Byterover Skills

A collection of specialized Claude Code skills for enhanced knowledge management with Byterover MCP Server.

Overview

What is Byterover?

Byterover is an AI memory system that enables persistent knowledge storage and retrieval across conversations. It allows AI agents to:

• Store programming facts, patterns, and solutions
• Retrieve relevant context from past conversations
• Build cumulative knowledge over time
• Share knowledge across different projects

graph LR
    A[AI Conversations] -->|Store| B[Byterover Memory]
    B -->|Retrieve| C[Future Conversations]
    C -->|Store| B

What are Byterover Skills?

Skills extend Byterover's core capabilities with specialized workflows:

• Structured documentation generation (reports, PRDs, architecture docs)
• Bidirectional integrations (Notion, GitHub, etc.)
• Advanced knowledge synthesis (aggregation, formatting, analysis)
• Automated workflows for common knowledge management tasks

graph TB
    A[Byterover Core] --> B[byterover-notion-sync]
    A --> C[Future Skills]
    B --> D["Memories ↔ Notion"]
    C --> E[Meetings, GitHub, Code]

Installation

Prerequisites

1. Claude Code - Install from claude.ai/claude-code
2. Byterover MCP Server - Set up from byterover.dev
3. Notion MCP Server (optional) - Required for byterover-notion-sync (setup guide)

Installing Skills

Clone and copy skills to your Claude Code directory:

# Clone repository
git clone https://github.com/RyanNg1403/byterover-skills.git
cd byterover-skills

# Copy individual skill
cp -r byterover-notion-sync ~/.claude/skills/

# Or copy all skills
cp -r */ ~/.claude/skills/

Verify Installation

Start Claude Code and ask: "What Byterover skills are available?"

Skills

🔄 byterover-notion-sync

Bidirectional knowledge synchronization between Byterover memories and Notion documentation.

Core Capabilities:

• Transform memories → Notion documentation (4 formats: implementation reports, PRDs, feature docs, architecture docs)
• Import Notion pages → searchable memories with intelligent chunking
• Multi-query retrieval for comprehensive context
• Automatic format selection based on content

Architecture:

graph TB
    subgraph mem2notion["Memories → Notion"]
        A[Byterover Memories] -->|Multi-query| B[Aggregate Context]
        B -->|Format Selection| C{Document Type}
        C -->|Timeline-based| D[Implementation Report]
        C -->|Requirements| E[PRD]
        C -->|Usage Guide| F[Feature Docs]
        C -->|System Design| G[Architecture Docs]
        D --> H[Notion Page]
        E --> H
        F --> H
        G --> H
    end

    subgraph notion2mem["Notion → Memories"]
        I[Notion Page] -->|Fetch| J[Analyze Structure]
        J -->|Chunk| K[Logical Sections]
        K -->|Format| L[Memory Templates]
        L -->|Store| M[Byterover Memories]
    end

Example Use Cases:

"Create an implementation report on the auth system from July 10-15"
"Turn our notification discussions into a PRD"
"Document the microservices architecture"
"Import API documentation from Notion into memories"

Documentation:

• SKILL.md - Complete workflow guides
• references/ - Format templates and guidelines

Workflow Overview:

sequenceDiagram
    participant U as User
    participant C as Claude
    participant B as Byterover
    participant N as Notion

    Note over U,N: Memories to Notion
    U->>C: Create implementation report
    C->>B: Multi-query memories
    B-->>C: Aggregate results
    C->>C: Select format and structure
    C->>N: Create Notion page
    N-->>U: Return page link

    Note over U,N: Notion to Memories
    U->>C: Import Not

... [View full README on GitHub](https://github.com/RyanNg1403/byterover-skills#readme)