developing-genkit-dart
Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.
80
73%
Does it follow best practices?
Impact
93%
1.09xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/developing-genkit-dart/SKILL.mdQuality
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 that clearly identifies its niche (Genkit Dart SDK), includes an explicit 'Use when' clause with natural trigger terms, and is highly distinctive. The main weakness is that the 'what' portion could be more specific about the concrete actions it performs beyond the general 'generates code and provides documentation'.
Suggestions
Expand the capability list with more specific actions, e.g., 'Generates code for Genkit flows, configures model plugins, sets up tool definitions, and provides documentation for the Genkit Dart SDK.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Genkit Dart SDK) and two actions (generates code, provides documentation), but doesn't list more specific concrete actions like creating flows, configuring models, setting up plugins, etc. | 2 / 3 |
Completeness | Clearly answers both 'what' (generates code and provides documentation for Genkit Dart SDK) and 'when' (explicit 'Use when' clause covering building AI agents in Dart, using Genkit flows, or integrating LLMs into Dart/Flutter apps). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'AI agents', 'Dart', 'Genkit flows', 'LLMs', 'Dart/Flutter applications', 'Genkit Dart SDK'. These cover the key variations a user might mention. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: the combination of Genkit + Dart/Flutter + SDK-specific code generation is very specific and unlikely to conflict with other skills. The triggers are domain-specific enough to avoid false matches. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill excels at progressive disclosure with a well-structured hub pointing to detailed reference files for each plugin and the core framework. However, it lacks inline actionable code examples for common tasks (e.g., a quick-start snippet showing basic Genkit initialization and generation), and the workflow/best practices section is too thin to guide Claude through a complete development cycle. The content appears truncated (cuts off mid-sentence about schemantic prefix).
Suggestions
Add a Quick Start section with a minimal executable Dart code example showing Genkit initialization and a simple ai.generate call, so Claude has immediate actionable guidance without loading references.
Expand the Best Practices section into a clear workflow: e.g., 1) Initialize project with dependencies, 2) Write code, 3) Run `dart analyze` and fix errors, 4) Test with `genkit start -- dart run main.dart`, 5) Verify output in Genkit UI.
Fix the truncated content in the schemantic/External Dependencies section — it cuts off mid-sentence about the prefix, leaving incomplete guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with a clean table and clear reference structure, but includes some unnecessary phrasing like 'Genkit Dart is an AI SDK for Dart that provides a unified interface for code generation, structured outputs, tools, flows, and AI agents' and verbose descriptions in the plugin table's 'Description' column that repeat 'Load for' unnecessarily. The schemantic section is also somewhat wordy. | 2 / 3 |
Actionability | The CLI section provides concrete, executable installation and usage commands, which is good. However, the core features section and plugin ecosystem section delegate all actionable content to reference files without providing any inline code examples for common tasks like initializing Genkit or generating text. The skill itself mostly describes rather than instructs. | 2 / 3 |
Workflow Clarity | There's a mention of using `dart analyze` before generating final responses and using the Genkit CLI for development, but there's no clear multi-step workflow with validation checkpoints. For a skill involving code generation, a workflow like 'generate code → run dart analyze → fix errors → verify' would be more explicit. The best practices section is too brief to constitute a proper workflow. | 2 / 3 |
Progressive Disclosure | Excellent progressive disclosure structure: the SKILL.md serves as a clear overview/hub with well-organized, one-level-deep references to specific plugin docs and the core framework reference. The table format makes navigation easy, and each reference link has a clear description of when to load it. | 3 / 3 |
Total | 9 / 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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