Skills gemini

LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/basillytton/alvis-gemini" ~/.claude/skills/openclaw-skills-gemini-94554e && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/basillytton/alvis-gemini" ~/.openclaw/skills/openclaw-skills-gemini-94554e && rm -rf "$T"
manifest: skills/basillytton/alvis-gemini/SKILL.md
source content

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.heybossai.com/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.heybossai.com/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.