fix(docs): fix formatting issues in README.md

- adapt meta-/code-/obs- rules to the local Python benchmark pipeline
- replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents
- add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks
- normalize specs and README typography to ASCII per code-data-formatting
- rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore
- specs: pipeline plan and task specs 00-11
- rules: 19 binding rule files adapted for this project
- docs: CLAUDE.md rule-trigger table
- config: .cursorrules commit convention, .gitignore excluding out/ and .venv/
- docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders
- config: requirements.txt for the closed dependency list
- datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker

docs/specs/03_csv_data_generation.md

@@ -0,0 +1,46 @@
+# 03 - Simulated CSV Data Generation (~150 MB)
+
+## Context / Goal
+Generate the canonical raw dataset as a hierarchical CSV file tree, exactly as instruments would write it. This corpus is the single source for all conversions and benchmarks. Target size: 140-170 MB.
+
+## Dependencies
+01 (`lab_config.yaml`).
+
+## Input
+`./out/config/lab_config.yaml` - volumes, deposition matrix, physical model coefficients, seed 20260711.
+
+## Processing instructions
+Write `generate_data.py` (tabs for indentation, pure stdlib + numpy). Stream rows; never hold the full cycle dataset in memory. Use `random.Random(seed)` / `numpy.random.default_rng(seed)` only.
+
+### File tree to produce
+```
+out/csv/
+├── batches.csv                      # 4 rows: deposition params
+├── simtra/
+│   └── simtra_profile_<batch>.csv   # 4 files, 1000 rows each: angle, energy_eV, pt_flux, au_flux
+├── batch_<B>/wafer_<W>/
+│   ├── wafer_info.csv
+│   └── coupon_<C>/
+│       ├── coupon_info.csv          # position on wafer, thickness_um, ra_nm, assigned run/plate/probe/square or RESERVE
+│       ├── xrf_map.csv              # 400 rows: grid_x, grid_y, pt_wtpct, au_wtpct
+│       ├── profilometry.csv         # 100 rows: grid_x, grid_y, thickness_um
+│       ├── nanoindentation.csv      # 25 rows: indent_id, x_um, y_um, hardness_GPa, reduced_modulus_GPa, max_load_mN
+│       ├── afm.csv                  # 1 row: ra_nm, rq_nm, image_file (synthetic path)
+│       └── track_<T>/               # only for 480 friction coupons, T in 1..3
+│           ├── track_info.csv       # run_id, environment, load_mN, stroke_mm, speed_mm_s, counterface_id, started_at
+│           ├── cof_vs_cycle.csv     # 1000 rows: cycle, cof
+│           ├── friction_loops.csv   # 2000 rows: cycle (every 100th), position_um (200 pts), friction_force_mN
+│           └── wear.csv             # 1 row: wear_volume_um3, k_archard, sliding_distance_m
+└── runs.csv                         # 4 rows: run_id, environment, date, plates, operator
+```
+
+### Value generation
+Apply exactly the physical models of task 01 (gradient Au%, run-in COF, hardness/modulus vs Au%, Archard wear). COF must correlate with the coupon's mean Au% and the run environment so that Q2/Q3/Q7 benchmarks return physically meaningful results.
+
+### Size control
+Expected: cycles 1.44 M rows (~30 MB) + loops 2.88 M rows (~95 MB) + XRF 235 K rows (~8 MB) + remainder (~10 MB) ≈ 150 MB. After generation, print actual tree size; abort with error if outside 120-200 MB.
+
+## Output
+- Full tree under `./out/csv/` (~150 MB).
+- `./out/csv/MANIFEST.csv`: file path, rows, bytes, sha256 - used by conversion tasks for validation.
+- Marker `./out/.done/03.ok` with total rows/bytes.