Add two agent skills under .agents/skills (symlinked into .claude/skills):
- ai-chat: guidance for improving the Windmill AI chat / copilot, especially
global mode — benchmark before/after with ai_evals, optimize finalContextTokens
over cumulative, keep tool params and tool-result payloads minimal (no echoing
content the model already has), treat prompts/tool-descriptions as benchmarkable
surface.
- ai-evals: author and run black-box benchmark cases for the AI generation modes,
migrated from ai_evals/AGENTS.md and extended with run mechanics (workspace reuse,
reading the summary). ai_evals/AGENTS.md becomes a pointer stub to the skill.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* test: add datatable tool coverage to global ai_evals (stage 0+1)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* test: add seeded datatable difficulty-ladder global ai_evals (stage 2)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* test: skipJudge datatable evals and make stringIncludesAnyOf existential
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* test: make ai_evals datatable mock reflect SQL writes
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
centdixandClaude Opus 4.8