Move all three skills into skills/; add root README; fix paths

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

skills/rpa-dashboard-ai/templates/web/bands.py

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+"""Confidence bands: the single source of truth for the cut points.
+
+Copy this file into the backend. Everything that needs a band (the review queue,
+an exported sheet, the approve gate) imports from here, so they never disagree
+about what counts as red.
+
+    GREEN  >= 0.95   clean print, straight through
+    AMBER  0.90-0.95 slightly unclear, check it
+    RED    <  0.90   handwriting or a messy scan
+    BLANK            a mandatory field with no value
+    UNSCORED         no word scores came back for the value
+
+The approve gate: every field that isn't green must be verified by a person before the
+run can be approved (needs_review). Amber is not sampled; it is checked like red.
+
+Calibration (from the prototype these rules came from): crisp print scored 0.90 and
+up, handwriting clustered in 0.80-0.89, and 0.70-0.79 was empty. 0.90 sits in that
+gap. 0.95 splits off the slightly unclear 0.90-0.95 reads from clean print.
+
+What a band claims: the score is the model's own legibility rating. Green means the
+text was read cleanly, NOT that the value is correct; a confident misread scores
+green. Red is the useful direction: it reliably surfaces handwriting.
+"""
+from __future__ import annotations
+
+from typing import Iterable, Optional
+
+GREEN_THRESHOLD = 0.95
+CONFIDENCE_THRESHOLD = 0.90
+BANDS = ("green", "amber", "red", "blank", "unscored")
+
+
+def band_of(score: float) -> str:
+    if score >= GREEN_THRESHOLD:
+        return "green"
+    return "amber" if score >= CONFIDENCE_THRESHOLD else "red"
+
+
+def field_band(word_scores: Optional[Iterable[float]], value: Optional[str], mandatory: bool = False) -> str:
+    """A field's band. It takes its WORST word score, so one shaky word can't hide in
+    a clean-looking field. A blank mandatory field is flagged whatever its score."""
+    if mandatory and not (value or "").strip():
+        return "blank"
+    scores = list(word_scores or [])
+    return band_of(min(scores)) if scores else "unscored"
+
+
+def needs_review(band: str) -> bool:
+    """Every band but green must be verified by a person before the run can be approved."""
+    return band != "green"