What technical indicators does it use to resume context?

It analyzes git logs, current diffs, file structures, and internal state ledgers to determine the current project trajectory and active story threads.

What is the Resume skill for Claude Code?

It is a specialized capability that helps the AI recognize and reconstruct its previous work state, intentions, and project narrative through a process called Pratyabhijñā.

When should I use the Resume skill?

Use it whenever you start a new session, return from a break, or feel the AI has lost track of the broader project goals and uncommitted work.

How does it differ from just reading logs?

Instead of just loading raw data, it synthesizes git status, diffs, and semantic intentions into a cohesive starting point, allowing the AI to 'become aware' of the work progress.

Context & Workflow Resume

Name: Context & Workflow Resume
Author: genomewalker

bygenomewalker

Productivity & Workflow

Restores coding momentum and project context by recognizing current work state and narrative threads.

About

This skill facilitates a seamless return to work by implementing the Pratyabhijñā (recognition) process, allowing Claude to reconstruct its internal state and project narrative. Instead of just loading data, it analyzes git history, uncommitted changes, and semantic intentions to help the AI 'remember' where it left off, what the immediate goals are, and the reasoning behind previous decisions. It is particularly useful for complex projects where maintaining a mental model across sessions is critical for productivity.

Key Features

Git-based state recognition via status, log, and diff analysis
Intent restoration to pick up ongoing goals instantly
Multi-layered analysis using intuition, analysis, and risk assessment
Semantic recall of directory structures and task types
Narrative continuation to bridge the gap between sessions
0 GitHub stars

Use Cases

Resuming a complex development task after a break or interruption
Synthesizing uncommitted changes into a clear action plan for the next session
Re-orienting the AI when switching between different feature branches

About

Key Features

Git-based state recognition via status, log, and diff analysis
Intent restoration to pick up ongoing goals instantly
Multi-layered analysis using intuition, analysis, and risk assessment
Semantic recall of directory structures and task types
Narrative continuation to bridge the gap between sessions
0 GitHub stars

Use Cases

Resuming a complex development task after a break or interruption
Synthesizing uncommitted changes into a clear action plan for the next session
Re-orienting the AI when switching between different feature branches