Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a well-structured, clearly sequenced workflow for resolving Atlassian API endpoints, with a strong scoring rubric and good edge case handling. Its main weaknesses are the lack of executable code examples (no sample input/output, no implementation snippets) and the monolithic structure that could benefit from splitting reference material into separate files. The content is moderately concise but could trim some enumerations and repeated emphasis.
Suggestions
Add a concrete example showing a sample `operation` input and the expected structured output, so Claude has a clear input→output reference to follow.
Include at least one executable code snippet (e.g., fetching a spec URL and extracting paths) to move from prose instructions to actionable implementation guidance.
Extract the API Registry table and synonym mappings into separate reference files to improve progressive disclosure and reduce the main file's length.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably detailed for a complex multi-step process, but includes some unnecessary elaboration. The synonym lists, the exhaustive enumeration of resource nouns and action verbs, and the repeated emphasis on $ref expansion could be tightened. However, much of the content is genuinely instructive for a non-trivial task. | 2 / 3 |
Actionability | The skill provides concrete spec URLs, a detailed scoring table with weights, and a clear threshold, which is good. However, there is no executable code — no example fetch call, no example scoring implementation, no sample input/output. The guidance is specific but remains at the level of detailed prose instructions rather than copy-paste-ready implementations. | 2 / 3 |
Workflow Clarity | The four-step workflow is clearly sequenced (parse → fetch → score → deduplicate/output), with explicit validation-like checkpoints such as the threshold retry mechanism ('lower the threshold and retry'), edge case handling, and a clear output normalization step before returning results. The scoring rubric table and deduplication rules provide strong guardrails. | 3 / 3 |
Progressive Disclosure | The content is a single monolithic file with no references to supporting files, despite being quite long and detailed. The scoring table, synonym mappings, and API registry could reasonably be split into separate reference files. However, the internal structure with clear headers and tables provides decent navigability within the single file. | 2 / 3 |
Total | 9 / 12 Passed |