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* feat(skills): add fitness-nutrition skill to optional-skills Cherry-picked from PR #9177 by @haileymarshall. Adds a fitness and nutrition skill for gym-goers and health-conscious users: - Exercise search via wger API (690+ exercises, free, no auth) - Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback) - Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %) - Pure stdlib Python, no pip dependencies Changes from original PR: - Moved from skills/ to optional-skills/health/ (correct location) - Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5) - Fixed author attribution to match PR submitter - Marked USDA_API_KEY as optional (DEMO_KEY works without signup) Also adds optional env var support to the skill readiness checker: - New 'optional: true' field in required_environment_variables entries - Optional vars are preserved in metadata but don't block skill readiness - Optional vars skip the CLI capture prompt flow - Skills with only optional missing vars show as 'available' not 'setup_needed' * fix: auto-correct close model name matches in /model validation When a user types a model name with a minor typo (e.g. gpt5.3-codex instead of gpt-5.3-codex), the validation now auto-corrects to the closest match instead of accepting the wrong name with a warning. Uses difflib get_close_matches with cutoff=0.9 to avoid false corrections (e.g. gpt-5.3 should not silently become gpt-5.4). Applied consistently across all three validation paths: codex provider, custom endpoints, and generic API-probed providers. The validate_requested_model() return dict gains an optional corrected_model key that switch_model() applies before building the result. Reported by Discord user — /model gpt5.3-codex was accepted with a warning but would fail at the API level. --------- Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
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