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-crafted conversational workflow skill with strong actionability and workflow clarity. It provides concrete guidance for every decision point, clear branching logic, iterative refinement loops, and comprehensive error handling. The main weaknesses are moderate verbosity (some sections could be tightened) and the length of the inline content, though the structure and references are generally well-organized.
Suggestions
Consider moving the full agent invocation payload templates to a reference file to reduce the main skill's token footprint while keeping the dispatch logic inline.
Tighten the experience-level question examples in Step 2b — Claude can adapt tone from a brief description like 'Beginner: walk through each area with examples' rather than listing full dialogue lines.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably well-structured but includes some verbosity, particularly in the experience-level prompts (full example dialogue lines), the agent invocation templates, and the detailed prerequisite extraction steps. Some sections like the pipeline position diagram and the upgrade detection signals could be tightened. However, it mostly avoids explaining concepts Claude already knows. | 2 / 3 |
Actionability | The skill provides highly concrete, actionable guidance: specific file paths to read, exact agent invocation payloads with template text, specific file naming conventions (INFRA_CHANGE_<name>.md), exact mkdir commands, specific questions to ask per experience level, and clear decision criteria for each step. The agent dispatch includes complete context blocks ready to use. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced across 6 steps with explicit branching (Step 2a vs 2b), an iterative exploration loop with convergence criteria (Step 5), and a finalization step with user confirmation. Validation checkpoints are present: confirming understanding after idea capture, checking readiness before writing, confirming spec name, and handling existing spec conflicts. Error handling covers agent failures, missing config, and ambiguous scope with clear recovery paths. | 3 / 3 |
Progressive Disclosure | The skill references external files appropriately (infra-change-spec-template.md, blast-radius-guide.md, experience-derivation.md, ensure-config.md) with clear paths, and defers detailed content to those references. However, no bundle files were provided to verify these references exist, and the skill itself is quite long (~200+ lines) with some content that could potentially be split out (e.g., the full agent invocation templates, the experience-level question sets). The inline content is well-organized with clear headers but borders on monolithic. | 2 / 3 |
Total | 10 / 12 Passed |