bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generate an Arknights operator agent based on gacha probabilities. Use when user wants to create a random Arknights character agent with authentic lore and personality.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install hg-hg/arknights-operator-gachaExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Generate a random Arknights operator agent with authentic lore-based personality.
This skill uses a worker script + LLM generation architecture:
gacha_worker.py): Executes all deterministic tasks (roll, fetch, create, download)CRITICAL: Detect user language from their gacha command:
Store detected language and use it for ALL subsequent steps (SOUL.md writing, spawn task, etc.).
Run the deterministic worker:
result = exec(
"python3 ~/.openclaw/workspace/skills/arknights-operator-gacha/scripts/gacha_worker.py",
timeout=120
)
Worker performs:
https://arknights.fandom.com/wiki/Operator/{N}-star
mrfz-wtable table to extract operator info{operator_name: {"avatar_url": "...", "detail_url": "..."}}
openclaw agents add
Worker output format:
{
"success": true,
"stars": 6,
"operator": {
"en_name": "Lin",
"cn_name": "林",
"avatar_url": "https://static.wikia.nocookie.net/.../Lin_icon.png",
"en_detail_url": "https://arknights.fandom.com/wiki/Lin",
"cn_detail_url": "https://prts.wiki/w/%E6%9E%97"
},
"agent_name": "lin",
"workspace": "~/.openclaw/workspace-lin",
"duplicate...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Arknights Operator Gacha
Generate a random Arknights operator agent with authentic lore-based personality.
## Architecture
This skill uses a **worker script + LLM generation** architecture:
1. **Worker script** (`gacha_worker.py`): Executes all deterministic tasks (roll, fetch, create, download)
2. **LLM (this agent)**: Generates creative content (SOUL.md) and spawns operator
## Language Detection
**CRITICAL:** Detect user language from their gacha command:
- If command is in **Chinese** (e.g., "抽卡", "召唤干员") → **cn** / **zh**
- If command is in **English** (e.g., "gacha", "pull") → **en**
Store detected language and use it for ALL subsequent steps (SOUL.md writing, spawn task, etc.).
## Workflow
### Step 1: Execute Worker Script
Run the deterministic worker:
```python
result = exec(
"python3 ~/.openclaw/workspace/skills/arknights-operator-gacha/scripts/gacha_worker.py",
timeout=120
)
```
**Worker performs:**
1. Roll star rating (1-100)
2. Fetch operator list from `https://arknights.fandom.com/wiki/Operator/{N}-star`
- Parses the `mrfz-wtable` table to extract operator info
- Returns a dict: `{operator_name: {"avatar_url": "...", "detail_url": "..."}}`
3. Randomly select operator (with avatar and detail URLs)
4. Fetch Chinese name from Fandom page (data-source="cnname")
5. Check for duplicates (auto re-roll if exists)
6. Create agent via `openclaw agents add`
7. Create template IDENTITY.md (bilingual)
8. **Download avatar** (using URL from step 2, with domain whitelist and validation)
9. Git commit initial files
10. **Output JSON to stdout**
**Worker output format:**
```json
{
"success": true,
"stars": 6,
"operator": {
"en_name": "Lin",
"cn_name": "林",
"avatar_url": "https://static.wikia.nocookie.net/.../Lin_icon.png",
"en_detail_url": "https://arknights.fandom.com/wiki/Lin",
"cn_detail_url": "https://prts.wiki/w/%E6%9E%97"
},
"agent_name": "lin",
"workspace": "~/.openclaw/workspace-lin",
"duplicate...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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