Content
62%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 with excellent workflow clarity and thorough error handling. However, it suffers significantly from verbosity — the inline applier prompt, repeated configuration-missing messages, and extensive inline detail inflate the token cost substantially. The content would benefit from moving the applier prompt template and error handling matrix into reference files, keeping the main SKILL.md as a leaner orchestration overview.
Suggestions
Move the lengthy Step 6 applier prompt (the entire code block with JSON schema) into a reference file like `references/applier-prompt.md` and reference it inline, similar to how scope-detection.md and review-prompts.md are referenced.
Consolidate the error handling section into a reference file or a compact table — the same 'Run /arn-implementing to get started' message is repeated 3 times verbatim.
Remove redundant explanations like 'This mode is used by batch-implement workers that cannot prompt the user. It follows the same logic as the user selecting "all" but without requiring AskUserQuestion' — Claude can infer this from the auto-approve logic itself.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~300+ lines. It over-explains orchestration details, includes lengthy inline JSON schemas, repeats error handling information already covered in the workflow steps, and provides extensive applier prompt text that could be in a reference file. Many sections explain things Claude can infer (e.g., how to parse JSON, what 'auto-all' means conceptually). | 1 / 3 |
Actionability | The skill provides highly concrete, executable guidance: specific git commands, exact JSON schemas for applier output, precise file paths to read, explicit agent dispatch instructions with model lookup paths, and detailed per-finding processing steps with copy-paste-ready applier prompts. | 3 / 3 |
Workflow Clarity | The 8-step workflow is clearly sequenced with explicit validation checkpoints: test verification after each finding application, self-heal retry loops (up to 3 attempts), revert on failure, final cumulative test pass, and partial failure handling at every stage. The feedback loops for destructive operations (code changes) are thorough. | 3 / 3 |
Progressive Disclosure | The skill references external files appropriately (scope-detection.md, review-prompts.md, step-0-fast-path.md) for detailed algorithms, but the main body itself is monolithic with substantial inline content that could be split out — particularly the lengthy applier prompt (Step 6) and the complete error handling section. The JSON schema and applier instructions alone account for ~40 lines that would be better in a reference file. | 2 / 3 |
Total | 9 / 12 Passed |