Content
81%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 strong, highly actionable conversion skill: complete parameter mapping, executable YAML templates, a worked before/after example, and a step sequence with a genuine validation checkpoint and recovery path for the one thing that cannot be derived from source (live dataset GUIDs). The main costs are token redundancy — the anti-fabrication guidance is hammered four or more times across sections — and an Alerts section that is only loosely related to the skill's core job.
Suggestions
Consolidate the repeated never-fabricate-a-GUID guidance into one authoritative location (e.g. Gotchas) and have the Overview, Step 3, and the Before/After intro cross-reference it in a sentence instead of restating the full reasoning each time.
Replace the ~30-line Adding Alerts YAML block with a 2-3 line pointer to the slack-dagster-to-orchestra skill, keeping only the statuses list and the note that run-failure sensors map to an alerts block.
Add a final conversion step validating the produced YAML against the additionalProperties: false constraint (e.g. 're-read the mapping table and confirm no extra parameter keys were carried over'), turning that Gotcha into an explicit workflow checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core warning — never fabricate a dataset GUID — is restated four-plus times (the Overview's bold paragraph, Conversion Step 3, the Before/After intro, and two separate Gotcha bullets), with additional cross-pointers ("see Overview and Gotchas") from the mapping table. Otherwise the body is dense and functional with no padding about concepts Claude already knows, so it fits the 'mostly efficient but could be tightened' anchor rather than the noticeably-verbose one. | 3 / 5 |
Actionability | Provides a complete Dagster-concept→Orchestra-field mapping table, copy-paste-ready YAML templates for both POWER_BI_REFRESH_DATASET and POWER_BI_REFRESH_DATAFLOW with every parameter annotated, a full before/after pair (runnable Dagster Python to resulting Orchestra YAML including the placeholder convention), and UI-level instructions ("Settings → Connections → Power BI"). Fully executable guidance covering the common cases, matching the top anchor. | 5 / 5 |
Workflow Clarity | Conversion Steps 1–6 are clearly sequenced, and Step 3 is an explicit validation checkpoint ("Determine whether a real dataset GUID is actually visible") that branches into a defined recovery path — use the visible value, or emit a `# MANUAL:`-flagged placeholder — instead of a silent failure mode. Error conditions (PowerBIToken vs service principal, workspace_id fallback rules) each have explicit handling, matching the anchor for clear sequence with explicit validation and error-recovery guidance. | 5 / 5 |
Progressive Disclosure | The single-file body is well-organized into Overview / mapping table / YAML structure / steps / before-after / gotchas / references with no bundle files and no nested-reference risk, and the References section is one level of external URLs plus clearly-named sibling skills. It falls short of the top anchor because the ~30-line Adding Alerts schema section is tangential to Power BI conversion and could be a brief pointer, and the repeated GUID guidance is not consolidated. | 4 / 5 |
Total | 17 / 20 Passed |