Agentic Eval
github/awesome-copilotAgents can learn to check their own work and make it better. This skill shows how to build loops where an agent generates something, then evaluates it, gets feedback, and refines it. Self-critique and iterative improvement help produce higher quality code, reports, and analysis.
Anyone building AI tools that need reliable outputs will benefit. Instead of a single attempt, the agent keeps improving until it meets clear standards. These patterns work for coding with tests, writing with style guides, or any task with measurable quality.
Add Agentic Eval skill to your workflow
Global
mkdir -p ~/.claude/skills/agentic-evalProject
mkdir -p .claude/skills/agentic-evalSource Repository
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