Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An information-dense, highly actionable body with clear sequenced workflows and feedback loops, weakened only by monolithic single-file structure and undated-isolated time-sensitive benchmarks. Strong on actionability and workflow, moderate on conciseness and progressive disclosure.
Suggestions
Split large benchmark/rate/tool tables into one-level-deep reference files (e.g. references/benchmarks.md, references/rate-cards.md) and keep SKILL.md as a concise overview with signaled links, raising progressive_disclosure.
Move the "2025-2026" dated figures into a clearly labeled, time-bound section so dated data does not penalize conciseness, and add a note to re-validate rates periodically.
Tighten or trim redundant sections (e.g. Key Metrics table vs. Section 10 Benchmarks, Questions to Ask vs. Before Starting) to reduce length without losing actionable detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Per-line content is lean and specific (no generic concept padding), but the body runs ~430 lines and is seeded with time-sensitive "2025-2026" date stamps not isolated in a deprecated section, which the rubric penalizes even when accurate. | 2 / 3 |
Actionability | Highly executable: fill-in brief template, DM outreach script, specific dollar rate tiers, kill-criteria thresholds, scaling rules, and step-by-step Spark Ads / partnership-ads setup — copy-paste ready guidance throughout. | 3 / 3 |
Workflow Clarity | Multi-step processes are explicitly sequenced (Flywheel Stage 1-4, 3x3x3 testing Phases 1-4, AI UGC workflow 1-7) with validation/feedback checkpoints such as "Kill underperformers at 48 hours" and budget-increase rules gated on CPA holding. | 3 / 3 |
Progressive Disclosure | No bundle files exist and the entire skill is a single monolithic document; reference tables, benchmarks, and tool comparisons that could live in separate one-level-deep files are all inline, so it is organized but not appropriately split. | 2 / 3 |
Total | 10 / 12 Passed |