Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides clear, actionable guidance for creating Datadog core checks. Its greatest strengths are the decision-tree approach in Step 1 that maps to specific reference files in Step 2, and the concrete verification steps in Step 7. Minor weaknesses include some redundant information (the Sender Methods table and Important Notes repeat things discoverable from the referenced files) and the monolithic structure that could benefit from splitting reference material into separate files.
Suggestions
Consider moving the Sender Methods Reference table and Important Notes into a separate REFERENCE.md file, since Claude will already be reading the reference check files which demonstrate these patterns in context.
Remove explanatory text that Claude can infer from reading the reference files (e.g., 'Core checks collect metrics, service checks, or events and send them to Datadog at regular intervals' in the opening line).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient and well-structured, but includes some information Claude already knows (e.g., explaining what core checks are, what gauge/rate/count metrics are, basic Go concepts). The Sender Methods Reference table and some of the Important Notes section contain information that could be discovered from the reference files already being read in Step 2. | 2 / 3 |
Actionability | The skill provides highly concrete, actionable guidance: specific file paths to read and create, exact commands to run for testing/building/linting, a clear table mapping check types to reference files, specific code patterns (BuildID before CommonConfigure, mock sender setup flow), and concrete YAML examples for configuration. The test flow is step-by-step with specific method calls. | 3 / 3 |
Workflow Clarity | The 7-step workflow is clearly sequenced with logical dependencies between steps. Step 7 provides explicit verification checkpoints (run tests, build agent, run linter) before reporting results. The workflow includes decision points (Step 1's configuration matrix) that feed into Step 2's reference file selection, and Step 3 includes conditional rules for different check types. The validate-then-report pattern in Step 7 provides a proper feedback loop. | 3 / 3 |
Progressive Disclosure | The skill is well-organized with clear sections and a logical flow, but it's a fairly long monolithic document (~150 lines of content). The Sender Methods Reference table and Important Notes could potentially be split into separate reference files. However, since no bundle files are provided, the skill appropriately keeps everything inline. The references to codebase files for patterns are well-signaled but all content is in one file. | 2 / 3 |
Total | 10 / 12 Passed |