Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with a clear sequenced workflow, explicit validation checkpoints, and concrete send-command and per-type prompt templates, but it carries some repeated boilerplate and a large inline template library that could be offloaded to reference files.
Suggestions
Move the six full email-type prompt templates into a reference file (e.g. references/prompts.md) and keep SKILL.md as an overview pointing to them, improving progressive disclosure.
Dedupe the shared format/return-format boilerplate across the per-type templates by stating it once and referencing it, to tighten conciseness.
Consider adding a brief one-line example output per template type so the expected result format is unambiguous without repeating the full boilerplate.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and avoids over-explaining concepts Claude knows, but the six per-type prompt templates repeat boilerplate (format/return-format blocks) that could be tightened, matching the mostly-efficient anchor. | 2 / 3 |
Actionability | It provides copy-paste-ready guidance: a concrete `email-ops --to ... --subject ... --body ...` command and complete LLM prompt templates with explicit field placeholders and return formats for all six email types, matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | A clear six-step sequence is given with explicit validation (Sent-folder confirmation), an error-handling table, a default-don't-send guardrail, and feedback for verification failure, matching the anchor for clear sequence with explicit validation and error-recovery loops. | 3 / 3 |
Progressive Disclosure | The one script (scripts/send_email.py) is referenced cleanly one level deep via the PATH wrapper, but the six substantial inline prompt templates are content that arguably belongs in separate reference files, which do not exist, matching the anchor where inline content should be split out. | 2 / 3 |
Total | 10 / 12 Passed |