groq-webhooks-events
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".
67
82%
Does it follow best practices?
Impact
—
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 niche at the intersection of Groq and event-driven/streaming architectures. It excels in all dimensions by providing specific capabilities, explicit trigger guidance with a 'Use when' clause and enumerated trigger phrases, and a distinctive scope that minimizes conflict risk with other skills.
| 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' qualifier on every trigger term makes it very 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 with Groq. Its main weaknesses are the lack of integrated validation/verification steps within the workflows (especially for batch processing) and the monolithic structure that could benefit from splitting detailed patterns into separate files. The error handling table is a nice touch but would be more effective if integrated into the workflow steps as checkpoints.
Suggestions
Add explicit validation checkpoints within the batch processing workflow (e.g., verify batch completion count, validate callback responses, handle partial failures with a retry-then-report pattern).
Consider splitting the detailed pattern implementations (Steps 2-5) into separate referenced files, keeping SKILL.md as a concise overview with the SSE example and links to each pattern's detailed guide.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with executable code examples, but includes some unnecessary context (e.g., explaining that 'Groq does not provide native webhooks', the Prerequisites section explaining SSE, and some comments that restate the obvious). The health monitor step feels like padding for a skill focused on event-driven architectures. | 2 / 3 |
Actionability | All code examples are fully executable, copy-paste ready TypeScript and Python with proper imports, concrete configurations (rate limits, concurrency settings), and real SDK usage. The examples cover complete patterns from endpoint setup to worker processing. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but there are no explicit validation checkpoints or feedback loops. For batch processing (a destructive/batch operation), there's no verify step after processing. The error handling table is helpful but separate from the workflow steps rather than integrated as validation checkpoints. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and a summary table, but it's quite long (~200 lines of code) with all patterns inline. The batch processing and webhook processor patterns could be split into separate reference files. The 'Next Steps' reference to 'groq-performance-tuning' is good but there are no bundle files to support progressive disclosure. | 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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