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 trigger terms and clear 'what/when' guidance. Its main weakness is that the capability description is somewhat thin—it only mentions creating a trace example without detailing specific sub-actions. However, for a narrowly scoped quickstart skill, this level of specificity may be adequate.
Suggestions
Add more specific concrete actions, e.g., 'Creates a minimal Langfuse trace with spans, generations, and score logging' to improve specificity.
| 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 setting up spans, adding metadata, configuring the client, etc. | 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 terms users would say: 'langfuse hello world', 'langfuse example', 'langfuse quick start', 'first langfuse trace', 'simple langfuse code'. These are realistic phrases a user would type when starting with Langfuse. | 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 error handling guidance. The main weakness is that four parallel examples are presented as sequential 'steps,' creating both structural confusion and unnecessary verbosity. Consolidating to one primary example (v4+) with brief alternatives would significantly improve both conciseness and workflow clarity.
Suggestions
Restructure Steps 1-4 as one primary example (v4+ modular SDK) with the others as clearly labeled alternatives or collapsed sections, rather than implying a sequential workflow.
Add an explicit verification checkpoint after the first example: 'Confirm the trace appears in your Langfuse dashboard at the URL printed to console before trying other patterns.'
Trim redundancy by removing the legacy v3 example or moving it to a separate reference file, since the skill's purpose is a minimal working example, not a comprehensive SDK comparison.
| 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 reasonably lean individually, the overall content is verbose for a 'hello world' skill — a single primary example with brief alternatives would be more token-efficient. | 2 / 3 |
Actionability | All code examples are fully executable, copy-paste ready with proper imports, complete function bodies, and flush/shutdown calls. The error handling table provides specific solutions for common issues, and install commands are included. | 3 / 3 |
Workflow Clarity | The steps are labeled but represent independent alternatives rather than a sequential workflow, which is confusing — Steps 1-4 are parallel options, not a progression. There's no explicit validation checkpoint (e.g., 'verify the trace appears in the dashboard before proceeding'), and the relationship between steps isn't clearly signaled. | 2 / 3 |
Progressive Disclosure | The skill has a clear overview, well-organized sections, a concise trace hierarchy diagram, an error table, and clear pointers to next steps and external resources. References are one level deep and well-signaled. | 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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