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AEtherlight-ai AI Skills

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Browse published AI skills maintained by AEtherlight-ai. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

0

Repository forks

8

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

protect

AEtherlight-ai

Annotate passing code with protection levels (@protected/@immutable/@maintainable). Use when stabilizing working features to prevent regressions.

GitHub

initialize

AEtherlight-ai

Initialize ÆtherLight in a new repository. Sets up folder structure, Git workflow, configuration files, and development standards.

GitHub

validate-protection

AEtherlight-ai

Validate protection enforcement via pre-commit hooks. Use when building or testing code protection system (PROTECT-002).

GitHub

publish

AEtherlight-ai

Publish ÆtherLight releases to npm and GitHub. Use when the user wants to publish, release, or deploy a new version. Automatically handles version bumping, compilation, verification, and publishing.

GitHub

code-analyze

AEtherlight-ai

Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.

GitHub

publish

AEtherlight-ai

Publish ÆtherLight releases to npm and GitHub. Use when the user wants to publish, release, or deploy a new version. Automatically handles version bumping, compilation, verification, and publishing.

GitHub

protection-audit

AEtherlight-ai

Audit protected files, generate protection reports, and verify protection consistency. Use for protection system maintenance and compliance.

GitHub

sprint-plan

AEtherlight-ai

Create structured sprint plans with automated Git workflow. Generates TOML sprints, creates feature branches, and enforces proper development workflow.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.