{"id":70593,"plugin_id":"plugin_asdk_app_6ae058ee6cec81919329ae43b76a4c86","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-29T12:07:54.846Z","digest":"0dfba88b9d28a12fc329d8f4eff48e44a0fedf3e8c07f49ab83c9b602c4dd58f","against":null,"payload":{"description":"Solve constrained optimization, resource allocation, capital allocation, scheduling, and decision-science problems with MUSITU Axiom.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":249},{"relative_path":"references/COMMERCIAL.md","size_in_bytes":751},{"relative_path":"references/PROOF.md","size_in_bytes":537},{"relative_path":"references/QUALITY.md","size_in_bytes":2262},{"relative_path":"references/ROUTING.md","size_in_bytes":504},{"relative_path":"scripts/proof_envelope.py","size_in_bytes":1023},{"relative_path":"scripts/scenario_grid.py","size_in_bytes":691}],"name":"musitu-optimization","skill_md_contents":"---\nname: musitu-optimization\ndescription: \"Solve constrained optimization, resource allocation, capital allocation, scheduling, and decision-science problems with MUSITU Axiom.\"\n---\n# MUSITU Optimization\nRead `references/QUALITY.md`.\n\n## Workflow\n1. Formalize objective, variables, bounds, constraints and units.\n2. Check feasibility before solving.\n3. Execute the appropriate exposed optimization capability.\n4. Identify binding constraints.\n5. Run sensitivity on scarce resources and limits.\n6. Compare with a baseline or current policy.\n7. Identify near-optimal alternatives and instability.\n8. Return an implementable decision with feasibility status.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}