save

Convert an active conversation into a reusable YAML agent file.

155|24|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/workersio/spec --skill save-workersio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: save
Source: https://github.com/workersio/spec/tree/main/plugins/save/skills/save
Command: npx skills add https://github.com/workersio/spec --skill save-workersio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables preserving a conversation by turning it into a reusable agent file. It codifies user corrections, learned rules, and preferred patterns so future interactions can reuse the same guidance, reducing repetitive effort and ensuring consistent behavior.

Core Features & Use Cases

  • Extracts user corrections and rules from the session to generate a stable agent prompt.
  • Stores the resulting agent file under .claude/agents/ using the agent name as the filename.
  • Generalizes session insights so the agent can be reused across future tasks and conversations.

Quick Start

Invoke the save skill to generate and store a reusable agent file from the current session.

Frequently Asked Questions about save

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

FAQPage Schema
How do I turn a conversation into a reusable agent file?

To turn a conversation into a reusable agent file, invoke the save skill to extract user corrections and learned rules, then store the resulting self-contained prompt as a YAML file under .claude/agents/.

Can I preserve user corrections from a session for future Claude Code tasks?

Yes, you can preserve user corrections by converting the active session into a reusable agent file. This captures preferred patterns and learned rules so future interactions reuse the same guidance without repetitive effort.

What is the best way to create a YAML-based agent from an active session?

The best way to create a YAML-based agent from an active session is using an automation workflow that extracts session insights, generalizes them, and generates a frontmatter-driven agent file with minimal context dependencies.

Does generating a reusable agent require external dependencies or components?

No, generating a reusable agent requires no external dependencies or components. The process produces a self-contained prompt with a YAML-based structure that the subagent can execute independently.

When do I need to save a session as a reusable agent?

You need to save a session as a reusable agent when you want to ensure consistent behavior across future tasks and codify specific rules, reducing the need to repeatedly correct the assistant in new conversations.