Claude Plugins by Lando Labs
Production-ready plugins for Claude Code that extend AI-assisted development, agent management, and creative workflows.
Quick Start
Install individual plugins or add the entire marketplace to Claude Code.
# Install individual plugins
claude plugin install lando-labs/cami
claude plugin install lando-labs/aigile-dev
claude plugin install lando-labs/model-bridge
claude plugin install lando-labs/audit-kit
# Or install the entire marketplace
claude plugin add-marketplace lando-labs/claude-plugins
CAMI
Claude Agent Management Interface
CAMI is your scout for discovering, creating, and deploying Claude Code agents across projects. Think of it as a package manager for AI capabilities.
Agent Discovery
Find agents that match your project needs
Deployment
Deploy agents from sources (guilds) to your projects
Creation
Build new agents with guided architecture
Cross-Project Management
Track what's deployed where
Getting Started
You: hey cami
CAMI: Hey! I'm CAMI, your agent scout. I can help you:
• Find agents for your project
• Deploy agents from sources
• Create custom agents
What are you working on?Example: Finding Agents
You: I'm starting a new React + Node project. What agents would help?
CAMI: For a React + Node stack, I'd recommend:
Frontend:
• frontend-lead - UI architecture and component design
Backend:
• api-architect - API design and Node.js patterns
• data-modeler - Database schema design
Quality:
• qa-lead - Test strategy and coverage
Want me to deploy any of these?Commands
| Command | Description |
|---|---|
hey cami | Start a conversation with CAMI |
list agents | Show available agents |
deploy [agent] | Deploy an agent to current project |
create agent | Start the agent creation wizard |
list sources | Show configured agent sources |
AIgile Dev
AI-Native Agile Development
AIgile Dev brings structured agile workflows to AI-assisted development. Plan sprints, execute with specialized agents, validate with research, and ship with confidence.
Sprint Planning
Analyze issues, group by feature, target semantic versions
Full-Stack Agents
Specialized agents for each development discipline
Market Research
Validate ideas before building
Structured Close-out
Tests, tagging, releases
Sprint Workflow
You: plan my next sprint
AIgile: Analyzing your issues...
Sprint 1 (v0.4.0) - User Authentication
├── #23 Add login page
├── #24 JWT token handling
└── #25 Password reset flow
Sprint 2 (v0.5.0) - Dashboard
├── #30 Dashboard layout
└── #31 Analytics widgets
Ready to create the sprint manifest?Included Agents
Model Bridge
Expert Prompting for AI Media Generation
Model Bridge helps you craft effective prompts for image and video generation models. Learn the patterns and techniques that make each model perform its best.
Model-Specific Patterns
Optimized prompts for each model's architecture
Concrete Examples
Real prompts you can adapt
DO/DON'T Guidance
Learn what works and what doesn't
Educational Focus
Understand why prompts work
Supported Models
Local Models (Apple Silicon / MLX)
| Model | Strength | Speed |
|---|---|---|
| FLUX.1 | Text rendering, photorealism | 20-80s |
| SDXL | Fast iteration, LoRA ecosystem | ~8s |
| LTX Video | Camera movements, motion | ~17s |
Cloud Models (Google Vertex AI)
| Model | Strength | Requirement |
|---|---|---|
| Imagen 4 | Editorial compositions, spatial control | GCP + Vertex AI |
Example: FLUX Prompt
You: I need a product shot with the text "DAWN BREW" on coffee packaging
Model Bridge: Here's an optimized FLUX prompt:
Minimalist coffee packaging on marble surface, the text
"DAWN BREW" in elegant copper foil sans-serif typography
at center, steam rising from cup in soft focus background,
warm morning light from left, color #8B4513 brown and
#D4AF37 gold accents, commercial product photography
Key patterns used:
• Text in quotes for rendering
• HEX colors for precision
• Single style anchor (product photography)
• Lighting direction specifiedAudit Kit
Educational Codebase Auditing
Audit Kit provides agents that teach you how to assess codebases systematically. Rather than just running checks, these agents explain what they're looking for, why it matters, and how you can audit independently.
Philosophy: Learn to Audit
Each agent explains before acting, shows its methodology, and teaches the patterns. Build auditing skills you can apply independently.
Auditing Agents
security-auditor
Assesses security posture across five domains: secrets, configuration, dependencies, authentication, and data handling.
dependency-auditor
Assesses supply chain health: vulnerabilities, maintenance status, version currency, and transitive dependency risks.
codebase-auditor
Assesses project structure: directory organization, documentation, code grouping, testing, and infrastructure.
standards-auditor
Checks consistency: naming conventions, import organization, error handling patterns, and configuration.
Example: Security Audit
You: Run a security audit
Security Auditor: Starting security assessment...
METHODOLOGY
I'll check five domains:
1. Secrets - Exposed API keys, tokens, passwords
2. Configuration - Debug modes, permissive settings
3. Dependencies - Known vulnerabilities
4. Authentication - Session handling, token storage
5. Data Handling - Input validation, output encoding
FINDINGS
[CRITICAL] Exposed API Key
File: src/config/api.js:12
Pattern: STRIPE_SK_LIVE_... (masked)
Why this matters: API keys in source control
persist in git history even after removal...
Recommendation: Move to environment variables,
rotate the exposed key immediately.Severity Levels
| Level | Meaning | Response |
|---|---|---|
| Critical | Immediate risk | Fix now |
| High | Significant issue | Fix this week |
| Medium | Should address | Plan to fix |
| Low | Minor improvement | Consider fixing |
| Info | Observation | Good to know |