Update to MUSITU Axiom

{
  "description": "Run CFO, FP&A, budgeting, runway, profitability, pricing, unit-economics, variance, and operating-plan workflows using MUSITU Axiom.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 239
    },
    {
      "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-cfo-fpa",
  "skill_md_contents": "---\nname: musitu-cfo-fpa\ndescription: \"Run CFO, FP&A, budgeting, runway, profitability, pricing, unit-economics, variance, and operating-plan workflows using MUSITU Axiom.\"\n---\n# MUSITU CFO & FP&A\nRead `references/QUALITY.md`.\n\n## Workflow\n1. Normalize actuals, budget, periods and dimensions.\n2. Build a driver bridge for variance.\n3. Compute unit economics using explicit definitions.\n4. Forecast base, upside and downside cases.\n5. Quantify cash runway and liquidity when relevant.\n6. Identify the highest-impact controllable levers.\n7. Calculate decision thresholds for spend, hiring, pricing or capacity.\n8. Return a management action brief with uncertainty.\n"
}