ci(release): three fixes after the first v0.1.0 attempt

Three blockers surfaced when the first tag actually ran the pipeline:

1. PyPI sdist build refused the `readme = "../../README.md"` path
   in bindings/python/pyproject.toml. maturin sdist forbids `..`
   inside archive entries. Solution: add a Python-specific README at
   bindings/python/README.md (covers the Python install + pointers to
   the main repo) and point the project.readme key at the local file.

2. Node publish job hit ENOENT on npm/<platform>/wickra.<...>.node
   because napi's per-platform scaffolding directories did not exist
   yet when `napi artifacts` ran. Insert `napi create-npm-dirs` as
   its own step before `napi artifacts` so the platform package layout
   is in place before binaries get moved into it.

3. and 4. (crates.io email + npm 2FA-bypass) are registry-side account
   settings that have to be done in the user's browser; no code change
   needed for those. They'll be sorted before the next tag push.

bindings/python/README.md

@@ -0,0 +1,54 @@
+# Wickra — Python bindings
+
+Streaming-first technical indicators powered by a Rust core.
+
+```bash
+pip install wickra
+```
+
+## Quick start
+
+```python
+import numpy as np
+import wickra as ta
+
+# Batch — TA-Lib-style usage
+prices = np.linspace(100, 200, 1000)
+rsi = ta.RSI(14).batch(prices)            # NumPy array; NaN during warmup
+
+# Streaming — feed ticks one at a time
+rsi = ta.RSI(14)
+for price in live_prices:
+    v = rsi.update(price)                 # O(1) per tick
+    if v is not None and v > 70:
+        ...
+```
+
+## What's included
+
+25 streaming-first indicators across four families. Every one passes a
+`batch == streaming` equivalence test and reference-value tests:
+
+- **Trend** — SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA
+- **Momentum** — RSI (Wilder), MACD, Stochastic, CCI, ROC, WilliamsR, ADX,
+  MFI, TRIX, AwesomeOscillator, Aroon
+- **Volatility** — BollingerBands, ATR, Keltner, Donchian, PSAR
+- **Volume** — OBV, VWAP
+
+## Why streaming-first matters
+
+Classic TA libraries are batch-only: every live tick triggers a full
+recomputation over the entire history. Wickra updates indicator state in
+O(1) per tick. On a 5K-bar history the streaming RSI gap is ~17× over the
+nearest peer with a streaming API and 100×+ over batch-only libraries.
+
+## Full project
+
+See <https://github.com/kingchenc/wickra> for benchmarks, the Rust core,
+Node.js and WebAssembly bindings, examples, and CI.
+
+## License
+
+Licensed under the **PolyForm Noncommercial License 1.0.0**. Personal,
+research, educational, and non-profit use are all permitted. Commercial
+sale requires a separate license — contact via the GitHub repo.

bindings/python/pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "maturin"
 name = "wickra"
 version = "0.1.0"
 description = "Streaming-first technical indicators: incremental, fast, install-free."
-readme = "../../README.md"
+readme = "README.md"
 license = { text = "PolyForm-Noncommercial-1.0.0" }
 requires-python = ">=3.9"
 keywords = ["finance", "trading", "indicators", "technical-analysis", "ta-lib"]