GitHub Copilot Coding Agent automation. Apply the ai-copilot label to an issue → GitHub Actions auto-assigns Copilot via GraphQL → Copilot creates a Draft PR. One-click issue-to-PR pipeline.
84
76%
Does it follow best practices?
Impact
96%
4.00xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agent-skills/copilot-coding-agent/SKILL.mdQuality
Discovery
67%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 excels at specificity and distinctiveness, clearly explaining the GitHub Copilot automation pipeline with concrete technical details. However, it lacks an explicit 'Use when...' clause and could benefit from more natural user-facing trigger terms beyond the technical jargon.
Suggestions
Add a 'Use when...' clause such as 'Use when the user wants to automate issue-to-PR workflows, set up Copilot automation, or configure GitHub Actions for AI-assisted coding.'
Include more natural trigger terms users might say, such as 'automate PRs', 'AI code generation', 'automatic pull requests from issues', or 'Copilot workflow'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Apply the ai-copilot label', 'GitHub Actions auto-assigns Copilot via GraphQL', 'Copilot creates a Draft PR', and describes it as a 'One-click issue-to-PR pipeline'. | 3 / 3 |
Completeness | Clearly explains WHAT it does (label triggers Copilot assignment via GraphQL, creates Draft PR), but lacks an explicit 'Use when...' clause to guide Claude on WHEN to select this skill. | 2 / 3 |
Trigger Term Quality | Includes relevant technical terms like 'GitHub Copilot', 'Coding Agent', 'ai-copilot label', 'Draft PR', 'issue-to-PR', but missing common user variations like 'automate issues', 'auto PR', or simpler terms users might naturally say. | 2 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with specific triggers like 'GitHub Copilot Coding Agent', 'ai-copilot label', and 'GraphQL' - unlikely to conflict with other skills due to its narrow, well-defined niche. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill document with excellent actionability and workflow clarity. The executable commands, clear prerequisites, and step-by-step guidance make it immediately usable. Minor verbosity in the use cases section and some redundancy between the technical diagram and quick reference prevent a perfect conciseness score.
Suggestions
Consider consolidating the 'How it works' technical diagram with the Quick Reference section to reduce redundancy
The 'Common use cases' section could be condensed - the ASCII diagrams add visual noise without much additional clarity
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some redundancy - the 'How it works' diagram and Quick Reference section partially duplicate information. The use cases section, while helpful, could be more condensed. | 2 / 3 |
Actionability | Provides fully executable bash commands throughout, including setup scripts, gh CLI commands for issue creation/editing, and verification commands. All examples are copy-paste ready with clear parameters. | 3 / 3 |
Workflow Clarity | Clear multi-step workflow with explicit sequence (setup → usage → verification). The 'How it works' diagram shows the full pipeline, and the document clearly explains the manual approval checkpoint required for first PR. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections progressing from prerequisites to setup to usage to advanced use cases. References to external docs are clearly signaled at the end, and the Quick Reference provides a scannable summary. | 3 / 3 |
Total | 11 / 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.
c033769
Table of Contents
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