An agentic feed digest tool that leverages the feed CLI to fetch, triage, and summarize high-signal RSS, Atom, and JSON posts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feed-digest
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install feed-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The RSS Digest skill transforms how you consume information by delegating the heavy lifting of feed management to an AI agent. By integrating with the feed CLI, it allows for a streamlined workflow where the agent fetches the latest updates, identifies high-signal content based on specific technical interests, and provides concise summaries.
This skill is a core part of the Openclaw Skills ecosystem, designed to reduce noise and help developers stay informed without information overload. It ensures you only read what truly matters by providing full-text Markdown access and efficient batch processing of your subscriptions.
feed fetch to synchronize all configured RSS, Atom, and JSON feeds with the local database.feed get entries to evaluate titles, sources, and summaries.feed get entry command.To use this skill, you must have the feed CLI installed on your system. You can install it using Homebrew or Go:
# Install via Homebrew
brew install odysseus0/tap/feed
# Or install via Go
go install github.com/odysseus0/feed/cmd/feed@latest
Once installed, ensure the binary is in your PATH so it can be accessed by Openclaw Skills.
The skill interacts with a local database managed by the feed CLI. Data is organized and accessed through the following structures:
| Component | Description |
|---|---|
| Entries | Individual posts containing unique IDs, titles, feed sources, and summaries. |
| Feeds | Metadata for each subscription, including unread counts and feed-specific IDs. |
| Markdown | Full-text content retrieved for deep analysis and summarization tasks. |
| Stats | Database-level statistics regarding the volume of stored and unread items. |
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