developing-genkit-js
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
70
87%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description with excellent trigger terms and completeness, clearly specifying both what the skill does and when to use it. The main weakness is that the 'what' portion is somewhat high-level—it says 'develop AI-powered applications' rather than listing specific concrete actions like creating flows, defining tools, configuring model plugins, or debugging specific error patterns. The strong framework-specific terminology makes it highly distinctive.
Suggestions
Add more specific concrete actions to the capability description, e.g., 'Create and configure Genkit flows, define custom tools, set up model plugins, and debug runtime errors' instead of the general 'Develop AI-powered applications'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (AI-powered applications using Genkit in Node.js/TypeScript) and mentions some concepts (agents, flows, tools), but doesn't list specific concrete actions like 'create flows', 'define tools', 'configure models', or 'debug validation errors'. | 2 / 3 |
Completeness | Clearly answers both 'what' (develop AI-powered applications using Genkit in Node.js/TypeScript) and 'when' (explicit 'Use when' clause covering multiple trigger scenarios including asking about Genkit, AI agents, flows, tools, and encountering various error types). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms: 'Genkit', 'AI agents', 'flows', 'tools', 'JavaScript/TypeScript', 'Node.js', 'Genkit errors', 'validation issues', 'type errors', 'API problems'. These cover both the framework name and common user pain points. | 3 / 3 |
Distinctiveness Conflict Risk | Genkit is a specific framework, making this highly distinctive. The combination of 'Genkit' + 'Node.js/TypeScript' creates a clear niche that is unlikely to conflict with general AI development skills or other framework-specific skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill that provides clear, actionable guidance for Genkit development. Its strongest aspects are the executable Hello World example, concrete CLI commands, well-organized progressive disclosure to reference files, and a clear error-handling protocol. The main weakness is some redundancy in emphasizing the common-errors.md consultation requirement across multiple sections, which could be consolidated.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but has some redundancy — the error troubleshooting protocol repeats the instruction to read common-errors.md multiple times across sections (Error Troubleshooting Protocol, Development Workflow step 5, and step 4). The 'DO NOT' list and 'non-negotiable' language add emphasis but also bulk. The Hello World example is appropriately concise. | 2 / 3 |
Actionability | Provides a fully executable Hello World example with imports, initialization, and flow definition. CLI commands are concrete and copy-paste ready (e.g., `genkit docs:read js/flows.md`, `npx tsc --noEmit`, `npm install -g genkit-cli@^1.29.0`). The development workflow gives specific, actionable steps. | 3 / 3 |
Workflow Clarity | The development workflow is clearly sequenced (select provider → detect framework → follow best practices → ensure correctness → handle errors) with explicit validation checkpoints (run type checks, consult common errors). The error troubleshooting protocol has a clear mandatory-first-step sequence with a feedback loop (check common errors → match pattern → apply fix → only then consult other sources). | 3 / 3 |
Progressive Disclosure | Excellent structure with a concise overview in the main file and well-signaled one-level-deep references to five separate documents (best-practices.md, docs-and-cli.md, common-errors.md, setup.md, examples.md). The References section at the bottom provides clear navigation with brief descriptions of each linked file. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
metadata_field | 'metadata' should map string keys to string values | Warning |
Total | 9 / 11 Passed | |
- Repository
- firebase/agent-skills
- Commit
c3bb9d5
- Reviewed
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