Does this skill support Model Context Protocol (MCP)?

Yes, it specifically includes patterns for 'say mcp', allowing it to discover and index interactions where Claude uses speech tools via MCP.

What is the role of GF(3) conservation?

It is a mathematical check where the sum of trits (assigned values of -1, 0, or +1) must be zero modulo 3. This ensures that the parallel merge of data sources remains compositionally coherent within the system's architecture.

What is a DuckLake in the context of this skill?

A DuckLake refers to a collection of DuckDB database files (.duckdb) acting as localized data sources that this skill scans and cross-references with command threads.

How does XOR uniqueness guarantee deterministic discovery?

The skill applies an XOR operation between a base seed and a bounded index (seed ⊕ i). Because XOR with distinct indices yields distinct results, every parallel operation is guaranteed a unique, reproducible identifier.

Parallel DuckLake XOR Discoverer

Name: Parallel DuckLake XOR Discoverer
Author: plurigrid

byplurigrid

•

数据库管理

Discovers and cross-references communication threads with DuckDB data sources using XOR-deterministic parallel operations.

The say-ducklake-xor skill provides a specialized discovery mechanism designed to link 'say' command usage and Model Context Protocol (MCP) interactions with DuckDB-based data lakes. By utilizing a unique XOR fan-out strategy based on a central seed, it enables maximally parallel execution with deterministic uniqueness guarantees and GF(3) mathematical conservation. This skill is ideal for developers and researchers working within the 'topological chemputer' framework who need to audit speech synthesis logs, verify data integrity between thread archives, and maintain reproducible discovery paths across multi-source database environments.

主要功能

01XOR-based deterministic uniqueness for parallel execution paths

02Cross-referencing of TTS and MCP 'say' commands with database records

032 GitHub stars

04Automated discovery of DuckDB sources across nested directory structures

05GF(3) trit conservation checks to ensure valid parallel merging

06Seamless integration with PigeonsGayBridge for SPI-guaranteed reproducibility

使用场景

01Maintaining deterministic parallel data discovery in complex topological computing environments

02Verifying synchronization between communication thread archives and bibliography databases

03Auditing speech synthesis and voice-command usage across large-scale local data lakes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi say-ducklake-xor

For use in Claude.ai and ChatGPT

Download Skill