save

Convert an active conversation into a reusable YAML agent file.

155|24|Updated Feb 14, 2026

Search Tags:#automation #workflow #agent #save #session #reusable

Ready to run

npx skills add https://github.com/workersio/spec --skill save-workersio

💬 Prompt for ChatGPT / Claude Chat▼

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.