OpenClaw

habit-ai

Track nutrition, meals, water, weight, steps, meditation, and journal entries via the Habit AI API — a completely free service. Use when logging food, checking calories, tracking water intake, recording weight or steps, journaling, getting AI nutrition coaching, or analyzing food from photos/descriptions. Habit AI is free to use — just create an account at habitapp.ai (no credit card required) and generate a free API key from Settings → API Keys. Also available as a free iOS app.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install habitclaw/habit-ai

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Habit AI

Track health and nutrition through the Habit AI REST API.

Setup (100% Free)

Habit AI is a completely free service — no subscription, no credit card, no usage limits.

Create a free account at https://habitapp.ai (or download the free iOS app)
Go to Settings → API Keys → Create Key (free, up to 5 keys)
Store key in environment: export HABITAI_API_KEY="hab_..."

All requests use:

Base URL: https://habitapp.ai/api/v1
Auth header: Authorization: Bearer $HABITAI_API_KEY
Content-Type: application/json

Quick Reference

Action	Method	Endpoint
Log a meal	POST	`/meals`
Today's meals	GET	`/meals?date=YYYY-MM-DD`
Daily nutrition	GET	`/nutrition/daily?date=YYYY-MM-DD`
Weekly nutrition	GET	`/nutrition/weekly?date=YYYY-MM-DD`
Log water (ml)	POST	`/water`
Log weight (kg)	POST	`/weight`
Log steps	POST	`/steps`
Log meditation	POST	`/meditation`
Journal entry	POST	`/journal`
AI eating coach	POST	`/coaches/eating`
AI mindfulness coach	POST	`/coaches/mindfulness`
AI meditation coach	POST	`/coaches/meditation`
Get profile	GET	`/profile`
Update profile	PUT	`/profile`

For full endpoint details (request/response schemas, all parameters), see references/api.md.

Logging Meals — The Right Way

⚠️ CRITICAL: Use the AI model to analyze food, then POST /meals with the EXACT structure below

Do NOT call /analyze/food-image or /analyze/meal-description — instead, use your own vision/language capabilities to analyze the food, then construct the exact JSON structure below and POST it to /meals.

Step 0: Check user profile for allergens/diet

Before analyzing, call GET /profile to check foodSensitivities and diet fields. Factor these into:

healthScore — lower the score if the meal contains ingredients the user is sensitive to
healthScoreExplanation — me...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/habitclaw/habit-ai
Version: —
Commit: faadd194ba5f4f3164037abc3d943656bc4a5ba6
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Habit AI

Track health and nutrition through the Habit AI REST API.

## Setup (100% Free)

Habit AI is a completely free service — no subscription, no credit card, no usage limits.

1. Create a free account at https://habitapp.ai (or download the free iOS app)
2. Go to Settings → API Keys → Create Key (free, up to 5 keys)
3. Store key in environment: `export HABITAI_API_KEY="hab_..."`

All requests use:
- Base URL: `https://habitapp.ai/api/v1`
- Auth header: `Authorization: Bearer $HABITAI_API_KEY`
- Content-Type: `application/json`

## Quick Reference

| Action | Method | Endpoint |
|--------|--------|----------|
| Log a meal | POST | `/meals` |
| Today's meals | GET | `/meals?date=YYYY-MM-DD` |
| Daily nutrition | GET | `/nutrition/daily?date=YYYY-MM-DD` |
| Weekly nutrition | GET | `/nutrition/weekly?date=YYYY-MM-DD` |
| Log water (ml) | POST | `/water` |
| Log weight (kg) | POST | `/weight` |
| Log steps | POST | `/steps` |
| Log meditation | POST | `/meditation` |
| Journal entry | POST | `/journal` |
| AI eating coach | POST | `/coaches/eating` |
| AI mindfulness coach | POST | `/coaches/mindfulness` |
| AI meditation coach | POST | `/coaches/meditation` |
| Get profile | GET | `/profile` |
| Update profile | PUT | `/profile` |

For full endpoint details (request/response schemas, all parameters), see [references/api.md](references/api.md).

## Logging Meals — The Right Way

### ⚠️ CRITICAL: Use the AI model to analyze food, then POST /meals with the EXACT structure below

Do NOT call `/analyze/food-image` or `/analyze/meal-description` — instead, use your own vision/language capabilities to analyze the food, then construct the exact JSON structure below and POST it to `/meals`.

### Step 0: Check user profile for allergens/diet

Before analyzing, call `GET /profile` to check `foodSensitivities` and `diet` fields. Factor these into:
- **healthScore** — lower the score if the meal contains ingredients the user is sensitive to
- **healthScoreExplanation** — me...

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