langchain-webhooks-events
Implement LangChain callback handlers, streaming, webhooks, Server-Sent Events (SSE), and WebSocket integration. Trigger: "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "langchain SSE", "WebSocket LLM".
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 enumerates specific capabilities (callback handlers, streaming, webhooks, SSE, WebSocket) within the LangChain domain. The explicit trigger terms provide good coverage of natural search phrases. The description is concise, uses third-person voice, and carves out a distinct niche.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'callback handlers', 'streaming', 'webhooks', 'Server-Sent Events (SSE)', and 'WebSocket integration' — all clearly defined technical capabilities. | 3 / 3 |
Completeness | Clearly answers 'what' (implement callback handlers, streaming, webhooks, SSE, WebSocket integration) and 'when' via explicit trigger terms. The 'Trigger:' clause serves as an equivalent to 'Use when...' providing explicit selection guidance. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'langchain callbacks', 'langchain webhooks', 'langchain events', 'langchain streaming', 'langchain SSE', 'WebSocket LLM'. These cover common variations and are terms developers would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific to LangChain callback/event/streaming patterns. The combination of 'LangChain' with specific integration types (callbacks, SSE, WebSocket) creates a clear niche unlikely to conflict with general web development or other LLM framework 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, actionable skill with high-quality executable TypeScript examples covering multiple event-driven patterns in LangChain. Its main weakness is length—the similar patterns (SSE, WebSocket) could be consolidated or split into separate files—and the lack of explicit workflow guidance for choosing between patterns or validating implementations. The error handling table is a nice touch but could be expanded into proper recovery workflows.
Suggestions
Consider splitting the full SSE, WebSocket, and Trace Aggregator implementations into separate referenced files (e.g., SSE.md, WEBSOCKET.md) to keep SKILL.md as a concise overview with quick-start snippets.
Add a brief decision guide (e.g., a table or flowchart) for when to use SSE vs WebSocket vs webhooks to improve workflow clarity.
Add validation/verification steps such as 'Test the SSE endpoint with curl' or 'Verify webhook delivery with a test payload' to create feedback loops in the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with executable code examples, but is quite long. Some sections like the client-side SSE consumer and the WebSocket example are somewhat redundant (very similar patterns). The overview sentence and 'Next Steps' section add minimal value. However, it avoids explaining basic concepts Claude already knows. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript with proper imports, concrete class implementations, and usage examples. The webhook handler, SSE endpoint, WebSocket server, and trace aggregator are all copy-paste ready with real library APIs. | 3 / 3 |
Workflow Clarity | The skill presents individual patterns clearly but lacks explicit workflow sequencing or validation checkpoints. There's no guidance on when to use which pattern, no step-by-step integration workflow, and the error handling table is helpful but doesn't include feedback loops for recovery. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers and a logical progression from callbacks to SSE to WebSocket to tracing. However, at ~200 lines of code examples, some sections (like the full WebSocket or SSE implementations) could be split into separate reference files. The Resources section provides external links but no internal file references for deeper content. | 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 | |
- Commit
70e9fa4
- Reviewed
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