langfuse-hello-world
Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".
83
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%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-structured description with strong completeness and excellent trigger terms. Its main weakness is that the 'what' portion is somewhat thin—it describes only one action ('create a minimal working trace example') rather than listing specific concrete capabilities. Overall it would perform well in skill selection due to its clear niche and explicit trigger guidance.
Suggestions
Add more specific concrete actions to the capability description, e.g., 'Creates a Langfuse client, initializes a trace with spans, and logs a sample generation to verify connectivity.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | It names the domain (Langfuse tracing) and one action ('Create a minimal working Langfuse trace example'), but doesn't list multiple concrete actions like creating spans, logging generations, or setting up the client. | 2 / 3 |
Completeness | Clearly answers both 'what' (create a minimal working Langfuse trace example) and 'when' (starting a new integration, testing setup, learning basic patterns) with explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger phrases users would actually say: 'langfuse hello world', 'langfuse example', 'langfuse quick start', 'first langfuse trace', 'simple langfuse code'. These are realistic and varied. | 3 / 3 |
Distinctiveness Conflict Risk | Langfuse is a specific tool, and the description targets a narrow use case (hello-world/quickstart traces). The trigger terms are highly specific to Langfuse and unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 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 hello world skill with excellent actionability—all code examples are complete and executable with proper imports and setup. The main weakness is that four parallel examples (v4 modular, observe wrapper, legacy v3, Python) create redundancy and blur the workflow clarity, making it unclear which path a user should follow. Trimming to one primary example with alternatives referenced externally would significantly improve conciseness and clarity.
Suggestions
Restructure the four examples to present one primary path (e.g., v4+ modular SDK) as the main workflow, and move alternatives (legacy v3, Python, observe wrapper) to a separate reference file or clearly label them as 'Alternative approaches'.
Add an explicit verification step after the first example: 'Open your Langfuse dashboard and confirm the trace appears before proceeding to alternative patterns.'
Clarify that Steps 1-4 are independent alternatives, not sequential steps—rename them as 'Option A/B/C/D' or use a different heading structure to avoid implying a linear workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill covers four separate hello world examples (v4 modular, observe wrapper, legacy v3, Python) which creates significant redundancy. While each example is individually clean, showing the same concept four ways is verbose for a hello world skill. The trace hierarchy diagram and error table add value but the overall content could be tightened by picking one primary path and relegating alternatives to references. | 2 / 3 |
Actionability | All code examples are fully executable with proper imports, complete function bodies, and copy-paste ready patterns. The error handling table provides specific solutions for common issues, and the examples include necessary setup like SDK initialization and flush calls. | 3 / 3 |
Workflow Clarity | The steps are numbered but they represent four independent alternatives rather than a sequential workflow, which is confusing—it's unclear whether the user should do all four steps or pick one. There's no explicit validation checkpoint (e.g., 'verify the trace appears in your dashboard before proceeding'), and the relationship between the steps is not clearly communicated. | 2 / 3 |
Progressive Disclosure | The skill has a clear overview, well-organized sections, a concise error reference table, external resource links, and clear next-step pointers to other skills. The trace hierarchy diagram serves as a helpful visual summary without bloating the content. | 3 / 3 |
Total | 10 / 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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