Feed Diet for Openclaw

Analyze and optimize your Hacker News and RSS consumption with AI-generated reports and personalized digests.

tkuehnl
v0.2.1
Feb 22, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install feed-diet

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install feed-diet using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Feed Diet?

Feed Diet is a powerful analytical tool designed to help developers and power users understand their information consumption patterns. By integrating with Openclaw Skills, it audits Hacker News accounts and OPML files to provide a visual breakdown of reading habits, category distributions, and recommendations for a more balanced digital diet. Whether you are looking to cut through the noise of daily news or find high-signal technical content, this skill transforms raw feed data into actionable insights through beautiful Markdown reports and ASCII visualizations.

Feed Diet Use Cases

  • Auditing Hacker News reading history to identify content silos.
  • Analyzing RSS feed subscriptions from an OPML file for category distribution.
  • Generating a weekly curated digest focused on specific technical goals like systems programming.
  • Receiving automated information diet summaries directly within Discord channels.
  • Discovering high-signal content recommendations based on current reading trends.

How Feed Diet Works

  1. The user provides a data source, such as a Hacker News username or a path to an OPML file.
  2. The skill fetches the raw content using specialized scripts like hn-fetch.sh or opml-parse.sh.
  3. Fetched items are processed through a classifier that uses LLM-based analysis or keyword matching to categorize content.
  4. The processed data is synthesized into a comprehensive Markdown report including ASCII charts and category breakdowns.
  5. For digest requests, the skill filters recent content against user-defined goals to provide a curated reading list.

Feed Diet Setup

To get started with Feed Diet, ensure your Openclaw Skills environment is configured. Install the skill and set up your API keys for enhanced classification:

export ANTHROPIC_API_KEY="your_key_here"
# Or use OpenAI
export OPENAI_API_KEY="your_key_here"

Basic usage command:

bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn YOUR_USERNAME

Feed Diet Data Schema & Taxonomy

Component Format Description
Raw Items JSONL Line-delimited JSON containing fetched story titles and URLs.
Classified Data JSONL Enhanced items with category tags and confidence scores.
Reports Markdown The final output featuring ASCII charts and recommendations.
OPML XML Input format for RSS feed subscriptions.

Feed Diet Advanced Features

  • Discord v2 Delivery Mode for compact, interactive summaries and quick actions.
  • Multi-model classification support with automatic fallback to keyword matching.
  • Goal-oriented Digest Mode for filtering content by specific technical interests.
  • Automated category breakdown with diversity scoring and surprising find detection.
  • Support for high-volume audits with adjustable item limits for deep historical analysis.

SKILL.md


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