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flow-refresh

Scan codebase changes and update AI context documents and indexes.

15|4|Updated Jan 20, 2026
Search Tags:#workflow#context#codebase#AI development#sync#refresh
One-click install
npx skills add https://github.com/cofin/flow --skill flow-refresh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flow-refresh
Source: https://github.com/cofin/flow/tree/main/templates/codex/skills/flow-refresh
Command: npx skills add https://github.com/cofin/flow --skill flow-refresh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that your AI's understanding of the project's codebase stays up-to-date with the latest changes, preventing outdated information from causing errors or inefficiencies.

Core Features & Use Cases

  • Codebase Scanning: Detects changes in directories, files, and dependencies.
  • Context File Updates: Rebuilds indexes and verifies tech stack and pattern validity.
  • Flow and Beads Synchronization: Updates active flows and synchronizes memory with the codebase.
  • Use Case: After a significant refactoring or adding new libraries, run this Skill to refresh the AI's context, ensuring it's working with the most current project state.

Quick Start

Run the flow-refresh skill to synchronize the codebase context.

Frequently Asked Questions about flow-refresh

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

FAQPage Schema
How do I sync AI context with my codebase after refactoring?▼

You can sync AI context by running a workflow that scans for file and dependency changes, rebuilds indexes, and verifies tech stack patterns to ensure memory accurately reflects the current codebase.

Why does my AI assistant have outdated codebase context during development?▼

AI context becomes outdated when new libraries or files are added without refreshing the context documents, which requires rescanning the codebase to rebuild indexes and validate patterns.

Do I need Git to refresh codebase context for AI development?▼

Yes, Git is required to perform codebase diffing and logging for accurate change detection during context synchronization. Package managers may also be needed for tech stack detection.

What is the best way to update technical stack information for an AI workflow?▼

The best way to update technical stack information is to run a context synchronization process that detects dependency changes via package managers, verifies pattern validity, and updates memory indexes.

Can I use context synchronization tools to rebuild indexes for large software engineering projects?▼

Yes, context synchronization tools can rebuild indexes for large software engineering projects by scanning directories and dependencies, ensuring active flows and memory accurately represent the evolving codebase.

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