Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable coaching workflow with clear sequencing, validation/failure handling, and clean one-level reference navigation; the only meaningful weakness is verbosity from repeated conditional qualifiers.
Suggestions
Consolidate the recurring conditional hedges (e.g., "when those dimensions are visible," "unless asked otherwise") into a single scope-handling note to reduce token overhead.
Trim repeated qualifiers in the sampling and search bullets so each instruction states its default once with exceptions only where they change behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows but is padded with repetitive conditional qualifiers ("when those dimensions are visible," recurring "unless asked otherwise"-style hedges) that could be tightened without losing meaning. | 2 / 3 |
Actionability | Gives concrete, executable guidance throughout — sample-size floors ("at least 15 target calls"), date windows, per-call retention fields ("three to eight observed moments"), excerpt limits ("no more than 25 quoted words"), and a fully specified output template. | 3 / 3 |
Workflow Clarity | A clear numbered sequence (steps 1–4) with explicit checkpoints and bounded fallbacks — "do not assume a target rep... before gathering deeper evidence," "make at most three narrow source reads," and a limited-memo path that names the shortfall and the next improving search. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with a dedicated Reference Loading section pointing one level deep to four real, present bundle files (call-transcripts-connector-playbook.md, request-schema.yaml, source-priority.md, output-contract.md), each tied to a specific use-case. | 3 / 3 |
Total | 11 / 12 Passed |