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xlnn

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@xlnn

2Followers
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84Public Repos
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6Published Skills

xlnn maintains Codex extension skills covering code review, skill and plugin scaffolding, skill installation, OpenAI documentation lookup, and bitmap image generation.

Skills Distribution
DomainDeveloper To...Developer Tooling .. (50%)AI Models & Machin.. (30%)UI/UX & Creative M.. (20%)

Agent Skills by xlnn

Showing 6 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About xlnn

FAQPage Schema
What tasks can I accomplish using xlnn's skills?

You can run defect-first reviews of code changes, create or update Codex skills, scaffold Codex plugins with marketplace entries, install curated or GitHub-hosted skills into $CODEX_HOME/skills, query official OpenAI documentation with citations, and generate or edit raster images.

Who are xlnn's skills designed for?

They target developers working inside the Codex environment: engineers delegating code review to another agent, authors building or updating skills and plugins, and users who need current OpenAI documentation or AI-generated bitmap visuals during development.

How do I install xlnn's skills?

Use the skill-installer skill, which installs curated skills or skills from a GitHub repo path (including private repos) into $CODEX_HOME/skills. It also supports listing installable skills from the openai/skills curated collection before installing.

What prerequisites do xlnn's skills require?

The skills assume a Codex environment with $CODEX_HOME configured. Plugin development uses the CLI-driven cachebuster and reinstall flow, and openai-docs relies on OpenAI docs MCP tools with fallback browsing restricted to official OpenAI domains.

When should I use the imagegen skill versus editing code-native assets?

Use imagegen when the task needs a new or transformed bitmap such as a photo, illustration, texture, sprite, mockup, or transparent cutout. Avoid it when editing existing SVG/vector assets, extending an icon or logo system, or building visuals directly in HTML/CSS/canvas.