groq-reference-architecture
Implement Groq reference architecture with model routing, streaming pipelines, and fallbacks. Use when designing new Groq integrations, reviewing project structure, or establishing architecture standards for Groq applications. Trigger with phrases like "groq architecture", "groq best practices", "groq project structure", "how to organize groq", "groq design".
67
82%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%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 well-crafted skill description that clearly defines its scope around Groq reference architecture, lists concrete capabilities, and provides explicit trigger guidance with natural user phrases. It uses proper third-person voice and is concise without being vague. The description effectively distinguishes itself through domain-specific terminology.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'model routing', 'streaming pipelines', and 'fallbacks' as part of implementing a Groq reference architecture. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (implement Groq reference architecture with model routing, streaming pipelines, and fallbacks) and 'when' (designing new Groq integrations, reviewing project structure, establishing architecture standards) with explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Explicitly lists natural trigger phrases users would say: 'groq architecture', 'groq best practices', 'groq project structure', 'how to organize groq', 'groq design'. These cover a good range of natural user queries. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific 'Groq' domain focus combined with architecture-specific terms like 'model routing', 'streaming pipelines', and 'fallbacks'. Unlikely to conflict with other skills unless there are multiple Groq-related skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, highly actionable reference architecture skill with complete, executable TypeScript code for each component. Its main weaknesses are the monolithic structure (all code inline rather than split across referenced files matching the project structure) and the lack of validation/verification checkpoints between architectural steps. The specific model pricing and speed numbers are time-sensitive and risk becoming stale.
Suggestions
Add validation checkpoints between steps, e.g., 'Test the fallback chain by simulating a 429 response' or 'Verify cache hit/miss with a deterministic request before proceeding.'
Split the detailed model registry, middleware implementation, and fallback chain code into separate bundle files matching the project structure, keeping SKILL.md as a concise overview with references.
Move time-sensitive data (model pricing, tokens/sec, specific model IDs) into a separate models-reference.md that can be updated independently.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly comprehensive but includes some verbosity—the architecture diagram, while useful, is large, and the model registry includes specific pricing/speed numbers that may become stale. Some sections like the overview paragraph could be tighter. However, it mostly avoids explaining things Claude already knows. | 2 / 3 |
Actionability | Every step provides fully executable TypeScript code with proper imports, types, and complete implementations. The code is copy-paste ready with concrete model IDs, error handling patterns, and real SDK method calls. The integration patterns table and error handling table add practical reference value. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced (model registry → router → middleware → fallback → streaming), but there are no explicit validation checkpoints between steps. For an architecture involving rate limiting, caching, and multi-provider fallback, there should be verification steps (e.g., testing the fallback chain, validating cache behavior, confirming rate limit handling). | 2 / 3 |
Progressive Disclosure | The content is essentially monolithic—all code is inline in a single file with no bundle files to reference. The project structure section suggests a multi-file architecture but all implementation is dumped into SKILL.md. The integration patterns and error handling tables are well-organized, but the detailed model specs and full middleware implementation could be split into referenced files. | 2 / 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 |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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