feat(prompt-optimization): implement Data Layer MVP and Tool Alignment dataset

Established the "Heart" of the Prompt Optimization Pipeline by building a robust,
extensible data infrastructure and a high-fidelity golden dataset.

Key improvements:
- Core Schema: Defined the `Scenario` interface in `data/schema.ts` supporting
  multiple negative failure modes, platform-specific shell contexts (Unix/Win32),
  and strict tool-call typing.
- Optimization Manifest: Created `data/manifest.json` to define "No-Fly Zones"
  for the optimizer, protecting literal tool names and template variables, while
  providing descriptive context for validation.
- Tool Alignment Dataset: Authored 113 scenarios in `data/tool_alignment.jsonl`
  across 20 tools, focusing on "Built-in over Shell" preference. Heavily weighted
  `replace` (12) and `write_file` (10) to enforce surgical editing.
- Extensible Validator: Implemented `scripts/validate-data.ts` to provide
  real-time integrity checks and purpose-driven coverage reports.
- Project Integration: Added `data:validate`, `data:format`, and `data:lint`
  scripts to package.json and updated ESLint config to cover the data directory.

eslint.config.js

@@ -68,7 +68,7 @@ export default tseslint.config(
   },
   {
     // Rules for packages/*/src (TS/TSX)
-    files: ['packages/*/src/**/*.{ts,tsx}'],
+    files: ['packages/*/src/**/*.{ts,tsx}', 'data/**/*.ts'],
     plugins: {
       import: importPlugin,
     },