Implements real-time WebSocket communication with connection management, room-based messaging, and horizontal scaling. Use when building chat systems, live notifications, collaborative tools, or real-time dashboards.
89
86%
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 communicates specific capabilities (WebSocket communication, connection management, room-based messaging, horizontal scaling) and provides explicit trigger guidance via a 'Use when' clause with natural user-facing terms. It uses proper third-person voice and is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'real-time WebSocket communication', 'connection management', 'room-based messaging', and 'horizontal scaling'. These are distinct, concrete capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (implements WebSocket communication with connection management, room-based messaging, horizontal scaling) and 'when' (explicit 'Use when' clause listing chat systems, live notifications, collaborative tools, real-time dashboards). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'WebSocket', 'chat systems', 'live notifications', 'collaborative tools', 'real-time dashboards', 'real-time', 'room-based messaging'. Good coverage of common variations. | 3 / 3 |
Distinctiveness Conflict Risk | WebSocket communication with room-based messaging and horizontal scaling is a clear, distinct niche. The combination of real-time, WebSocket, and specific use cases like chat and live notifications makes it unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%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, actionable skill with excellent executable code examples covering server, client, React integration, and monitoring. Its main weaknesses are the verbose best practices/anti-pattern lists that state things Claude already knows, and the lack of an explicit setup workflow with validation checkpoints for the multi-component system.
Suggestions
Remove or significantly trim the 'Best Practices' and 'Never Do' sections—most items are general knowledge Claude already has. Keep only project-specific or non-obvious constraints.
Add a brief setup workflow sequence (e.g., 1. Start Redis, 2. Verify connection, 3. Start server, 4. Test with health endpoint) with explicit validation checkpoints between steps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good code examples, but includes some unnecessary content: the 'Best Practices' and 'Never Do' bullet lists are largely things Claude already knows (e.g., 'authenticate before allowing operations', 'send sensitive data unencrypted'), and the React hook's getToken() comment block explaining localStorage/context/cookie is verbose padding. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code for server implementation, client implementation, React hook, message protocol with TypeScript interface, and monitoring endpoints. The code is concrete and complete with real library imports and working patterns. | 3 / 3 |
Workflow Clarity | While the individual components are clear, there's no explicit workflow sequence for setting up a WebSocket system end-to-end. There are no validation checkpoints—for instance, no steps to verify the Redis connection works before proceeding, no testing/verification steps after deployment, and no error recovery feedback loops for the setup process. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear sections progressing from server to client to React hook to protocol to scaling. The Python implementation is appropriately referenced out to a separate file with clear signaling. The scaling table provides a quick-reference format. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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