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How-to guide covering the full description optimization workflow: writing effective descriptions, designing trigger eval queries (should-trigger and should-not-trigger with near-miss examples), testing trigger rates with a bash eval script, train/validation splits to avoid overfitting, and the iterative optimization loop. The guide is client-agnostic by default but includes a working Claude Code example in the `check_triggered` function using `--output-format json` and `jq` to detect `Skill` tool calls. Adds the page to the "For skill creators" navigation group in `docs.json`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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