Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body delivers an actionable, clearly sequenced workflow with concrete templates, examples, and checkpoints. Its only real weakness is mild verbosity in motivational framing sections that add length without adding instruction.
Suggestions
Trim the 'Common Rationalizations' table or condense it to the one or two rows that add guidance beyond what the Red Flags list already covers, to improve token efficiency.
Shorten the Overview rationale ('Training data goes stale, APIs get deprecated...') since the motivation is self-evident from the skill's purpose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete tables, templates, and examples, but sections like the 'Common Rationalizations' table and Overview rationale explain motivation Claude already grasps, so it could be tightened. | 2 / 3 |
Actionability | Highly actionable throughout: a dependency-file mapping table, an authoritative source hierarchy, BAD/GOOD fetch examples, citation code blocks, a conflict-surfacing template, and a verification checklist. | 3 / 3 |
Workflow Clarity | The DETECT → FETCH → IMPLEMENT → CITE sequence is explicit with validation checkpoints (ask the user on ambiguous versions, surface conflicts, end-of-process checklist) and clear error-recovery guidance. | 3 / 3 |
Progressive Disclosure | A single-file skill with no bundle references, but it is well-organized into clearly headed sections that map directly to each process step, supporting easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |