session-to-agent

Convert session transcripts into reusable goal-seeking agents with memory.

8|4|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/rysweet/amplihack-rs --skill session-to-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-to-agent
Source: https://github.com/rysweet/amplihack-rs/tree/main/amplifier-bundle/skills/session-to-agent
Command: npx skills add https://github.com/rysweet/amplihack-rs --skill session-to-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Converts a manual session transcript into a reusable, memory-enabled agent that can repeat and automate common workflows.

Core Features & Use Cases

  • Extracts goals, constraints, tools, patterns, and domain knowledge from session transcripts.
  • Generates a complete agent prompt, execution plan, and optional memory export to seed the agent's knowledge.
  • Supports workflows such as security audits, code reviews, debugging, and infrastructure tasks by turning sessions into runnable agents.

Quick Start

Turn the current session transcript into a reusable, memory-enabled agent by running the generator.

Frequently Asked Questions about session-to-agent

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

FAQPage Schema
How do I turn a session transcript into a reusable agent?

Yes, you can automate code reviews and security audits by converting past session transcripts into goal-seeking agents. The agent extracts domain knowledge and patterns to repeat these specific workflows autonomously.

How does memory work when generating an agent from a session?

Memory is enabled by extracting domain knowledge from the session transcript to seed the agent. This creates an optional memory export that gives the generated goal-seeking agent context for future automated tasks.

Do I need any special dependencies to create autonomous agents from sessions?

No special dependencies are required to create autonomous agents from sessions. The generator operates independently to extract execution plans and prompts from transcripts, requiring only the session data itself to function.

What is the best way to automate debugging tasks using past sessions?

The best way to automate debugging tasks is to convert past debugging session transcripts into reusable agents. The system extracts the goals and patterns from the transcript to generate an agent capable of repeating the workflow.

What types of constraints can be extracted when converting a session to an agent?

When converting a session to an agent, the system extracts goals, constraints, tools, patterns, and domain knowledge. These elements are pulled directly from the session transcript to build a comprehensive prompt and execution plan.