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 high-quality, deeply actionable skill that provides expert-level guidance for a specific Grafana plugin optimization task. Its greatest strengths are the executable code examples, clear prioritization of splitting strategies by risk/impact, and well-defined verification steps with concrete metrics. The main weakness is length — some sections (particularly CI workflow YAML and detailed explanations) could be extracted to reference files to improve token efficiency.
Suggestions
Extract the CI workflow YAML configurations (Step 1) into a separate reference file like references/bundle-size-ci.md to reduce the main skill's token footprint — this is setup guidance that doesn't need to be in the core workflow.
Trim explanatory prose that Claude can infer, such as 'The smaller it is, the less impact the plugin has on Grafana's overall startup time' and 'A pre-split plugin commonly has a module.js of 1–3 MB with no other JS chunks' — these add context but not actionable value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is generally well-targeted and avoids explaining basic React or webpack concepts, but it's quite long (~300+ lines) with some sections that could be tightened — e.g., the CI workflow YAML for both root and subdirectory plugins is verbose, and some explanatory prose ('A well-split plugin should have...') could be trimmed. However, most content is domain-specific knowledge Claude wouldn't have. | 2 / 3 |
Actionability | Excellent actionability throughout — every step includes executable bash commands, complete TypeScript/TSX code blocks, specific YAML workflow configs, and concrete metrics/targets. The code examples are copy-paste ready with real imports, proper type annotations, and practical patterns like the `.then()` re-mapping for named exports. | 3 / 3 |
Workflow Clarity | The 8-step workflow is clearly sequenced with explicit validation checkpoints: baseline measurement in Step 2, build verification in Step 7 with specific target metrics, and runtime testing in Step 8 with concrete verification steps (DevTools → Network → JS). The risk-level table provides clear prioritization, and the 'do not start implementing until you have read all of these' gate in Step 4 prevents premature action. | 3 / 3 |
Progressive Disclosure | The skill references two external files (references/troubleshooting.md and references/datasource-plugins.md) which is good progressive disclosure, but no bundle files were provided to verify these exist. The main SKILL.md itself is quite long and some content (like the full CI workflow YAML for both root and subdirectory cases) could arguably be split into a reference file. The structure is well-organized with clear headers, but the inline density is high. | 2 / 3 |
Total | 10 / 12 Passed |