menakod/skills

This repository is a small skill catalog for Gemini CLI rather than an application or library.

1. Top-level purpose

- The repo packages specialized “skills” that Gemini CLI can load or reference.

- Its architecture is documentation/prompt driven: the main deliverable is skill guidance, not executable code.

2. Repository root as entry point

- README.md is the public index.

- It introduces the collection and points users to the available skill(s), acting as the navigation layer for the repo.

3. Skill boundary

- code-explainer/ is a self-contained skill module.

- Each skill lives in its own directory, which creates a clear boundary for adding more skills later without mixing concerns.

4. Skill implementation artifact

- code-explainer/SKILL.md is the core definition for the Code Explainer skill.

- Based on the repo structure, the skill is likely represented as a structured Markdown spec or prompt rather than source code.

5. Functional role of the skill

- The Code Explainer skill is described as an expert programming tutor that explains code to beginners.

- Architecturally, this means the repo’s main “logic” is instructional behavior encoded in the skill document.

6. Data flow

- A user or CLI reads the root README to discover available skills.

- Gemini CLI then loads the relevant skill document from the skill directory.

- The skill content guides the model’s behavior when explaining code.

7. Extensibility model

- The layout suggests a plugin-like organization: one directory per skill, one skill file per capability.

- Adding new skills should not require changing existing skill definitions; the README is just the catalog.

8. Technology profile

- No runtime, build system, package manager, or external service is visible from the tree.

- The repository appears to rely on Markdown documentation and the Gemini CLI skill-loading convention.

9. Operational boundary

- There is no indication of application state, persistence, networking, or deployment infrastructure.

- The main operational concern is content maintenance: keeping skill instructions clear and discoverable.

10. Architectural takeaway for a diagram

- Diagram this as a documentation-driven skill repository with:

- a catalog/index layer at the root,

- isolated skill packages beneath it,

- and Gemini CLI as the consumer of those skill definitions.