Gemini Sub-Agent
VerifiedUse Google Gemini as a free sub-agent via a Google One / Gemini Advanced subscription (no API key or API credits needed). Use when: (1) delegating tasks that...
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# gemini-sub-agent
Use Google Gemini (via subscription, $0 API cost) as a sub-agent inside OpenClaw workflows.
Setup
Run once on a fresh machine: ```bash bash skills/gemini-sub-agent/scripts/setup.sh ```
- Then authenticate (headless VPS flow):
- On VPS: `gcloud auth application-default login --no-browser` → copy the `--remote-bootstrap` URL
- On laptop: `gcloud auth application-default login --remote-bootstrap="<URL>"` → copy the `localhost:8085` output
- Paste `localhost:8085` output back into VPS prompt
- Complete Gemini CLI OAuth: `GOOGLE_GENAI_USE_GCA=true gemini -p "hello"` → paste auth code
Credentials are cached indefinitely and auto-refresh.
Available Models
| Model | Use for | |---|---| | `gemini-3.1-pro-preview` | Default — latest flagship, best reasoning | | `gemini-2.5-pro` | Stable coding tasks, multi-file edits | | `gemini-3-flash-preview` | Fast summaries, quick Q&A | | `gemini-3-pro-preview` | Previous gen Pro, reliable fallback | | `gemini-2.5-flash` | Lightweight fallback |
Usage Patterns
1. Simple text task (exec) ```bash ask-gemini "your prompt here" ask-gemini -m gemini-2.5-pro "your prompt" ```
2. Pipe large content (long-context) ```bash cat large_file.txt | ask-gemini "summarize this in 5 bullets" cat report.md | ask-gemini "extract all action items" ```
3. Agentic coding (replaces Swift/Sonnet for 30-200 line tasks) ```bash cd /path/to/project GOOGLE_GENAI_USE_GCA=true gemini -m gemini-2.5-pro -y -p "write a script that..." ``` `-y` = yolo mode (auto-approves all file writes and shell commands). Gemini reads/writes files autonomously.
4. Pipe files directly into agentic session ```bash cat existing_script.py | GOOGLE_GENAI_USE_GCA=true gemini -m gemini-2.5-pro -y -p "refactor this to add error handling" ```
Routing Rules (when to use Gemini vs others)
| Task | Use | |---|---| | Text, analysis, summarization | `ask-gemini` | | Medium coding (30–200 lines) | Gemini agentic (`-y`) instead of Swift/Sonnet | | Large file / long-context | `ask-gemini` (1M token window) | | Web search / research | Research agent (Grok) — Gemini has no web access | | Multi-agent orchestration | OpenClaw native (sessions_spawn) | | Complex architecture / debugging | Codex (Opus) — escalate if Gemini fails twice |
Escalation
If Gemini returns wrong output twice on the same task → escalate to Swift (Sonnet) or Codex (Opus). Log the failure in `failures/hot_antipatterns.md` with the task type.
Scripts
- `scripts/setup.sh` — Full install: gemini-cli + gcloud + ask-gemini wrapper
- `scripts/ask-gemini` — The wrapper script itself (copy to `/usr/local/bin/`)
Use Cases
- Deploy Gemini as a sub-agent for specific tasks within a larger agent system
- Delegate specialized tasks like vision analysis or code review to Gemini
- Build multi-model architectures where Gemini handles specific capabilities
- Use Gemini as a cost-effective secondary agent for simpler tasks
- Implement cross-model verification by having Gemini review another model's output
Pros & Cons
Pros
- +Multi-model architecture leverages each model's strengths for different tasks
- +Sub-agent pattern enables cost optimization by routing tasks to appropriate models
- +Cross-model verification catches errors that single-model systems miss
Cons
- -Multi-model orchestration adds complexity to the agent system
- -Only available on claude-code and openclaw platforms
- -Requires managing API credentials and rate limits for multiple AI providers
FAQ
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