Build event-driven architectures with Groq streaming, batch processing, and async patterns. Use when setting up real-time SSE endpoints, batch processing pipelines, or event-driven LLM processing with Groq. Trigger with phrases like "groq streaming", "groq events", "groq SSE", "groq batch", "groq async", "groq event-driven".
84
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
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 strong skill description that clearly defines its scope around Groq-specific event-driven and streaming patterns. It excels in all dimensions by listing concrete capabilities, providing explicit trigger phrases, answering both what and when, and maintaining a distinct niche through the Groq-specific focus. The description is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'event-driven architectures', 'Groq streaming', 'batch processing', 'async patterns', 'real-time SSE endpoints', 'batch processing pipelines', 'event-driven LLM processing'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (build event-driven architectures with Groq streaming, batch processing, async patterns) and 'when' (explicit 'Use when' clause with specific scenarios plus a 'Trigger with phrases like' section). | 3 / 3 |
Trigger Term Quality | Explicitly lists natural trigger phrases users would say: 'groq streaming', 'groq events', 'groq SSE', 'groq batch', 'groq async', 'groq event-driven'. These cover common variations a user would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific combination of Groq + event-driven/streaming/SSE/batch patterns. The 'Groq' prefix on all trigger terms creates a clear niche unlikely to conflict with generic streaming or batch processing 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 skill with excellent executable code examples covering multiple event-driven patterns. Its main weaknesses are length (all patterns inline rather than progressively disclosed) and missing explicit validation/retry feedback loops in the workflow for batch and queue operations. The error handling table partially compensates but lacks the specificity of inline validation steps.
Suggestions
Extract the batch processing (BullMQ) and webhook processor patterns into separate reference files, keeping SKILL.md as a concise overview with quick-start examples and links to detailed patterns.
Add explicit validation/retry logic inline in the batch processing worker (e.g., try/catch with exponential backoff and max retries) rather than only mentioning it in the error handling table.
Remove or significantly trim the health monitor pattern—it's tangential to the core event-driven architecture focus and adds ~30 lines of code.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with executable code examples, but includes some unnecessary elements like the Prerequisites section explaining SSE understanding and the health monitor pattern which adds bulk. The overview paragraph explaining that 'Groq does not provide native webhooks' is useful context, but some patterns (health monitor) feel like padding. | 2 / 3 |
Actionability | Every pattern includes fully executable, copy-paste ready code with specific models, concrete configurations (concurrency limits, rate limiters), proper error handling, and real library usage. Both TypeScript and Python examples are complete and runnable. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but they function more as independent patterns than a connected workflow. There are no explicit validation checkpoints between steps—for batch processing involving queue operations, there's no verify/retry feedback loop documented beyond the error handling table's brief mention of 'retry with exponential backoff'. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and a summary table, but the skill is quite long (~200 lines of code) with all patterns inline. The batch processing and webhook processor patterns could be split into separate reference files, with SKILL.md providing a concise overview and links. The 'Next Steps' reference to groq-performance-tuning is good but minimal. | 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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Table of Contents
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