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d-o-hub

feature-implement

by d-o-hub

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

3🍴 0📅 Jan 23, 2026

SKILL.md


name: feature-implement description: Systematic approach to implementing new features in the Rust memory system following project conventions. Use when adding new functionality with proper testing and documentation, maintaining code quality and test coverage.

Feature Implementation

Systematic approach to implementing new features in the Rust memory system.

Quick Reference

  • Process - Implementation phases (planning, design, implementation, testing)
  • Structure - Module structure and file organization
  • Patterns - Code patterns and conventions
  • Quality - Quality standards and checklists

When to Use

  • Adding new functionality to the codebase
  • Following project conventions for feature development
  • Maintaining code quality and test coverage

Core Process

  1. Planning - Understand requirements and constraints
  2. Design - Architecture and module structure
  3. Implementation - Write code following patterns
  4. Testing - Add tests with >90% coverage
  5. Documentation - Update docs and examples

See process.md for detailed phases and patterns.md for Rust code patterns.

Project Standards

  • File size: ≤ 500 LOC per file
  • Async/Tokio patterns for I/O
  • Error handling: anyhow::Result
  • Storage: Turso (durable) + redb (cache)
  • Serialization: postcard

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

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