
ai-dev-kit
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.
Install with your AI
Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.
⚠ Unverified source (community-unclaimed, low activity) — reveal the prompt
⚠ Unverified source (community-unclaimed, low activity). Inspect the repo before letting your agent install it. Install and set up ai-dev-kit (claude-plugin project) into my current project. Found on https://claudeers.com/ai-dev-kit Repo: https://github.com/noah-sheldon/ai-dev-kit Homepage/docs: https://noahsheldon.dev Detected install method: claude-plugin → /plugin install ai-dev-kit@noah-sheldon/ai-dev-kit Category: devtools. Platforms: cli, api, web. Read the repo's README for exact setup and env vars, then install it and wire it into my project. Claudeers Health Verdict: dormant; community-verified: false. Confirm the source before running anything.
⚠ Unverified / not recently updated — review before pasting a run-this config.
/plugin marketplace add noah-sheldon/ai-dev-kit /plugin install ai-dev-kit@noah-sheldon/ai-dev-kit
git clone https://github.com/noah-sheldon/ai-dev-kit
// compatibility
| Platforms | cli, api, web |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | MIT |
| Pricing | open-source |
| Language | JavaScript |
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
planneragent before touching code. - Write tests first — use
tdd-guidefor 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-reviewerandsecurity-reviewerbefore merge. - Ship with
git-agent-coordinatorfor 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
// faq
What is ai-dev-kit?
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.. It is open-source on GitHub.
Is ai-dev-kit free to use?
ai-dev-kit is open-source under the MIT license, so it is free to use.
What category does ai-dev-kit belong to?
ai-dev-kit is listed under devtools in the Claudeers registry of Claude-compatible tools.
// embed badge
[](https://claudeers.com/ai-dev-kit)
// retro hit counter
[](https://claudeers.com/ai-dev-kit)
// reviews
// guestbook
// related in Developer Tools
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Curs…
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs,…