Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
54
30%
Does it follow best practices?
Impact
98%
2.39xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/dataverse-sdk-for-python/skills/dataverse-python-usecase-builder/SKILL.mdQuality
Discovery
32%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description identifies a specific technology domain (Dataverse SDK) but is otherwise vague about what concrete actions it performs and completely lacks explicit trigger guidance ('Use when...'). It would benefit significantly from listing specific capabilities and adding natural trigger terms users would use when needing this skill.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user asks about Dataverse SDK, Common Data Service, Dynamics 365 data operations, or Power Platform server-side development.'
List specific concrete actions instead of 'complete solutions', e.g., 'Generates CRUD operations, plugin registrations, custom workflow activities, and entity configurations for the Dataverse SDK.'
Include common keyword variations users might say: 'Dynamics 365', 'CDS', 'Common Data Service', 'Power Platform SDK', 'Dataverse API', '.NET SDK for Dataverse'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | It names the domain (Dataverse SDK) and a general action (generate complete solutions), but 'architecture recommendations' and 'specific use cases' are vague—it doesn't list concrete actions like 'create CRUD operations, configure plugin registrations, build custom workflows'. | 2 / 3 |
Completeness | It partially addresses 'what' (generate solutions with architecture recommendations) but has no 'Use when...' clause or explicit trigger guidance, which per the rubric should cap completeness at 2, and the 'what' itself is also quite vague, bringing this to a 1. | 1 / 3 |
Trigger Term Quality | 'Dataverse SDK' is a relevant keyword users might say, but it misses common variations like 'Dynamics 365', 'Power Platform', 'CDS', 'Common Data Service', 'Dataverse API', or specific operation types that users would naturally mention. | 2 / 3 |
Distinctiveness Conflict Risk | 'Dataverse SDK' provides some niche specificity that distinguishes it from generic coding skills, but 'complete solutions' and 'architecture recommendations' are broad enough to overlap with general software architecture or Dynamics 365 skills. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is overly verbose and padded with content Claude already knows (use case categories, quality checklists, generic best practices). While it provides some useful code snippets for Dataverse SDK operations, much of the implementation code is incomplete scaffolding rather than executable examples. The document would benefit greatly from aggressive trimming, completing the code examples, adding validation checkpoints, and splitting content into referenced sub-files.
Suggestions
Remove the 'Use Case Categories' section entirely—these are generic business concepts Claude already understands and add no SDK-specific value.
Replace the Phase 4 template's placeholder comments (`pass`, `# Methods here`) with a complete, executable implementation for one specific use case.
Add explicit validation checkpoints in the workflow, especially between data model design and implementation (e.g., 'Verify table exists: client.get_table_metadata("table_name")').
Split into multiple files: keep SKILL.md as a concise overview with pattern selection guidance, and move detailed implementations per pattern into separate referenced files (e.g., BATCH_PATTERN.md, FILE_MANAGEMENT.md).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with significant padding. The 'Use Case Categories' section is a pure list of concepts Claude already knows (CRM, document management, etc.) adding no actionable value. The 'Response Format' and 'Quality Checklist' sections describe generic good practices Claude already follows. The 'Phase 1: Requirement Analysis' is a list of obvious questions. Much of this content is descriptive rather than instructive. | 1 / 3 |
Actionability | Some concrete code examples exist (data model design, batch operations, file uploads, query optimization), but much of the code is incomplete scaffolding (e.g., the Service class with `pass` and `# Methods here` comments). The Phase 4 template is pseudocode-level with placeholder comments rather than executable code. Pattern descriptions are abstract rather than providing concrete implementations. | 2 / 3 |
Workflow Clarity | The 5-phase framework provides a clear sequence (Requirement Analysis → Data Model → Pattern Selection → Implementation → Optimization), but there are no validation checkpoints, no error recovery feedback loops, and no verification steps between phases. For a skill involving data operations and migrations, the absence of explicit validation steps is a significant gap. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no references to external files. All content—from high-level architecture patterns to code templates to use case categories—is inlined in a single document. The use case categories, pattern details, and implementation templates could easily be split into separate referenced files. No navigation aids or cross-references exist. | 1 / 3 |
Total | 6 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
4020587
Table of Contents
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