Content
68%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, highly actionable gh-CLI workflow with strong upfront validation and user-gated checkpoints. Its main weakness is the absence of post-creation verification for this batch operation, which caps workflow clarity.
Suggestions
Add a verification step after Step 7 that confirms each `gh issue create` succeeded (e.g. check the captured URL/number is non-empty) and aborts with a clear message before deriving downstream issue numbers.
Tighten the repeated "MUST include -R <TARGET_REPO>" reminders and the RFC breadcrumb footer section to reduce redundancy and lift conciseness toward 5.
Consider extracting the large AskUserQuestion JSON blocks and Epic/Task heredoc templates into a reference file to improve progressive_disclosure and reduce inline density.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows and leads with executable `gh`/bash commands and mapping tables; minor redundancy (repeated "MUST include -R" reminders and the RFC breadcrumb section) keeps it just below 5. | 4 / 5 |
Actionability | Concrete, executable commands (gh issue create, label create, heredoc Epic/Task templates, issue-number extraction) cover the common cases; minor gaps from the abstract task-grouping direction in 6a and templated placeholders prevent a 5. | 4 / 5 |
Workflow Clarity | Steps 1-8 are well sequenced with several checkpoints (prereq Stop, duplicate warning, plan-modify loop), but this is a batch operation and there is no verification that issue creation succeeded before deriving EPIC_NUM, so the batch-verification cap holds at 3. | 3 / 5 |
Progressive Disclosure | No bundle files exist; the single SKILL.md is well-sectioned into Usage, Steps 1-8, and Notes with clear headers, so structure is good, though dense inlined JSON/heredoc templates leave minor organization gaps. | 4 / 5 |
Total | 15 / 20 Passed |