Simplify CLAUDE.md and streamline usage

Condense CLAUDE.md by removing detailed build, test, architecture, release, and pre-commit sections; add a concise 'How to run' example and a brief 'Configuration' heading to surface primary CLI usage and simplify the documentation.

CLAUDE.md

@@ -2,61 +2,11 @@
 
 You are a **principal Python engineer** maintaining a CLI tool and library for removing visible and invisible AI watermarks from images.
 
-## Build & Run
+## How to run
 
-```bash
-uv pip install -e .            # base install (visible removal + metadata)
-uv pip install -e ".[gpu]"     # + invisible removal (torch, diffusers, ultralytics)
-uv pip install -e ".[dev]"     # + dev tools (pytest, ruff, pyright)
-```
+- `uv run remove-ai-watermarks all <image.png> -o <output.png>`
 
-## Test & Lint
+## Configuration
 
-```bash
-uv run pytest                  # run tests
-uv run ruff check --fix        # lint
-uv run ruff format             # format
-uv run pyright                 # type check
-./maintain.sh                  # all of the above + dependency audit
-```
-
-## Architecture
-
-- `src/remove_ai_watermarks/` — main package (src-layout, hatchling build)
-- `cli.py` — Click CLI with commands: `visible`, `invisible`, `metadata`, `all`, `batch`
-- `gemini_engine.py` — visible watermark: reverse alpha blending + NCC detection
-- `invisible_engine.py` — invisible watermark: diffusion regeneration wrapper
-- `metadata.py` — EXIF/PNG/C2PA metadata detection and stripping
-- `humanizer.py` — film grain + chromatic aberration (analog humanizer)
-- `face_protector.py` — YOLO face detection + soft-blend restoration
-- `noai/` — vendored invisible removal core (watermark_remover, cleaner, ctrlregen/)
-- `assets/` — embedded alpha maps (gemini_bg_48.png, gemini_bg_96.png)
-- `tests/` — pytest suite (uses tmp_path, no external data deps)
-
-## Key Conventions
-
-- Python 3.10+, ruff line-length 120, pyright strict mode, type hints everywhere
 - GPU/ML modules (invisible_engine, ctrlregen, watermark_remover) are optional — guard imports with `is_available()` checks
 - Tests for ML modules are limited to availability checks (require multi-GB downloads)
-- Use `uv` for all package operations, never raw `pip`
-- `_refs/` directory is excluded from all checks — contains third-party reference code
-
-## Release Process
-
-To release a new version (X.Y.Z):
-1. Run all checks (`./maintain.sh`)
-2. Update version in `pyproject.toml` and `src/remove_ai_watermarks/__init__.py`
-3. Commit: `chore: bump version to X.Y.Z`
-4. Tag: `git tag vX.Y.Z`
-5. Push: `git push origin main && git push origin vX.Y.Z`
-
-GitHub Actions will automatically create a GitHub Release with build artifacts.
-
-## Pre-commit Hook
-
-Git hooks live in `.githooks/`. Run `./maintain.sh` once to activate them (sets `core.hooksPath`). The pre-commit hook runs ruff check, ruff format --check, and pytest.
-
-## Language
-
-- Code, comments, docstrings, commits, docs: English only
-- Communication with the user: Russian

uv.lock

@@ -2015,7 +2015,7 @@ wheels = [
 
 [[package]]
 name = "remove-ai-watermarks"
-version = "0.3.2"
+version = "0.3.3"
 source = { editable = "." }
 dependencies = [
     { name = "click" },