Content
72%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 lean overview with a verified, executable Quick Start and an appropriately one-level-deep pointer to the implementation script. Its main weakness is workflow guidance: for a batch-execution skill it documents no validation loop (checking ParallelResult.failed, re-running failures) and omits the feature_list.json prerequisite that makes the Quick Start actually runnable.
Suggestions
Add a validation step after execution, e.g., "Check results.failed and results.completed; re-run or investigate failed features before proceeding," to satisfy the batch-operation feedback-loop requirement.
Document the prerequisite input: a brief example of the feature_list.json schema (id, dependencies, category, passes) that _load_features expects, without which find_parallel_opportunities returns an empty list.
Drop the redundant restatement of purpose (the opening line and Purpose section repeat the H1 and description) and fold that space into result interpretation instead.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~25-line body is lean, but the H1, the opening line "Coordinate parallel autonomous operations.", and the Purpose section all restate the same intent — a few redundant tokens that could be trimmed, matching anchor 4 rather than anchor 5's every-token-earns-its-place. | 4 / 5 |
Actionability | The Quick Start is real, executable code whose API matches the actual scripts/parallel_coordinator.py implementation (ParallelCoordinator(project_dir), find_parallel_opportunities(), execute_parallel(group)); it misses anchor 5 because prerequisites are absent — no feature_list.json input format, no async context for the await calls, and no guidance on interpreting results. | 4 / 5 |
Workflow Clarity | A rough sequence is implied (find groups → execute a group → inspect results) but there are no validation checkpoints and no error-recovery guidance for failures or timeouts; since execute_parallel is a batch operation, the rubric's cap for missing validation applies, keeping this at anchor 3. | 3 / 5 |
Progressive Disclosure | The under-50-line body is a clear overview with well-organized sections, and its single reference — "See `scripts/parallel_coordinator.py` for full implementation" — points to a real file that is one level deep and clearly signaled, matching the anchor-5 pattern. | 5 / 5 |
Total | 16 / 20 Passed |