What is Latent Chain Mode in Claude Code?

Latent Chain Mode is a specialized reasoning strategy that keeps detailed working states hidden while outputting only critical phase transitions and code changes, significantly reducing token consumption.

When is it mandatory to use the ccg-latent skill?

It is recommended for any task involving two or more steps, such as multi-file features, complex bug fixes, or any task where architectural analysis must precede implementation.

Does CCG Latent include automated code validation?

Yes, the workflow strictly enforces the use of 'guard_validate' and 'testing_run' tools after every patch to ensure that changes do not introduce regressions.

How does this skill save 70-80% on token usage?

It achieves these savings by using 'Context Deltas' which only transmit changes rather than repeating full file contents, and by following a structured, condensed output format.

CCG Latent Chain Mode

Name: CCG Latent Chain Mode
Author: phuongrealmax

byphuongrealmax

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생산성 및 워크플로

Optimizes multi-step development tasks through hidden-state reasoning and a structured 4-phase workflow to reduce token usage by up to 80%.

소개

CCG Latent is a high-efficiency development skill designed for Claude Code that enables sophisticated code refactoring and bug fixing while maintaining extreme token economy. By implementing a 'latent chain' reasoning process across four distinct phases—Analysis, Plan, Implementation, and Review—it allows Claude to handle complex, multi-file engineering tasks without hitting context limits. This skill is essential for large-scale repository management, utilizing delta-only updates and mandatory validation steps to ensure production-grade code changes with minimal overhead.

주요 기능

Structured 4-phase development workflow: Analysis, Plan, Implementation, and Review
Pre-configured quick flows for bug fixes, feature development, and code reviews
70-80% token reduction via latent-state reasoning and delta-only context updates
Precision code patching with unified diff support for multi-file refactors
Automated code validation and testing integration using Guard + Test protocols
1 GitHub stars

사용 사례

Complex bug fixes requiring deep analysis across multiple interconnected files
Large-scale codebase refactoring where maintaining context window efficiency is critical
Rigorous code audits and reviews that follow a structured, multi-step planning logic

소개

주요 기능

Structured 4-phase development workflow: Analysis, Plan, Implementation, and Review
Pre-configured quick flows for bug fixes, feature development, and code reviews
70-80% token reduction via latent-state reasoning and delta-only context updates
Precision code patching with unified diff support for multi-file refactors
Automated code validation and testing integration using Guard + Test protocols
1 GitHub stars

사용 사례

Complex bug fixes requiring deep analysis across multiple interconnected files
Large-scale codebase refactoring where maintaining context window efficiency is critical
Rigorous code audits and reviews that follow a structured, multi-step planning logic