Feature Implement
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.
Install
$ agentstack add skill-d-o-hub-rust-self-learning-memory-feature-implement ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Feature Implementation
Systematic approach to implementing new features in the Rust memory system.
Quick Reference
- [Process](process.md) - Implementation phases (planning, design, implementation, testing)
- [Structure](structure.md) - Module structure and file organization
- [Patterns](patterns.md) - Code patterns and conventions
- [Quality](quality.md) - 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
- Planning - Understand requirements and constraints
- Design - Architecture and module structure
- Implementation - Write code following patterns
- Testing - Add tests with >90% coverage
- Documentation - Update docs and examples
See [process.md](process.md) for detailed phases and [patterns.md](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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: d-o-hub
- Source: d-o-hub/rust-self-learning-memory
- License: MIT
- Homepage: https://d-o-hub.github.io/rust-self-learning-memory/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.