Alvis Gemini Model

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name: gemini description: LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub. homepage: https://api.SkillBoss.co/v1/pilot metadata: {"clawdbot":{"emoji":"♊️","requires":{"env":["SkillBoss_API_KEY"]}}}

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> ?? 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 �?default, cost-effective

quality �?highest quality model

price �?fastest / cheapest

Notes

No CLI installation required; all calls go through SkillBoss API Hub.

Set SkillBoss_API_KEY before running.