moderation-dev
について
このClaudeスキルは、開発者がËtridにおけるガバナンス提案のための自動モデレーションシステムを構築することを支援します。スパムや悪意のあるコンテンツを検出するNLP分類器を作成する機能を提供し、これらのフィルターをガバナンスパレットに直接統合できます。ブロックチェーンアプリケーション内で自動提案スクリーニングを実装する必要がある場合に、このスキルをご利用ください。
クイックインストール
Claude Code
推奨/plugin add https://github.com/EojEdred/Etridgit clone https://github.com/EojEdred/Etrid.git ~/.claude/skills/moderation-devこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
GitHub リポジトリ
関連スキル
governance-dev
開発This Claude Skill helps developers build governance systems for Ëtrid blockchain networks using Rust. It scaffolds governance pallets for Consensus Day, implements proposal registries with lifecycle management, and integrates vote dilution algorithms with weighting logic. Use this skill when you need to quickly implement on-chain governance features including proposal handling and distribution pay schedule execution.
subagent-driven-development
開発This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
huggingface-accelerate
開発HuggingFace Accelerate provides the simplest API for adding distributed training to PyTorch scripts with just 4 lines of code. It offers a unified interface for multiple distributed training frameworks like DeepSpeed, FSDP, and DDP while handling automatic device placement and mixed precision. This makes it ideal for developers who want to quickly scale their PyTorch training across multiple GPUs or nodes without complex configuration.
qmd
開発qmd is a local search and indexing CLI tool that enables developers to index and search through local files using hybrid search combining BM25, vector embeddings, and reranking. It supports both command-line usage and MCP (Model Context Protocol) mode for integration with Claude. The tool uses Ollama for embeddings and stores indexes locally, making it ideal for searching documentation or codebases directly from the terminal.
