Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Email News Digest
Summarize recent emails, generate a thematic image, and send a formatted HTML email report with the summary and image. Use for daily news digests, project updates, or any email-based reporting that needs visual enhancement and rich formatting.
skill openclawclawhub Free
Summarize recent emails, generate a thematic image, and send a formatted HTML email report with the summary and image. Use for daily news digests, project updates, or any email-based reporting that needs visual enhancement and rich formatting.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/email-filters.md, references/html-template.html, scripts/process_and_send.sh, scripts/summarize_content.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- matthewxfz3
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Email News Digest
This skill automates the process of creating an AI-powered news digest from your recent emails, generating a relevant image, and sending a formatted HTML report.
Usage
To use this skill, run the process_and_send.sh script with the required parameters: skills/email-news-digest/scripts/process_and_send.sh \ --recipients "matthewxfz@gmail.com,salonigoel.ssc@gmail.com" \ --email-query "newer_than:2d subject:news" \ --image-prompt "A sharp, modern western style image representing AI growth, fierce competition, and diverse applications."
Parameters
--recipients: Comma-separated list of email addresses to send the digest to. --email-query: Gmail search query to filter recent emails (e.g., "newer_than:2d subject:AI"). See email-filters.md for more examples. --image-prompt: A descriptive prompt for the AI image generation.
How it Works
Email Retrieval: Fetches the most recent email matching your query. Content Summarization: Extracts content and generates a structured summary (TL;DR, main title, and sections) using an internal Python script. (Note: The summarization script currently uses a placeholder summary; future enhancements will integrate a full LLM for dynamic summarization.) Image Generation: Creates a thematic image using the nano-banana-pro skill based on your image-prompt. HTML Report Assembly: Constructs a dynamic HTML email body using a template, incorporating the summary and a reference to the generated image. Email Dispatch: Sends the formatted HTML email with the image as an attachment using gog gmail send, employing a robust Base64 encoding/decoding method to handle complex HTML content safely.
Summarization Standards
To ensure high-quality output, the summarization process within this skill adheres to the following standards: Key Insights & Trends: Prioritize extracting major announcements, significant developments, and overarching trends rather than mere factual recitations. Conciseness: The TL;DR should be 3-4 sentences, providing a quick overview. Detailed sections should elaborate succinctly. Accuracy & Fidelity: Summaries must faithfully represent the original content without introducing new information or distorting facts. Clarity & Professionalism: Use clear, straightforward, and professional language. Avoid jargon where simpler terms suffice. Bias Neutrality: Summaries should be objective, presenting information as-is without injecting personal opinions or biases.
Implementation Standards (Summarization Component)
Modularity: The summarization logic resides in scripts/summarize_content.py to ensure it's self-contained and easily upgradable. Input/Output: The script should accept raw email content (or extracted text) as input and output a structured JSON object containing the TL;DR, main title, and markdown-formatted sections. Future LLM Integration: The current Python script uses a placeholder. Future development will focus on integrating a robust Large Language Model (LLM) API (e.g., Gemini) to perform dynamic, context-aware summarization based on these standards.
References
email-filters.md: Provides examples of Gmail search operators. html-template.html: The HTML structure used for the email report.
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts1 Files
- SKILL.md
- references/email-filters.md
- scripts/process_and_send.sh
- scripts/summarize_content.py
- references/html-template.html