`	`.github-copilot/marketplace.json`	`copilot plugin install noah-sheldon/ai-dev-kit:.github-copilot`
Qwen Code	`qwen-extension.json`	`.qwen/marketplace.json`	`qwen extensions install noah-sheldon/ai-dev-kit`
Cursor	`.cursor/`	—	Manual context pack

Core Principles

Agent-first — delegate domain work to the right specialist.
Test-driven — write tests before implementation when behavior changes.
Security-first — validate inputs, avoid unsafe defaults, never hardcode secrets.
Plan-before-execute — break complex work into phases with the planner.
Model fallback — if a requested model is unavailable, use the default and continue.

Workflow

Request → Planner → Architect → Domain Agents → AI-Judge → Implementation → Code Review → Security Review → Merge

Plan complex work with the planner agent before touching code.
Write tests first — use tdd-guide for RED/GREEN/REFACTOR discipline.
Implement with domain specialists (python-reviewer, ml-engineer, etc.).
Validate with ai-judge — rubric covers completeness, correctness, security, feasibility, testability.
Review with code-reviewer and security-reviewer before merge.
Ship with git-agent-coordinator for clean branch management.

MCP Servers (Optional)

MCP servers are not bundled with this kit to avoid corporate network/proxy issues. Add your own MCP servers as needed:

Server	Purpose
`github`	GitHub API access, PR management
`context7`	Live documentation lookup
`exa`	Neural web search
`memory`	Persistent memory across sessions
`playwright`	Browser automation & E2E testing
`sequential-thinking`	Step-by-step reasoning

Configure MCP servers in your own .mcp.json at the project root.

Requirements

Claude Code v2.1+ (hooks auto-load by convention)
Node.js 24+ LTS (for scripts and validation)
Git (for agent coordination and version control)

FAQ

Q: How do I adapt this for my project? Start from docs/examples/project-guidelines-template.md and customize the skills you need.

Q: What if a model is unavailable? Every agent has a fallback_model setting. If the specified model is down, it falls back to the workspace default.

Q: How do I validate everything is correct?

npm test                    # smoke tests
node scripts/validate-surface.js  # production surface check

Q: Can I install only certain skills? Yes — the kit supports selective install. Each skill is self-contained. Copy only what you need.

Q: How do I contribute? See CONTRIBUTING.md. Run npm test before submitting.

Docs

Document	Purpose
Catalog	Full inventory of all skills, agents, commands
Command-Agent Map	Which agent handles each command
Skill Development Guide	How to write new skills
Troubleshooting	Common issues and workarounds
Architecture Improvements	Design recommendations
Selective Install Design	How partial installs work
Session Adapter Contract	Session state specification

Security

Never hardcode secrets — use environment variables or secret managers.
Validate all external input at boundaries.
Prefer least privilege and explicit allowlists.
Review any change touching auth, secrets, or shell execution with security-reviewer.

See SECURITY.md for the full policy.

License

MIT — see LICENSE.

Author

Noah Sheldon — noahsheldon.dev