Implement the tone refinement skill #2
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Plan:
Implementation notes:
Implementation started on branch impl-skill. Planned repo shape: root SKILL.md, agents/openai.yaml, and a small references/ set for sample capture and evaluation workflow.
Initial implementation is on branch impl-skill and in PR !3. Current scope: root SKILL.md, agents/openai.yaml, capture/evaluation reference, and updated REUSE metadata. Validation passed with quick_validate.py and reuse lint.
Added another implementation pass on impl-skill and PR !3: fresh-strings guidance, user-run DAW measurement workflow, common-vs-dedicated preset intake, stronger final mix validation, and a separate IR-selection reference.
Another pass added to PR !3: IR-selection now covers open-ended multi-label categorization, naive yes/no first-pass filtering, pass templates for note-taking, simple single-track switching in early phases, optional bandmate A/B input, low-fatigue bracket rules, and keeping first- and second-choice winners per label.
Latest PR !3 pass: IR-selection now notes the process may take 2-6 hours split over evenings, mentions workshop-style group use, moves note-taking templates into references/ir-selection-templates.txt, and adds quick-write league and tournament templates.
Latest PR !3 pass: added references/bad-tone-patterns.md and linked it from SKILL.md. It currently includes two real diagnosis patterns: single-output clanky drive that loses low end in mix, and over-squashed compression that evens strings but makes the tone too flat.
Latest PR !3 pass: added another bad-result pattern for multi-path rigs forced to collapse to one output because of downstream splitter/FOH/IEM limits, and tightened SKILL.md so external output infrastructure is treated as part of the routing constraint set.
Latest PR !3 pass: added references/platform-tradeoffs.md and linked it from SKILL.md. It covers DAW rig vs digital modeler vs pedalboard/amp/cab tradeoffs, including automation/routing advantages, live logistics benefits, and the practical risks of laptop rigs.
Latest PR !3 pass: expanded platform-tradeoffs with the extra staffing and rack-level complexity of more-digital rigs, plus the upside of integrated samples and cheap live recording for later mix refinement and live review.
Latest PR !3 pass: added check.sh plus .forgejo/workflows/check.yaml for pull_request CI. The workflow uses the same bare git clone/fetch/checkout style as services-gator instead of checkout actions, and local check.sh is green.
Latest PR !3 pass: expanded check.sh and Forgejo PR CI to cover shellcheck, shfmt, yamllint, and typos, with .yamllint.yaml and .typos.toml added to keep the checks practical for this repo. Local check.sh is green.
Latest PR !3 pass: fixed the Alpine CI failure caused by PEP 668 / externally managed system Python. The workflow now installs reuse inside a temporary virtualenv instead of pip-installing into the system environment.