Package and validate minimal skill manifests with frontmatter in CI pipelines.
npx skills add https://github.com/galligan/skills-packager --skill test-skill-galligan
Please help me install this Agent Skill. Skill: test-skill Source: https://github.com/galligan/skills-packager/tree/main/skills/test-skill Command: npx skills add https://github.com/galligan/skills-packager --skill test-skill-galligan
A lightweight, self-contained test Skill used to validate the skills-packager packaging workflow and metadata extraction.
Run the packager against this repository to confirm the skill is discovered and packaged without errors.
High-intent search queries and answers about installing and using this skill.
Validate skill metadata extraction in a CI pipeline by running a packager against a minimal test skill repository to verify discovery, metadata extraction, and zip packaging. This confirms the SKILL.md frontmatter provides the required name and description and that the body is loadable.
A minimal skill manifest in CI workflows serves as a lightweight, self-contained target to smoke-test packaging, zipping, and manifest generation. It verifies that the skills-packager correctly handles frontmatter and loadable Markdown bodies in a controlled environment.
The frontmatter required to package a skill manifest includes a name and a description. The skill must also contain a loadable Markdown body for activation to pass validation and be successfully discovered by the packager workflow.
Yes, the skills-packager workflow supports repositories with varied structures. You can apply the minimal test skill in CI pipelines to verify proper discovery, metadata extraction, and zip packaging across different repository layouts without errors.
Test zip packaging for skills without external dependencies by using a self-contained test skill with zero dependencies. Running the packager against this minimal repository confirms that zip generation and manifest validation occur without errors in an isolated environment.
lDuangGenerate skill.meta.json and registry fields from SKILL.md frontmatter.
forgivesam168Convert natural language descriptions into Excalidraw-compatible JSON diagram files.
ddobrinValidate codebase implementation against a defined plan via static analysis.
ollieb89Package Python libraries into wheels and sdists for PyPI publishing.
