Content
85%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-architected skill body: clearly sequenced phases with validation checkpoints, lean prose that assumes competence, and clean progressive disclosure backed by real reference files. The only meaningful gap is the absence of a concrete GAQL query example for the core data pull.
Suggestions
Add one copy-paste-ready GAQL snippet (or a minimal ads.gaqlParallel runScript skeleton) to the Phase 1 dataset pull so the core query is executable rather than left to Claude's discretion.
De-duplicate the signal-failure/STOP guidance so it lives in one canonical place (the reference) and the Phase 3 / Guardrails lines point to it rather than restating the rule.
Consider trimming or linking the full business-context.json schema to references/business-context.md to keep SKILL.md as a leaner overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and efficient with no padding about concepts Claude already knows, but a few points (e.g., the signal-failure/STOP condition restated across Phase 3 and Guardrails #2) are slightly redundant and could be trimmed without losing clarity. | 4 / 5 |
Actionability | Highly actionable via exact JSON schemas, field-to-source mapping tables, and concrete file paths, but the core GAQL execution is delegated ('You decide the exact GAQL shape') without a copy-paste example, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Clear six-phase sequence with explicit validation gates and STOP conditions (signal-quality failure, critical query error), scoped-audit handling, freshness checks, and a guardrails checklist for error recovery. | 5 / 5 |
Progressive Disclosure | SKILL.md serves as a well-organized overview with one-level-deep, clearly signaled references — all four named reference files (account-health-scoring, business-context, conversion-network-audit, persona-discovery) exist in the bundle, and detailed schemas are appropriately inline. | 5 / 5 |
Total | 18 / 20 Passed |