What is the main benefit of Context Restore?

It eliminates the overhead of manually re-explaining project state to the AI by automatically gathering information from status files, Git history, and the filesystem.

Does it verify if the project is currently broken?

Yes, as part of the restore process, it can run npm tests, linting, and build commands to provide a clear picture of the project's stability before you start coding.

Does it require specific files to work?

Yes, it works best when paired with a STATUS.json file (typically created by session-capture) which stores metadata about current tasks and previous decisions.

How does it handle Git integration?

The skill runs Git commands to check the current branch, review the last 10 commits, and analyze uncommitted changes to understand the exact delta in the codebase.

When should I avoid using this skill?

Avoid using it for quick, standalone questions or when starting fresh on unrelated work, as the deep context scan adds unnecessary processing time for simple tasks.

Context Restore

Name: Context Restore
Author: jrc1883

byjrc1883

Productividad y Flujo de Trabajo

Restores full development context and mental models from previous sessions to ensure seamless project resumption.

Acerca de

Context Restore is designed to eliminate the 'cold start' problem when resuming work with Claude Code after a break. By parsing STATUS.json files, analyzing recent Git history, and reviewing key source files, the skill rebuilds a comprehensive mental model of the project's current state. This automated workflow ensures the AI understands not just what code was written, but the underlying decisions, pending tasks, and immediate priorities, allowing developers to jump back into complex features without manual re-explanation.

Características Principales

Generates a structured mental model summary for immediate task continuation
Performs deep file reviews of recently modified feature and test files
0 GitHub stars
Analyzes Git logs, status, and diffs to track recent codebase changes
Verifies project health through automated test, lint, and build checks
Parses STATUS.json for project metadata, focus areas, and key decisions

Casos de Uso

Resuming development on complex features after a long break or weekend
Re-syncing AI context after manual Git operations or external code changes
Switching between multiple active branches while maintaining task focus

Acerca de

Características Principales

Generates a structured mental model summary for immediate task continuation
Performs deep file reviews of recently modified feature and test files
0 GitHub stars
Analyzes Git logs, status, and diffs to track recent codebase changes
Verifies project health through automated test, lint, and build checks
Parses STATUS.json for project metadata, focus areas, and key decisions

Casos de Uso

Resuming development on complex features after a long break or weekend
Re-syncing AI context after manual Git operations or external code changes
Switching between multiple active branches while maintaining task focus