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sue-skill-compatibility

Verify and repair SUE skill symlinks across Codex, Kimi, Claude Code, and GLM.

Updated Aug 27, 2026
Search Tags:#deepresearch#skill-invocation#experiment-workflow#sue-skill-compatibility#cross-cli-discovery#symlink-management#ai-cli-integration
One-click install
npx skills add https://github.com/dongzhuoyao/deepresearch --skill sue-skill-compatibility
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sue-skill-compatibility
Source: https://github.com/dongzhuoyao/deepresearch/tree/main/.codex/skills/sue-skill-compatibility
Command: npx skills add https://github.com/dongzhuoyao/deepresearch --skill sue-skill-compatibility

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When using DeepResearch SUE scale-up experiment skills, you may encounter "skill not found" errors or broken invocation when switching between AI CLI tools like Codex, Kimi, Claude Code, and GLM, which disrupts your experiment workflows. This Skill eliminates that friction by ensuring all canonical SUE skills are properly discoverable and invokable across every supported CLI.

Core Features & Use Cases

  • Cross-CLI Symlink Management: Creates and verifies symlink-only mirrors of canonical SUE skills under .kimi/skills/, .claude/skills/, and .glm/skills/ so they are discoverable in all supported AI CLIs.
  • Drift Detection and Repair: Identifies missing, broken, or wrong-target symlinks, as well as unauthorized global skill copies, and applies safe fixes to restore compatibility.
  • Use Case: When setting up a new DeepResearch workspace or onboarding team members to use SUE skills with their preferred AI CLI, run this Skill to guarantee consistent skill access without manual symlink configuration.

Quick Start

Use the sue-skill-compatibility skill to check and fix symlinks so all SUE scale-up experiment skills are discoverable and invokable across Codex, Kimi, Claude Code, and GLM for your current workspace.

Frequently Asked Questions about sue-skill-compatibility

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

FAQPage Schema
Why do I get skill not found errors when switching between AI CLIs like Claude Code and Kimi?▼

Skill not found errors occur because AI CLIs maintain separate skill discovery directories. This Skill resolves the inconsistency by creating symlink-only mirrors of canonical SUE skills across .kimi/skills/, .claude/skills/, and .glm/skills/ directories so they are discoverable and invokable in all supported environments.

How do I make DeepResearch SUE skills discoverable across multiple AI CLI tools?▼

To make SUE skills discoverable across multiple AI CLIs, you run a compatibility audit that verifies canonical sources and injects skill directories for non-interactive sessions. This Skill automates that process by maintaining symlink-only mirrors under the specific .kimi, .claude, and .glm folder paths.

Does this Skill support finding broken symlinks and repairing skill drift in AI workspaces?▼

Yes, this Skill detects drift by identifying missing, broken, or wrong-target symlinks alongside unauthorized global skill copies. It applies safe fixes to restore compatibility, ensuring consistent SUE scale-up experiment skill access without manual symlink configuration or workspace corruption.

What is the best way to onboard a team to use SUE skills with their preferred AI CLI?▼

The best way to onboard a team is to run this compatibility Skill during workspace initialization. It guarantees consistent SUE skill access across Codex, Kimi, Claude Code, and GLM by automatically verifying canonical sources and maintaining symlink-only mirrors for every supported CLI.

Can I use SUE scale-up experiment skills in remote sandbox environments with non-interactive CLI sessions?▼

Yes, you can use SUE skills in remote sandbox environments by validating skill directory injection for non-interactive CLI sessions. This Skill ensures canonical sources are verified and symlinked correctly so invocation works without manual intervention across local and remote setups.

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