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/04_convert_json.md

@@ -0,0 +1,22 @@
+# 04 - Convert to JSON-LD
+
+## Context / Goal
+Produce the ontology-annotated JSON-LD representation of the corpus: the format evaluated for inter-lab data exchange (FAIR). Two variants: (a) full - bulk points embedded; (b) hybrid - metadata JSON-LD with `sourceFile` links to CSV.
+
+## Dependencies
+03 (`./out/csv/`, MANIFEST.csv).
+
+## Input
+CSV tree.
+
+## Processing instructions
+- `@context`: project vocab `https://sandia.gov/ontology/tribology#` + QUDT units + PROV-O provenance; predicates `partOf`, `cutFrom`, `performedOn`, `performedBy` as `@id` links.
+- Entity classes: `Batch, Wafer, Coupon, Instrument, CompositionMeasurement, NanoindentationMeasurement, AFMMeasurement, ProfilometryMeasurement, FrictionTest (track), FrictionCycle, FrictionLoopPoint, WearMeasurement, SimtraProfile, Run`.
+- Variant FULL: one JSON-LD file per coupon (embedding its tracks/cycles/loops), compact serialization (no pretty-print). Directory `./out/json/full/`.
+- Variant HYBRID: single `./out/json/hybrid/dataset.jsonld` with all metadata entities; cycle/loop arrays replaced by `{"sourceFile": "<relative csv path>", "rows": N, "sha256": "..."}`.
+- Stream-write; validate one sample file with `json.load` + rdflib JSON-LD parse.
+
+## Output
+- `./out/json/full/` (expect ~0.7-1.2 GB), `./out/json/hybrid/dataset.jsonld` (expect < 20 MB).
+- Record byte sizes of both variants into `./out/bench/storage_sizes.csv` (append: format, variant, bytes).
+- Marker `./out/.done/04.ok`.