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 is highly actionable with a clear, validated workflow and good progressive disclosure of the voice catalog. Its main weakness is conciseness: legacy model aliases and multi-platform embed variants add length that could be externalized.
Suggestions
Move the legacy/compat model aliases (legacy-flash25, legacy-pro25) and their rationale into references/ or a deprecation note to slim the Model selection section.
Consolidate the three embed-platform examples (Hugo/Jekyll, MDX, WordPress) into a single canonical snippet plus a short reference pointer rather than inline variants.
Consider relocating the full Embedding Guide / placement detail to a references file so the main SKILL.md stays a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with tables and concrete commands, but it is long and includes compat/legacy detail (multiple model aliases, three embed-platform formats, placement guidance) that could be tightened or moved to a reference. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands (run.py invocations with exact flags), embed code blocks, a dry-run command, and a concrete error→resolution table. | 3 / 3 |
Workflow Clarity | The generate workflow is six clearly sequenced steps with an explicit API-key gate checkpoint and a setup dry-run validation; the error-handling table provides recovery guidance. | 3 / 3 |
Progressive Disclosure | The body is an overview that defers the 30-voice catalog to references/voices.md (verified present) with explicit 'Load on-demand: do NOT load all at startup' signaling — a single, one-level-deep reference. | 3 / 3 |
Total | 11 / 12 Passed |