Content
71%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.
The body is highly actionable with complete, executable YAML/API examples, built-in validation, a testing query, and an error-recovery table. Its weaknesses are redundancy — three overlapping industry example sets and a YAML-to-JSON duplicate of the same definitions — and a monolithic single-file structure that inlines reference material a bundle file should carry.
Suggestions
Consolidate the three industry example sections (E-commerce, Media/Content, SaaS/B2B) into a single reference file (e.g., references/attribute-examples.md) keeping only one compact example set inline in SKILL.md.
Turn the implicit order into an explicit numbered workflow with a validate-and-retry loop: define events → add attributes → run 'tdx ps rt validate' → fix per the Common Errors table → re-validate → test with the SQL query.
Trim the 'Add RT Attributes via API' section to one representative POST example plus a note that payloads mirror the YAML definitions, removing the JSON restatement of all four attribute types.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows and is dense with concrete configuration, but it could be tightened: three parallel industry example sections (E-commerce, Media/Content, SaaS/B2B, ~140 lines) repeat the same four attribute types, and the 'Add RT Attributes via API' section largely restates the YAML examples as JSON payloads. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened' — not level 2, since there is no padding or conceptual filler, and not level 4, since the duplication is substantial rather than minor. | 3 / 5 |
Actionability | Everything is copy-paste ready: complete YAML attribute definitions with all parameters and their permitted values ('aggregation: last # last, first, sum, min, max'; 'window_duration: 24h, 7d, 30d, 90d'), exact 'tdx api' commands with full POST payloads, a common-errors table mapping messages to fixes, a validation command ('tdx ps rt validate rt_config.yaml'), and a verification SQL query. This matches 'fully executable; copy-paste ready code or commands; specific examples cover the common cases'. | 5 / 5 |
Workflow Clarity | The sequence is legible — Prerequisites (configure events first via rt-config-events) → attribute definitions → API add/list/update/delete → Validation → Testing with a live query → Next Steps — and validation checkpoints exist ('Validation', 'Testing Attributes', and a Common Errors recovery table), which satisfies the destructive/batch cap. It sits at 'clear sequence with most checkpoints present; minor validation gaps' rather than 5 because the ordering is implied by section arrangement instead of explicit numbered steps, and no validate-then-retry feedback loop is spelled out. | 4 / 5 |
Progressive Disclosure | The single ~390-line SKILL.md is well-headered with no nested references (consistent with no bundle files existing), but the three industry example sections and the full API command reference are inline content that clearly belongs in one or more separate reference files. That matches 'some structure but could be better organized; content that should be separate is inline' — not level 2, because sections are clearly headed and the few external links (docs.treasuredata.com, sibling skills) are well-signaled; not level 4, because roughly 200 lines of examples/API reference sit in the main file. | 3 / 5 |
Total | 15 / 20 Passed |