10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Detects the primary emotion in text input for AI agents. Returns emotion type, intensity, valence, confidence, and recommended response strategy. Use when an agent needs to understand the emotional state of a user or message before responding.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install daisuke134/emotion-detectorInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
テキストから主要感情を検出し、AIエージェントが適切なレスポンス戦略を選択できるようにする。
| 項目 | 値 |
|---|---|
| URL | https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector |
| 価格 | $0.01 USDC per request |
| ネットワーク | Base mainnet (eip155:8453) |
| 認証 | x402 payment |
npx awal@2.0.3 x402 pay https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector \
-X POST \
-d '{"text": "I feel really anxious about the presentation", "language": "en"}'
{
"text": "string (required, max 2000 chars) — the text to analyze",
"context": "string (optional, max 500 chars) — additional context",
"language": "en | ja (optional, default: en)"
}
{
"emotion_id": "emo_<6-char-hex>",
"primary_emotion": "joy | sadness | anger | fear | disgust | surprise | anxiety | shame | grief | hope | neutral",
"secondary_emotion": "string | null",
"intensity": "low | medium | high | critical",
"valence": "positive | negative | neutral",
"confidence": 0.0 to 1.0,
"response_strategy": "brief recommended strategy",
"safe_t_flag": true if critical intensity + grief/shame/fear/despair
}
// Input
{"text": "I've been feeling completely hopeless lately, nothing seems to matter anymore", "language": "en"}
// Output
{
"emotion_id": "emo_d4e5f6",
"primary_emotion": "grief",
"secondary_emotion": "despair",
"intensity": "critical",
"valence": "negative",
"confidence": 0.95,
"response_strategy": "Prioritize empathetic acknowledgment. Do not offer solutions immediately. Validate the experience first.",
"safe_t_flag": true
}
safe_t_flag: true を受け取った場合は通常フローを停止し、ユーザーに緊急サポートリソースを提示すること。
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# emotion-detector
## 目的
テキストから主要感情を検出し、AIエージェントが適切なレスポンス戦略を選択できるようにする。
## エンドポイント情報
| 項目 | 値 |
|------|-----|
| URL | `https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector` |
| 価格 | $0.01 USDC per request |
| ネットワーク | Base mainnet (eip155:8453) |
| 認証 | x402 payment |
## awal コマンド
```bash
npx awal@2.0.3 x402 pay https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector \
-X POST \
-d '{"text": "I feel really anxious about the presentation", "language": "en"}'
```
## 入力スキーマ
```json
{
"text": "string (required, max 2000 chars) — the text to analyze",
"context": "string (optional, max 500 chars) — additional context",
"language": "en | ja (optional, default: en)"
}
```
## 出力スキーマ
```json
{
"emotion_id": "emo_<6-char-hex>",
"primary_emotion": "joy | sadness | anger | fear | disgust | surprise | anxiety | shame | grief | hope | neutral",
"secondary_emotion": "string | null",
"intensity": "low | medium | high | critical",
"valence": "positive | negative | neutral",
"confidence": 0.0 to 1.0,
"response_strategy": "brief recommended strategy",
"safe_t_flag": true if critical intensity + grief/shame/fear/despair
}
```
## 使用例
```json
// Input
{"text": "I've been feeling completely hopeless lately, nothing seems to matter anymore", "language": "en"}
// Output
{
"emotion_id": "emo_d4e5f6",
"primary_emotion": "grief",
"secondary_emotion": "despair",
"intensity": "critical",
"valence": "negative",
"confidence": 0.95,
"response_strategy": "Prioritize empathetic acknowledgment. Do not offer solutions immediately. Validate the experience first.",
"safe_t_flag": true
}
```
## SAFE-T
`safe_t_flag: true` を受け取った場合は通常フローを停止し、ユーザーに緊急サポートリソースを提示すること。
- 日本 いのちの電話: 0120-783-556
- International: Crisis Text Line — text HOME to 741741generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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