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 well-structured, highly actionable skill for a complex multi-step infrastructure triage workflow. Its strengths are the clear step sequencing, concrete commands and templates, comprehensive error handling with fallbacks, and good use of external references for templates. Its main weakness is moderate verbosity — the skill could be tightened in places, and some inline content (like the full agent context block and topology behaviors) could be extracted to reference files for better progressive disclosure.
Suggestions
Consider extracting the agent invocation context template and topology-aware behavior details into a reference file to reduce the main skill's length and improve progressive disclosure.
Tighten the introductory paragraph and prerequisite section — the explanation of what infrastructure request issues are and the detailed experience level derivation chain could be more concise.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long but most content is necessary given the complexity of the multi-step workflow with multiple topology types, trackers, and experience levels. However, some sections could be tightened — e.g., the free-form parsing explanation, the topology-aware behavior descriptions, and the experience level derivation chain are somewhat verbose. The introductory paragraph explaining what infrastructure request issues are is mildly redundant given the context. | 2 / 3 |
Actionability | The skill provides concrete, executable commands (gh issue view, gh issue edit), specific file paths to read, exact structured prompts to pass to the agent, and clear decision trees for each scenario. The agent invocation includes a complete context template with placeholders. Every step has specific actions rather than vague directions. | 3 / 3 |
Workflow Clarity | The 6-step workflow is clearly sequenced with explicit prerequisites, conditional branching for different trackers/topologies, label management as a validation checkpoint, and a comprehensive error handling section with fallback behaviors for each failure mode. The decision points (AskUserQuestion) create clear gates, and re-running safety is explicitly addressed. | 3 / 3 |
Progressive Disclosure | The skill references external files (infra-request-template.md, implications-brief-template.md, experience-derivation.md, ensure-config.md) which is good progressive disclosure design, but no bundle files were provided to verify these exist. The main SKILL.md itself is quite long (~180 lines of substantive content) and some sections like the full agent context template and the detailed topology-aware behavior could potentially be extracted to reference files. The references are clearly signaled with paths though. | 2 / 3 |
Total | 10 / 12 Passed |