gcp-examples-expert
tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill gcp-examples-expertGenerate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns. Use when asked to "show ADK example" or "provide GCP starter kit". Trigger with relevant phrases based on skill purpose.
Validation
81%| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 13 / 16 Passed | |
Implementation
22%This skill is a generic template with no actual content specific to Google Cloud code generation. It completely fails to deliver on its stated purpose of providing ADK samples, Genkit templates, Vertex AI notebooks, or Gemini patterns. The skill body is essentially placeholder text that could be copy-pasted for any skill.
Suggestions
Add concrete, executable code examples showing how to access and use ADK samples, Genkit templates, and Vertex AI notebooks
Include specific commands or API calls for retrieving code from official Google Cloud repositories
Define clear trigger conditions and parameters specific to GCP code generation (e.g., 'when user asks for ADK agent example, provide X')
Add a workflow with validation steps for verifying generated code works with current GCP SDK versions
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is brief but entirely generic - it doesn't waste tokens on explanations Claude knows, but the tokens it does use provide no specific value for GCP/Google Cloud code generation. | 2 / 3 |
Actionability | Completely vague with no concrete code, commands, or specific guidance. Instructions like 'Invoke this skill when trigger conditions are met' and 'Provide necessary context' are abstract placeholders with zero executable content. | 1 / 3 |
Workflow Clarity | The 4-step process is generic boilerplate that could apply to any skill. No specific workflow for generating GCP code examples, no validation steps, no mention of how to access ADK samples, Genkit templates, or Vertex AI notebooks. | 1 / 3 |
Progressive Disclosure | References to external files (errors.md, examples.md) exist with one-level-deep structure, but the main content is so empty that the references are doing all the work - the skill body itself provides no useful overview. | 2 / 3 |
Total | 6 / 12 Passed |
Activation
67%The description adequately covers what the skill does and includes an explicit 'Use when' clause, which is good. However, the trigger terms are limited and the final sentence 'Trigger with relevant phrases based on skill purpose' is unhelpful meta-instruction that wastes space. The specificity could be improved by listing more concrete actions beyond just 'generate'.
Suggestions
Remove the vague 'Trigger with relevant phrases based on skill purpose' and replace with actual trigger terms like 'Google Cloud sample', 'GCP code example', 'Vertex notebook', 'Gemini code'
Add more specific actions beyond 'generate' such as 'adapts templates', 'configures authentication', or 'sets up project structure' to clarify concrete capabilities
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Google Cloud) and lists specific repositories (ADK samples, Genkit templates, Vertex AI notebooks, Gemini patterns), but 'Generate production-ready code examples' is somewhat vague about what concrete actions are performed beyond generation. | 2 / 3 |
Completeness | Clearly answers both what (generate production-ready Google Cloud code examples from official repositories) and when (explicit 'Use when' clause with example triggers like 'show ADK example' or 'provide GCP starter kit'). | 3 / 3 |
Trigger Term Quality | Includes some useful triggers like 'ADK example', 'GCP starter kit', and mentions specific products (Vertex AI, Gemini, Genkit), but the phrase 'Trigger with relevant phrases based on skill purpose' is meta-instruction rather than actual trigger terms, and common variations like 'Google Cloud sample', 'GCP code', or 'cloud function example' are missing. | 2 / 3 |
Distinctiveness Conflict Risk | Focuses on Google Cloud specifically which helps distinguish it, but 'code examples' and 'starter kit' could overlap with other code generation or template skills. The specific product names (ADK, Genkit, Vertex AI) help but aren't prominently positioned as primary triggers. | 2 / 3 |
Total | 9 / 12 Passed |
Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.