Scaffold platforms, services, and AI agent wiring (Cursor/Claude) for YJ architecture repos.
Project description
yjcli
Self-contained CLI (uv + pyproject.toml) that scaffolds YJ platform folders, services, and Cursor/Claude agent wiring.
All templates, skills, and rules ship inside the package (src/yjcli/data/).
Develop
cd yjcli
uv sync
uv run yjcli --help
Test / Publish (workspace root)
Sibling tools/ holds smoke-test and publish helpers (not committed with this package).
make test # tools/test_yjcli.py smoke checks
# edit tools/.env
UV_PUBLISH_TOKEN=pypi-... # https://pypi.org/manage/account/token/
# UV_PUBLISH_TOKEN_TEST=pypi-... # optional TestPyPI token
make build
make clean
make deploy-dry / deploy-test-dry # uv publish --dry-run
make deploy-test # TestPyPI
make deploy # PyPI
Package version is set in pyproject.toml / src/yjcli/__init__.py.
Commands
# Bootstrap current directory: AGENTS.md/CLAUDE.md, .cursor/.claude skills+rules,
# root Makefile/.gitignore, then create selected platform roots.
uv run yjcli init
uv run yjcli init --all
uv run yjcli init -p backend -p frontend
uv run yjcli add platform # interactive: add missing platforms
uv run yjcli add platform --all
uv run yjcli add platform -p cli
uv run yjcli add service # interactive
uv run yjcli add service -p backend -n api
uv run yjcli doctor # packaged asset sanity check
uv run yjcli --version
Agent assets are copied from the package into the target repo (no .agent folder).
Re-run yjcli init --force (or answer overwrite prompts) to refresh skills/rules.
Project details
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