Farcaster Digest

Curate high-signal Farcaster casts into an editorial digest.

Updated Jun 2, 2026

Search Tags:#automation #curation #editorial #social-media #digest #farcaster #signal-score

Ready to run

npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill farcaster-digest-atrium-hermes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Farcaster Digest
Source: https://github.com/Atrium-Hermes/atrium-lighthouse/tree/main/skills/farcaster-digest
Command: npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill farcaster-digest-atrium-hermes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Farcaster Digest consolidates scattered casts into a concise, signal-aware editorial digest, reducing manual monitoring and analysis time for social-content teams.

Core Features & Use Cases

Automated sourcing from topic queries, channel feeds, and trending signals to ensure a representative sample.
Deduplication and scoring to filter noise and surface high-quality contributions based on engagement signals.
Editorial formatting that clusters narratives into 2–3 themes and presents actionable insights for publication or distribution.

Quick Start

Configure the digest pipeline and run the workflow to fetch sources, deduplicate casts, score, cluster, and format the final digest.

Frequently Asked Questions about Farcaster Digest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate a Farcaster digest from channel feeds and trending casts?▼

To automate a Farcaster digest, configure the digest pipeline to fetch casts from channel feeds and trending signals. The workflow automatically deduplicates, scores, and clusters high-signal casts into an editorial format for publication.

How does cast scoring work to filter noise in Farcaster curation?▼

Cast scoring filters noise by evaluating engagement signals to surface high-quality contributions. This mechanism deduplicates redundant casts and ranks them based on their calculated signal score before clustering them into themes.

Can I consolidate multiple Farcaster topic queries into a single editorial summary?▼

Yes, you can consolidate multiple Farcaster topic queries into a single summary. The workflow handles multi-source retrieval to ensure a representative sample, then clusters the narratives into 2–3 actionable themes.

What is the best way to reduce manual monitoring time for Farcaster social media?▼

The best way to reduce manual monitoring time is using an automated curation workflow. It sources casts from queries and trending signals, applies de-duplication and scoring, and formats them into a concise, signal-aware digest.

How do I cluster Farcaster casts into thematic narratives for publication?▼

To cluster Farcaster casts into thematic narratives, the workflow applies editorial formatting after scoring and deduplication. It groups the retrieved casts into 2–3 focused themes and presents actionable insights for distribution.