Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered, complex skill: tightly sequenced multi-step workflow with validation checkpoints, concrete templates and schemas, and disciplined progressive disclosure via verified reference files. Minor motivational prose is load-bearing rather than filler.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean for its scope: it assumes competence (never explains what a slide or chart is), and every section gives actionable structure. The 'Why:' rationales are deliberate methodology that enables adaptive execution rather than padding about known concepts. | 3 / 3 |
Actionability | Highly concrete for an instruction-only skill: a fillable nine-section template, an identity-selection table, a literal Decision Trace JSON schema, and a fixed output-shape template the model must follow verbatim. | 3 / 3 |
Workflow Clarity | Moves 0–5 are explicitly ordered with 'Do not skip', and the closing anti-slop self-check is a validation checkpoint with a fix-in-place-or-trace feedback loop; critique mode provides a separately sequenced variant. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with inline, condition-gated pointers to one-level-deep references ('Read references/X when...'), all of which exist on disk, plus a consolidated Reference files list — clean, well-signaled navigation. | 3 / 3 |
Total | 12 / 12 Passed |