This connects Claude to a fitness content automation stack built on a 3-layer architecture (directive, orchestration, execution). It exposes operations for AI-powered image generation via Grok, video editing through Shotstack and Creatomate APIs, Gmail monitoring for client communication, revenue analytics, and Twilio SMS notifications. The server pulls from a development sandbox that also houses interview prep and Amazon seller tools, sharing common utilities like Google API wrappers and analytics scripts. Reach for this when you need Claude to orchestrate fitness content workflows: generating workout visuals, editing video clips, tracking engagement metrics, or automating client outreach. Everything runs through deterministic Python scripts that Claude triggers based on SOPs defined in markdown directives.
Central development workspace for AI-powered automation assistants using the 3-Layer Architecture (Directive → Orchestration → Execution).
See PROJECT_INDEX.md for detailed file paths and switching between projects.
| Project | Status | Directory | Production URL |
|---|---|---|---|
| Fitness Influencer | Live | projects/fitness-influencer/ | Railway |
| Interview Prep | Live | interview-prep-pptx/ | Railway |
| Amazon Seller | Dev | projects/amazon-seller/ | - |
| Naples Weather | Dev | projects/naples-weather/ | - |
dev-sandbox/
├── projects/ # Individual AI assistant projects
│ ├── fitness-influencer/ # Fitness content automation
│ │ ├── src/ # Python scripts
│ │ ├── frontend/ # Web interface
│ │ └── README.md
│ ├── interview-prep/ # → symlink to interview-prep-pptx/
│ ├── amazon-seller/ # Amazon SP-API automation
│ │ └── src/
│ ├── naples-weather/ # Weather report generator
│ └── shared/ # Shared utilities across projects
│ ├── ai/ # AI services (Grok)
│ ├── google/ # Google APIs (Gmail, Sheets)
│ ├── analytics/ # Business analytics
│ └── communication/ # SMS, email
│
├── interview-prep-pptx/ # Railway-linked Interview Prep project
│ ├── src/
│ ├── frontend/
│ ├── Procfile
│ └── railway.json
│
├── execution/ # All execution scripts (skill access)
├── directives/ # SOPs in Markdown format
├── .claude/skills/ # Skill configurations
│
├── PROJECT_INDEX.md # Quick navigation guide
├── index.html # Main website homepage
├── setup_form.html # Fitness Influencer setup form
└── deploy_to_skills.py # Deployment pipeline
cd projects/fitness-influencer # Fitness Influencer
cd interview-prep-pptx # Interview Prep
cd projects/amazon-seller # Amazon Seller
| Project | Scripts | Frontend | Skill | Directive |
|---|---|---|---|---|
| Fitness | projects/fitness-influencer/src/ | projects/fitness-influencer/frontend/ | .claude/skills/fitness-influencer-operations/ | directives/fitness_influencer_operations.md |
| Interview | interview-prep-pptx/src/ | interview-prep-pptx/frontend/ | .claude/skills/interview-prep/ | directives/interview_prep.md |
| Amazon | projects/amazon-seller/src/ | TODO | .claude/skills/amazon-seller-operations/ | directives/amazon_seller_operations.md |
Common services used across projects (located in projects/shared/):
| Utility | Path | Used By |
|---|---|---|
| Grok AI Images | shared/ai/grok_image_gen.py | Fitness, Interview |
| Gmail Monitor | shared/google/gmail_monitor.py | Fitness, Amazon |
| Revenue Analytics | shared/analytics/revenue_analytics.py | Fitness, Amazon |
| Twilio SMS | shared/communication/twilio_sms.py | Fitness, Amazon |
cd interview-prep-pptx
railway up
railway domain
python deploy_to_skills.py --project fitness-influencer-operations
All projects share the root .env file:
# AI Services (All projects)
ANTHROPIC_API_KEY=xxx
XAI_API_KEY=xxx
# Google APIs (Fitness, Amazon)
GOOGLE_CREDENTIALS_PATH=credentials.json
# Amazon SP-API (Amazon only)
AMAZON_SELLER_ID=xxx
AMAZON_CLIENT_ID=xxx
AMAZON_CLIENT_SECRET=xxx
# Video Services (Fitness only)
SHOTSTACK_API_KEY=xxx
CREATOMATE_API_KEY=xxx
# Communication (Fitness, Amazon)
TWILIO_ACCOUNT_SID=xxx
TWILIO_AUTH_TOKEN=xxx
directives/) - SOPs defining what to doexecution/) - Deterministic Python scriptsprojects/{project}/src/ or interview-prep-pptx/src/cp {project}/src/*.py execution/.claude/skills/{skill-name}/SKILL.mddeploy_to_skills.pyWhen switching projects mid-session, just say:
projects/amazon-seller/projects/fitness-influencer/interview-prep-pptx/Features can be shared between projects using projects/shared/.
XAI_API_KEYxAI/Grok API key for image generation ($0.07/image)
GOOGLE_CREDENTIALS_PATHPath to Google OAuth credentials for Sheets analytics
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