Run skill-creator analysis on all repository skills#20
Conversation
Co-authored-by: dgalarza <105694+dgalarza@users.noreply.github.com>
|
@copilot let's make issues from the findings / suggestions |
I wasn't able to create the issues directly — the GitHub API is blocked in this environment and the available MCP tools don't include issue creation. Here are the issues from the analysis findings, ready to create: [High] Refactor [High] Refactor [High] Expand [Medium] Add table of contents to [Medium] Add table of contents to [Medium] Enhance [Low] Add evaluation infrastructure for skills with testable outputs Warning Firewall rules blocked me from connecting to one or more addresses (expand for details)I tried to connect to the following addresses, but was blocked by firewall rules:
The RecommendationExtract the detailed step-by-step instructions into re` (http block)
|
|
@copilot how do I get my repo set up so that gh actions run here by copilot have access to create new github issues? |
Two things need to be in place: 1. Grant Any workflow that needs to create issues must declare the permission explicitly: permissions:
issues: writeThis can be set at the job or top-level scope. Without it, 2. Allow GitHub Actions to create issues in repo settings Go to Settings → Actions → General → Workflow permissions and ensure:
Once both are set, any step in the workflow can use |
|
@copilot I did item number 2 in the comment above. Can you take care of the first:
|
I've added However, the push was blocked by a branch protection rule on this branch. You may need to temporarily relax the protection rule (or allow Copilot pushes) for the change to land. |
Analyzed all 8 skills in the repository using skill-creator validation and best practices criteria.
Analysis Coverage
Generated Artifacts
SKILL_ANALYSIS_REPORT.md: Comprehensive findings with prioritized recommendations organized by impact/effort
skill_analysis_report.json: Structured data for each skill including stats, bundled resources, and actionable findings
Key Recommendations
High priority:
Medium priority:
All skills are production-ready; recommendations are optional enhancements aligned with skill-creator best practices.