stock-data-skill
OpenClaw Skill for stock data analysis
Use when generating speech from text (text-to-speech) via IMA Open API. Use for: voice synthesis, TTS,朗读, 语音合成, 配音, 有声内容. Output: audio URL (mp3/wav). Flow: query products → create task → poll until done. Requires IMA API key. This skill targets seed-tts-2.0 only (seed-tts-1.1 is not supported). Default model is seed-tts-2.0.
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 allenfancy-gan/ima-tts-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。
Call IMA Open API to create text-to-speech audio. Same flow as other IMA creation skills: query products → create task → poll until done. Task type is text_to_speech. This skill targets seed-tts-2.0 only — seed-tts-1.1 is not supported; the script defaults to seed-tts-2.0 when no model is specified.
This skill uses a bundled Python script scripts/ima_tts_create.py to call the IMA Open API:
https://api.imastudio.com
--user-id only locally for preference storageWhat gets sent to IMA: prompt (text to speak), model selection, parameters (e.g. voice_id, speed). Not sent: API key in prompt body; user_id is local only.
Use the bundled script:
# List available TTS models (optional; default is seed-tts-2.0)
python3 {baseDir}/scripts/ima_tts_create.py --api-key $IMA_API_KEY --list-models
# Generate speech (default model: seed-tts-2.0; omit --model-id to use default)
python3 {baseDir}/scripts/ima_tts_create.py \
--api-key $IMA_API_KEY \
--model-id seed-tts-2.0 \
--prompt "Text to be spoken here." \
--user-id {user_id} \
--output-json
Script outputs JSON; parse it for url and pass to the user via the UX protocol below.
Base URL: https://api.imastudio.com
| Header | Required | Value |
|---|---|---|
Authorization |
✅ | Bearer ima_your_api_key_here |
x-app-source |
✅ | ima_skills |
x_app_language |
recommended | en / zh |
You MUST call /open/v1/product/list with category=text_to_speech before creating any task. attribute_id is required; if 0 or missing → "Invalid product attribute" and task fails.
GET /open/v1...
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。
# IMA TTS (Text-to-Speech)
## Overview
Call IMA Open API to create **text-to-speech** audio. Same flow as other IMA creation skills: **query products → create task → poll until done**. Task type is `text_to_speech`. **This skill targets seed-tts-2.0 only** — seed-tts-1.1 is not supported; the script defaults to `seed-tts-2.0` when no model is specified.
## ⚙️ How This Skill Works
This skill uses a bundled Python script `scripts/ima_tts_create.py` to call the IMA Open API:
- Sends **text (prompt)** to `https://api.imastudio.com`
- Uses `--user-id` only locally for preference storage
- Returns an **audio URL** when synthesis is complete
- **Reflection mechanism**: on create failure, retries up to 3 times with parameter adjustments
**What gets sent to IMA:** prompt (text to speak), model selection, parameters (e.g. voice_id, speed). **Not sent:** API key in prompt body; user_id is local only.
### Agent Execution
Use the bundled script:
```bash
# List available TTS models (optional; default is seed-tts-2.0)
python3 {baseDir}/scripts/ima_tts_create.py --api-key $IMA_API_KEY --list-models
# Generate speech (default model: seed-tts-2.0; omit --model-id to use default)
python3 {baseDir}/scripts/ima_tts_create.py \
--api-key $IMA_API_KEY \
--model-id seed-tts-2.0 \
--prompt "Text to be spoken here." \
--user-id {user_id} \
--output-json
```
Script outputs JSON; parse it for `url` and pass to the user via the UX protocol below.
---
## Environment
Base URL: `https://api.imastudio.com`
| Header | Required | Value |
|--------|----------|-------|
| `Authorization` | ✅ | `Bearer ima_your_api_key_here` |
| `x-app-source` | ✅ | `ima_skills` |
| `x_app_language` | recommended | `en` / `zh` |
---
## ⚠️ MANDATORY: Always Query Product List First
You **MUST** call `/open/v1/product/list` with `category=text_to_speech` before creating any task. `attribute_id` is required; if 0 or missing → `"Invalid product attribute"` and task fails.
```python
GET /open/v1...OpenClaw Skill for stock data analysis
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⚠️ 重要声明