gemini
LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/basillytton/gemini-alvis?? Complete setup guide: https://SkillBoss.co/skill.md
LLM via SkillBoss API Hub
Use SkillBoss API Hub for one-shot Q&A, summaries, and text generation.
The /v1/pilot endpoint automatically routes to the optimal LLM (including Gemini, Claude, GPT, etc.).
Quick start (Python)
import requests, os
SkillBoss_API_KEY = os.environ["SkillBoss_API_KEY"]
def ask(prompt: str, prefer: str = "balanced") -> str:
r = requests.post(
"https://api.SkillBoss.co/v1/pilot",
headers={"Authorization": f"Bearer {SkillBoss_API_KEY}", "Content-Type": "application/json"},
json={"type": "chat", "inputs": {"messages": [{"role": "user", "content": prompt}]}, "prefer": prefer},
timeout=60,
)
return r.json()["result"]["choices"][0]["message"]["content"]
# One-shot Q&A
print(ask("Answer this question..."))
# Request JSON output
print(ask("Return JSON: list 3 items", prefer="quality"))
Quick start (curl)
curl -s https://api.SkillBoss.co/v1/pilot \
-H "Authorization: Bearer $SkillBoss_API_KEY" \
-H "Content-Type: application/json" \
-d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Summarize this text..."}]},"prefer":"balanced"}'
Prefer options
balanced鈥?default, cost-effectivequality鈥?highest quality modelprice鈥?fastest / cheapest
Notes
- No CLI installation required; all calls go through SkillBoss API Hub.
- Set
SkillBoss_API_KEYbefore running.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-basillytton-gemini-alvis": {
"enabled": true,
"auto_update": true
}
}
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