Content
82%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 highly actionable, well-sequenced instruction skill: the Jira query, ROI computation, filtering rules, and output format are all copy-paste concrete. The main weaknesses are mild redundancy in the blocker-semantics explanation, absent error handling for failed fetches, and a stray trailing $ARGUMENTS token.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Nearly every token is operational — exact MCP call, effort mapping table, output templates — but step 3 explains blocker-link semantics three overlapping ways, the 'Important' section restates filter/blocker rules from steps 4–5, and a stray '$ARGUMENTS' remains at the end. Not 5 because these redundancies could be trimmed; not 3 because no concepts Claude already knows are taught. | 4 / 5 |
Actionability | Fully executable for an MCP-driven skill: exact tool name (mcp__claude_ai_Atlassian__searchJiraIssuesUsingJql), exact JQL, fields array, maxResults, custom field IDs, a copy-paste-ready effort table, tie-break rule, and complete markdown output templates covering the empty-results case. | 5 / 5 |
Workflow Clarity | Eight clearly sequenced steps with empty-result handling, tie-breaking, and a preflight section with explicit abort/continue branches and a non-interactive fallback. Not 5: no explicit handling of a failed or empty fetch (epic not found), and the three-way blocker-link interpretation in step 3 is ambiguous enough to cause inconsistent filtering. | 4 / 5 |
Progressive Disclosure | A well-organized single self-contained file with clear sections and one clearly signaled, one-level-deep reference (sibling requirements.json); the skill is over 50 lines so the simple-skill exception doesn't strictly apply, and the duplicated trailing '$ARGUMENTS' is a minor organization gap. | 4 / 5 |
Total | 17 / 20 Passed |