codesyncer

Embed AI context in code using codesyncer-* tags and log decisions to DECISIONS.md.

69|6|Updated Nov 12, 2025

Search Tags:#workflow #context #monitoring #ai #tagging #multirepo #codesyncer

Ready to run

npx skills add https://github.com/bitjaru/codesyncer --skill codesyncer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codesyncer
Source: https://github.com/bitjaru/codesyncer/tree/main
Command: npx skills add https://github.com/bitjaru/codesyncer --skill codesyncer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CodeSyncer prevents AI from forgetting context between sessions by embedding memory directly in the code through codesyncer-* tags.

Core Features & Use Cases

Always Add Tags: ensures inferences, decisions, rules, and context are recorded alongside code.
Auto-pause for critical topics: halts risky actions and prompts for user input before proceeding.
DECISIONS.md integration: automatically logs decisions and keeps a persistent trail across repos and sessions.

Quick Start

Tag your code with codesyncer-* tags during development to keep AI context persistent across sessions.

Frequently Asked Questions about codesyncer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I preserve AI context across coding sessions?▼

To preserve AI context across coding sessions, you can use an in-code tagging system to embed memory directly in the code. This ensures inferences and decisions are recorded alongside your work.

What is the best way to track cross-file decisions in a multi-repo setup?▼

Tracking cross-file decisions in a multi-repo setup is managed by enforcing tagging guidelines and writing persistent logs to DECISIONS.md. This maintains a continuous trail across repositories and sessions.

How do I prevent AI from forgetting previous decisions during development?▼

Preventing AI from forgetting decisions is achieved by embedding specific tags in the code during development. The system enforces tagging guidelines and optionally surfaces untagged changes for review.

Does this tagging system support legacy claude-* tags?▼

Yes, the tagging system supports legacy claude-* tags. It allows you to maintain existing workflows while enforcing new tagging guidelines for AI context preservation.

Can AI automatically pause for critical topics before making risky changes?▼

Yes, the system can auto-pause for critical topics to halt risky actions. It prompts for user input before proceeding, ensuring safety during long-running AI interactions.

How do I surface untagged code changes for review?▼

You can surface untagged changes for review by enabling the optional monitoring feature. This identifies code that lacks the required tags for tracking AI context and decisions.