Content
75%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.
A well-organized, mostly executable skill body: real API examples that check out against the bundled script, an explicit lifecycle with validation and error-recovery loops, and an appropriate single reference pointer. The main gaps are minor — an undefined variable in the examples, an illustrative JSON block that inflates token cost, and lifecycle checkpoints described rather than made runnable.
Suggestions
Trim or move the 20-line Execution Result JSON example into scripts/task_executor.py's docstring or a short 'result fields' bullet list — it documents output shape without teaching action, costing tokens in the always-loaded SKILL.md.
Make the Quick Start self-contained: show how project_dir is obtained (e.g., 'project_dir = Path(".")') so the snippet is copy-paste runnable as promised by the section title.
Tie each lifecycle phase to its concrete command (e.g., 'VALIDATE: await executor.validate(feature_id)') so the sequence doubles as a runnable checklist rather than a description of the executor's internals.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: no concept explanations, no library primers, and every section except one is instructional. The 20-line 'Execution Result' JSON block is the lone trim candidate — illustrative output format rather than actionable guidance. Minor over-inclusion keeps it below anchor 5, but it is far from anchor 3's 'several unnecessary explanations.' | 4 / 5 |
Actionability | The Quick Start and all three execution-mode snippets are real, executable code whose method names (execute_next_feature, execute_feature, execute_queue, execute_batch) verify against the bundled scripts/task_executor.py. Below anchor 5 because 'project_dir' is never defined or shown, the snippets assume surrounding async context, and the lifecycle steps are phase labels rather than commands; above anchor 3 because the guidance is genuine code, not pseudocode. | 4 / 5 |
Workflow Clarity | The 8-step lifecycle is clearly sequenced with an explicit validation phase ('5. VALIDATE → Run criteria validation'), and Error Handling provides feedback loops ('Retry implementation up to 3 times', 'Rollback to last checkpoint', 'Save state, create handoff') — satisfying the batch-operation validation requirement since queue/batch modes are core. Below anchor 5 because checkpoints are descriptive labels rather than executable validation commands tied into the loop; above anchor 3 because both the validation step and error-recovery loops are explicit. | 4 / 5 |
Progressive Disclosure | A well-sectioned overview that keeps each mode's example brief and delegates the bulk to a clearly signaled, one-level-deep reference ('See scripts/task_executor.py for full implementation') that is a real bundle file. Below anchor 5 because the body inlines API-reference-style detail (the full execution-result JSON schema) and offers only a single navigational pointer; above anchor 3 because structure and content placement are solid and the reference is genuine. | 4 / 5 |
Total | 16 / 20 Passed |