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_old/05_schema_grouping.md

@@ -0,0 +1,16 @@
+# Task 05 — Schema Grouping & Inconsistency Report
+
+## Goal
+Enumerate distinct record structures per measurement type; expose structural inconsistencies.
+
+## Input
+- `manifest/tokens.jsonl`, `manifest/schema_profiles.jsonl`.
+
+## Actions
+1. Write `scripts/group_schemas.py`: group files by `measurement_type × fingerprint`.
+2. Emit `manifest/fingerprint_report.md` per measurement type: list of distinct fingerprints, file count each, canonical column set each, column-name diffs between fingerprints (added/removed/renamed candidates), dtype conflicts.
+3. Emit `manifest/inconsistencies.csv`: one row per detected inconsistency `{measurement_type, kind(column_set|naming|dtype|placement), fingerprints involved, example files}`.
+
+## Intermediate Result (done when)
+- The number of distinct schemas per measurement type is known and documented.
+- `inconsistencies.csv` complete — this is the work queue for Task 07.