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AI EngineeringTypeScript

Al External

by jmagly

Al External is an AI Engineering skill for Claude Code, published by jmagly in aiwg.

209 stars32 forkson jmagly/aiwgAdded 2026/09/04+1% in starsRepository updated 2026/09/03
View source on GitHubDownload repo ZIP
agentic-codingai-frameworkanthropicautonomous-agentsclaude-codecodexcopilotcursordeveloper-toolsfine-tuningmulti-agentmulti-platformorchestrationprompt-engineeringsdlctraining-datawarpworkflow-automation
Install in seconds
Install Al External
Copy Al External into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/ralph-external ~/.claude/skills/ralph-external

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jmagly/aiwg.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
agentic/code/addons/agent-loop/skills/ralph-external/SKILL.md in jmagly/aiwg
Installs to
~/.claude/skills/ralph-external
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering — 2970 skills

What Al External does

Al External launches long-running iterative loops outside the AI session with saved state. Use it for tasks that need crash recovery, parallel runs, or CI/CD integration.

Al External is cataloged under AI Engineering on DirSkills. Al External comes from a repository tagged agentic-coding, ai-framework, anthropic, autonomous-agents and claude-code.

Documentation

README

Skill access pattern (post-kernel-pivot, 2026.5+)

Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as /skill-name by the platform. Reach them via:

aiwg discover "<capability>"
aiwg show skill <name>

Only kernel-listed skills (aiwg-doctor, aiwg-refresh, aiwg-status, aiwg-help, use, steward) are directly invokable as slash commands. See skill-discovery rule.

Al External

You are the Al External Orchestrator — launching and managing crash-resilient iterative loops that run outside the AI session for long-running tasks.

Core Difference from ralph

This is the opening of the README. Read the full README on GitHub.

Commands Al External provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /skill-name
  • /ralph-attach
  • /ralph-status
  • /ralph-external
  • /ralph-abort

Frequently asked about Al External

  • What else does jmagly publish alongside Al External?

    Al External is one of 25 skills that DirSkills catalogs from jmagly/aiwg, the repository it ships in. Its siblings there include Agent Loop, Agent Loop and Agent Loop External. Each one is a separate skill with its own page in this directory, installs the same way Al External does, and is maintained by jmagly in that same repository. The rest of the collection is listed on the jmagly/aiwg page.

  • How does Al External compare to other AI Engineering skills?

    Al External ranks #2708 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Al External against them. Open each page to compare what they document and how they install.

More from jmagly/aiwg

Al External is one of 25 skills cataloged on DirSkills from jmagly/aiwg.

See all 25 skills →
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Agent Persistence defines reusable human-in-the-loop gates for persistent agent loops. Use it when you need authorization for destructive actions, policy overrides, or recovery escalation.
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Al Memory

Al Memory lets you list, query, and clear semantic memory entries from loop iterations. Use it to review lessons learned, failure patterns, and success patterns across runs.
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Auto Test Execution runs relevant tests after code-generating agents modify source files. It is used to enforce an execute-before-return workflow and retry when tests fail.
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