Can I filter the firehose for specific types of activity?

Yes, the skill supports 'wantedCollections' and 'wantedDids' parameters, allowing you to subscribe only to specific events like posts, likes, follows, or specific users.

Does this skill help with data persistence?

Yes, it includes a comprehensive DuckDB schema for storing events with indexing, temporal versioning, and GF(3) balance checks for long-term data analysis.

What is the difference between Jetstream and the standard Bluesky firehose?

Jetstream translates the complex binary CBOR/CAR data of the standard ATProto firehose into simplified, easy-to-parse JSON over WebSockets, making it much more accessible for rapid prototyping.

How does the GF(3) Trit logic apply to this skill?

In this ecosystem, the -1 (MINUS) Trit signifies a validator/filter role. This skill acts as a constraint layer that validates and cleans incoming data before it enters the processing substrate.

Bluesky Jetstream Firehose

Name: Bluesky Jetstream Firehose
Author: plurigrid

byplurigrid

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Social Media Management

Connects to and filters real-time data from the Bluesky social network using the high-performance Jetstream JSON firehose.

About

This skill provides Claude with the capability to interface with Bluesky's Jetstream, a high-speed, JSON-based WebSocket stream of public network activity. It facilitates real-time monitoring of posts, likes, and follows, offering advanced filtering capabilities through GF(3) triadic logic and efficient data storage patterns. By simplifying the AT Protocol's complex binary streams into accessible JSON, it enables developers to build real-time analytics, moderation tools, and automated agents that respond to live Bluesky events with minimal latency.

Key Features

Advanced event filtering by NSID collections and specific user DIDs
Built-in logic for event validation and GF(3) trit assignment
Optimized DuckDB schema for persistent storage and temporal versioning
Support for zstd compression for high-bandwidth data efficiency
2 GitHub stars
Real-time WebSocket streaming of live Bluesky network activity

Use Cases

Building real-time sentiment analysis or trend tracking bots for the Bluesky network
Implementing automated moderation or notification systems for specific keywords and user groups
Archiving and indexing public social data into local databases for academic or commercial research

About

Key Features

Advanced event filtering by NSID collections and specific user DIDs
Built-in logic for event validation and GF(3) trit assignment
Optimized DuckDB schema for persistent storage and temporal versioning
Support for zstd compression for high-bandwidth data efficiency
2 GitHub stars
Real-time WebSocket streaming of live Bluesky network activity

Use Cases

Building real-time sentiment analysis or trend tracking bots for the Bluesky network
Implementing automated moderation or notification systems for specific keywords and user groups
Archiving and indexing public social data into local databases for academic or commercial research