gemini-search
Performs automatic web search using Gemini CLI with Google Search grounding. Triggers on "Gemini search:", "suche mit Gemini", "use Gemini to find". Claude writes a request file, the Watcher executes the search, Claude reads the result. FREE Gemini 2.5 Pro with 1000 requests/day.
When & Why to Use This Skill
This Claude skill enables fully automated web research by integrating the Gemini CLI with Google Search grounding. It bridges the gap between Claude and real-time internet data, allowing the agent to write search requests, trigger a local watcher, and ingest high-quality search results. Leveraging Gemini 2.5 Pro with a generous free tier of 1000 requests per day, it provides a robust solution for fetching up-to-date information directly into the Claude environment.
Use Cases
- Real-time Fact Checking: Verify current events, news, or statistics by performing live searches with Google Search grounding to ensure response accuracy.
- Market & Trend Analysis: Automate the gathering of the latest industry reports, competitor news, and market trends to synthesize up-to-date business intelligence.
- Technical Research: Retrieve the latest documentation, API changes, or library updates that occurred after Claude's last training cutoff.
- Automated Report Generation: Streamline workflows where Claude needs to search for multiple data points across the web to compile comprehensive research summaries.
| name | gemini-search |
|---|---|
| description | Performs automatic web search using Gemini CLI with Google Search grounding. Triggers on "Gemini search:", "suche mit Gemini", "use Gemini to find". Claude writes a request file, the Watcher executes the search, Claude reads the result. FREE Gemini 2.5 Pro with 1000 requests/day. |
Gemini Search Skill (Automatischer Workflow)
Vollautomatische Web-Recherche mit Gemini CLI und Google Search Grounding.
Workflow
Schritt 1: Request-Datei schreiben
Claude schreibt eine JSON-Datei nach:
X:\DEVELOPMENTS\gemini_search\requests\search.request.json
Inhalt:
{
"id": "unique-id",
"query": "Die Suchanfrage",
"format": "json"
}
Format-Optionen: "json" oder "md"
Schritt 2: Watcher verarbeitet automatisch
Der Watcher (muss im Hintergrund laufen!) erkennt die Datei und:
- Führt Gemini CLI aus
- Speichert Ergebnis in
results/gemini_result.json - Schreibt
results/ready.flagals Signal
Schritt 3: Auf Ergebnis warten
Claude prüft X:\DEVELOPMENTS\gemini_search\results\status.json:
"status": "idle"→ Watcher bereit, kein Request"status": "searching"→ Suche läuft, warten"status": "complete"→ Ergebnis bereit!"status": "error"→ Fehler aufgetreten
Schritt 4: Ergebnis lesen
Wenn status = complete, lies:
X:\DEVELOPMENTS\gemini_search\results\gemini_result.json
Wichtige Pfade
X:\DEVELOPMENTS\gemini_search\
├── requests\ ← Claude schreibt hier
│ └── search.request.json
├── results\ ← Claude liest hier
│ ├── gemini_result.json ← Suchergebnis
│ ├── gemini_result.md ← Markdown (falls format=md)
│ ├── status.json ← Aktueller Status
│ └── ready.flag ← Signal: Ergebnis bereit
├── gemini_watcher.py ← Hintergrund-Service
├── start_watcher.bat ← Watcher starten (sichtbar)
├── start_watcher_hidden.bat ← Watcher starten (unsichtbar)
└── watcher.log ← Log-Datei
Voraussetzungen
Watcher muss laufen! Starte einmalig:
X:\DEVELOPMENTS\gemini_search\start_watcher.batGemini CLI installiert und eingeloggt
Beispiel Request
{
"id": "search-20250102-143000",
"query": "Aktuelle Entwicklungen KI in der Schulbildung Deutschland 2025",
"format": "json"
}
Status-Datei Format
{
"status": "complete",
"query": "...",
"completed": "2025-01-02T14:30:45",
"request_id": "search-20250102-143000",
"result_file": "X:\\...\\gemini_result.json"
}
Timeout / Polling
- Claude sollte max 60 Sekunden auf Ergebnis warten
- Prüfe status.json alle 3-5 Sekunden
- Bei Timeout: User informieren, Watcher-Status prüfen