Content
82%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 highly actionable with executable examples throughout and a sensible step-by-step workflow including a debugging feedback loop. It is concise and well-structured, though the main write-test flow could surface an explicit validation checkpoint.
Suggestions
Make the validate-then-iterate loop explicit in the main workflow (e.g. 'run tests → if failing, use --dump-input=fail to diagnose → fix → re-run') rather than relegating it to the debugging section.
Consider splitting the directive reference (Step 3) or lit.cfg.py config into a reference file to shorten the single-file body and ease navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient — assumes Claude knows LLVM/IR/opt/llc without padding explanations — with only minor instances (e.g. inline glosses) that could be trimmed. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready RUN lines, opt/llc invocations, lit.cfg.py, and debugging commands cover the common cases comprehensively. | 5 / 5 |
Workflow Clarity | Steps 0–10 give a clear sequence with a debugging feedback loop in Step 10 (--dump-input, run manually, inspect output), though validation within the main write-test flow is mostly implicit. | 4 / 5 |
Progressive Disclosure | No bundle files exist, but the body is well-organized into clearly headed sections; as a single cohesive skill it is appropriately placed, with only minor length-related organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |