fix(dashboard): handle dict-shaped _catalog.json (v4.3+ schema)

[NestorPVsf]

Summary

collect_skills() in core/_generate-dashboard.py assumed _catalog.json is a flat list, but the v4.3+ schema uses a dict with globalSkills / librarySkills arrays. Iterating over a dict yielded its keys (strings), so the very first /dashboard-sinapsis run on any fresh v4.4.1 install crashes with:

AttributeError: 'str' object has no attribute 'get'
  File "_generate-dashboard.py", line 130, in collect_skills
    stubs = sum(1 for s in cat if s.get('description', '').startswith('(auto-generated'))

Fix

collect_skills() now detects both shapes:

• dict (v4.3+) → sum globalSkills + librarySkills, derive real global count
• list (legacy) → unchanged fallback behaviour
• All .get() calls guarded with isinstance(s, dict) so mixed content never crashes

Reproduction

1. Fresh install of v4.4.1 (bash install.sh)
2. python ~/.claude/skills/_generate-dashboard.py → AttributeError
3. After patch → dashboard generated cleanly with real skill counts

[OK] Dashboard written: ~/.claude/skills/_dashboard.html
     Skills:      3  (3 global / 0 complete / 0 stubs)

Test plan

• Reproduced crash on real user install (v4.4.1)
• Patched file, regenerated dashboard — all 8 KPIs populated
• Maintainer: run tests/test-dashboard.sh (I didn't update the fixture — worth confirming the existing 12 tests still pass; the fix is backwards compatible with list-shaped input)

Related to #4 (v4.4.0 dashboard introduction). Follows the pattern of #3 (upstream regression sweep).

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