semantic-locking

Enforce symbol-level locking for multi-agent parallel code edits.

Updated Mar 15, 2026

Search Tags:#concurrency #locks #deadlock #orchestrator #engram #semantic-locking #symbol-lock

Ready to run

npx skills add https://github.com/JNZader/javi-ai --skill semantic-locking

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: semantic-locking
Source: https://github.com/JNZader/javi-ai/tree/main/own/skills/semantic-locking
Command: npx skills add https://github.com/JNZader/javi-ai --skill semantic-locking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Fine-grained symbol-level locking for multi-agent parallel edits, replacing coarse file isolation with symbol-based protection to prevent conflicting changes and ensure deterministic collaboration.

Core Features & Use Cases

Symbol-level locks stored in an engram for cross-agent visibility.
TTL-based lock lifecycle with conflict detection and deadlock handling.
Orchestrator-centric enforcement with prompts/templates to guide sub-agents.
Safe parallel work on different symbols within the same file, with predictable cleanup.

Quick Start

Enable semantic locking in your parallel apply workflow to begin declaring symbol locks and enforcing conflict checks.

Frequently Asked Questions about semantic-locking

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

FAQPage Schema

How do I prevent conflicts when multiple agents edit the same file concurrently?▼

Symbol-level locking prevents conflicts in multi-agent code edits by enforcing exclusive access to specific functions or classes via an engram-based protocol with TTL lifecycle and deadlock resolution. This allows safe parallel work on distinct symbols within the same file.

What is the best way to handle deadlocks in parallel multi-agent code editing workflows?▼

Deadlock resolution in parallel multi-agent workflows is handled by an orchestrator-centric protocol that manages symbol-level locks with TTL-based lifecycles. The orchestrator enforces conflict detection and handles deadlocks to ensure deterministic collaboration across sub-agents.

How does symbol locking work for concurrent code modifications across different agents?▼

Symbol locking works by storing fine-grained locks in an engram for cross-agent visibility, replacing coarse file isolation. An orchestrator enforces these TTL-based locks to grant sub-agents exclusive edit access to specific functions, classes, or methods.

Can multiple agents safely modify different functions within the same file in parallel?▼

Multiple agents can safely modify different functions within the same file by using fine-grained symbol-level locks. The engram-based protocol ensures cross-agent visibility and predictable cleanup, allowing parallel edits on distinct symbols without conflicting changes.

Do I need an orchestrator to manage semantic locks for sub-agents?▼

Yes, an orchestrator is required to manage semantic locks. The protocol relies on orchestrator-centric enforcement, utilizing prompt templates to guide sub-agents and handling TTL-based lock lifecycles, conflict detection, and deadlock resolution.

When should I use fine-grained symbol locking instead of coarse file isolation?▼

Use fine-grained symbol locking instead of coarse file isolation when multiple agents need to edit different functions, classes, or methods within the same file concurrently. This approach provides deterministic collaboration and predictable cleanup for complex parallel edit scenarios.