Embed AI context in code using codesyncer-* tags and log decisions to DECISIONS.md.
npx skills add https://github.com/bitjaru/codesyncer --skill codesyncer
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
CodeSyncer prevents AI from forgetting context between sessions by embedding memory directly in the code through codesyncer-* tags.
Tag your code with codesyncer-* tags during development to keep AI context persistent across sessions.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
Yes, the tagging system supports legacy claude-* tags. It allows you to maintain existing workflows while enforcing new tagging guidelines for AI context preservation.
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.
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.
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