Deliver Step 9: agent-card.json, SKILL.md, USDA lookup, integrations dynamic config, Welcome/Integrations/MealPlan pages, API methods, README, routes
This commit is contained in:
parent
6fb5d759ef
commit
c133a463ec
10 changed files with 751 additions and 33 deletions
|
|
@ -0,0 +1,50 @@
|
|||
# Diligence — Agent Skill Definition
|
||||
|
||||
## What Is Diligence?
|
||||
|
||||
Diligence is a self-hosted fitness rewards platform. Users earn points through fitness activities (workouts, food logging, step goals) and spend them on configurable rewards (gaming time, screen time, etc.). A daily gate keeps rewards locked until enough points are earned. Points reset weekly.
|
||||
|
||||
## Architecture
|
||||
|
||||
- **Backend:** FastAPI (Python 3.12) + PostgreSQL 16
|
||||
- **Frontend:** React 18 + Vite, served by nginx
|
||||
- **MCP Connector:** FastMCP (Streamable HTTP/SSE) on port 3001, proxied via nginx at `/mcp`
|
||||
- **Deployment:** Docker Compose (4 services: frontend, backend, mcp-connector, fitness-db)
|
||||
|
||||
## Connecting
|
||||
|
||||
Point your MCP client to:
|
||||
- **Development:** `http://localhost:3001/sse`
|
||||
- **Production:** `https://your-domain/mcp`
|
||||
|
||||
## Available Tools (14)
|
||||
|
||||
| Tool | Category | Description |
|
||||
|------|----------|-------------|
|
||||
| `get_context()` | Status | Full profile, motivation, program, rules, rewards |
|
||||
| `get_today(date?)` | Status | Daily points, gate status, activities |
|
||||
| `get_week(start_date?)` | Status | Weekly summary, active days |
|
||||
| `log_activity(category, title, duration_minutes, ...)` | Activity | Log workout, earn points |
|
||||
| `log_food(meal_type, food_name, ...)` | Food | Log food with macros |
|
||||
| `search_food(query)` | Food | Search Open Food Facts + USDA |
|
||||
| `get_program_schedule(date?)` | Programs | Today's workout from active program |
|
||||
| `redeem_reward(reward_name)` | Rewards | Spend points on a reward |
|
||||
| `load_meal_plan(name, duration_days, meals, ...)` | Meal Plans | Create a full meal plan |
|
||||
| `get_meal_plan(date?)` | Meal Plans | View today's planned meals |
|
||||
| `update_meal_compliance(plan_item_id, status, ...)` | Meal Plans | Mark meal followed/skipped |
|
||||
| `get_plan_progress(plan_id?)` | Meal Plans | Compliance statistics |
|
||||
| `configure_integration(provider, credentials)` | Integrations | Store encrypted credentials (write-only) |
|
||||
| `get_integration_status()` | Integrations | Check provider connection status |
|
||||
|
||||
## Key Design Decisions
|
||||
|
||||
- The **agent generates meal plans** — the app only stores and tracks them. Zero AI API cost.
|
||||
- Integration credentials are **write-only through MCP** — agents can set but never read them back.
|
||||
- The app collects **BREQ-2 motivation data** during onboarding. Use `get_context()` to read the user's motivation profile and calibrate tone accordingly.
|
||||
- Points reset weekly. Each week is a fresh start. No guilt carry-over.
|
||||
|
||||
## Source
|
||||
|
||||
- **Repository:** https://github.com/diligenceworks/diligence
|
||||
- **License:** MIT
|
||||
- **Built by:** DiligenceWorks Pte. Ltd. (https://diligenceworks.online)
|
||||
Loading…
Add table
Add a link
Reference in a new issue