Skip to main content

summarize-google-docs

Reads internal documents and creates a summary.

Quellinformationen

Repository
warpdotdev/competitive-intelligence-agent-oss
Letzte Quellaktivität
8. Juli 2026 um 15:39
Erkannte Sprache von SKILL.md
Englisch
Sterne
3
Forks
1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
3 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
summarize_google_docs
description
Reads internal documents and creates a summary.
Use the provided python script to read recent google docs from the last 7 days and summarize the output. the required credentials are stored as an environment variable. Don't mention upcoming milestones or DRI's. Make note of important themes across the documents. if there are potential conflicts, also make note of that. ## After Completing Summary 1. **Save the report** to `reports/google_doc_summaries/google_doc_summary_YYYY-MM-DD.md`, then create a PR. Here are instructions for using the google docs python scripts: # Google Docs Service A Python service that connects to the Google Docs API and retrieves documents modified in the last week. ## Setup 1. **Install dependencies:** ```bash pip install -r requirements.txt ``` 2. **Run the service:** ```bash python google_docs_service.py ``` The credential to run the service can be found in the environment variable GOOGLE_OAUTH_TOKEN ## Usage ### Basic Usage ```python from google_docs_service import GoogleDocsService # Initialize service service = GoogleDocsService() # Get documents from last 7 days recent_docs = service.get_recent_documents(days=7) for doc in recent_docs: print(f"Document: {doc['name']}") print(f"Link: {doc['webViewLink']}") ``` ### Reading Document Content ```python # Get full document content document_content = service.get_document_content(document_id) # Extract plain text text = service.extract_text_from_document(document_content) print(text) ``` ### Custom Time Range ```python # Get documents from last 30 days recent_docs = service.get_recent_documents(days=30) ``` ## Features - OAuth2 authentication with token caching - Query documents modified within a specified time range - Fetch document metadata (name, ID, modified time, link) - Retrieve full document content - Extract plain text from documents ## Files - `google_docs_service.py` - Main service implementation - `requirements.txt` - Python dependencies ## API Scopes The service requests the following scopes: - `drive.readonly` - Read-only access to Drive files - `documents.readonly` - Read-only access to Google Docs ## Notes - The service uses UTC time for date calculations - Maximum 100 documents are returned per query (can be adjusted) - Documents are ordered by modification time (most recent first)
Auf GitHub ansehen