wholeloop-cli 0.1.2

Install WholeLoop agent skills into app repos (Cursor, Claude Code, VS Code)

WholeLoop

WholeLoop is an agentic delivery workflow (ADWF): product specs → user stories (Linear, Jira, or manual) → gated agents in the IDE → implementation → review → PR → handoff.

Portable skills + CLI + docs. No background orchestrator, no n8n — developers run the pipeline in Cursor, Claude Code, or VS Code.

What you get

Area	In this repo
Skills	agents/skills/*/SKILL.md
CLI	pipx install wholeloop-cli → wholeloop init — docs/CLI.md · Publish
Trackers	docs/TRACKERS.md — Linear, Jira, manual
Spec template	references/SPEC.template.md (product repo)
Conventions	references/PROJECT_CONVENTIONS.template.md
Workflow	docs/WORKFLOW_PRODUCT_LINEAR.md

Principles

1. Spec in product repo — Stories in your issue tracker (or manual list).
2. One run per story — workspace/runs/<story-key>/context.json.
3. Human gates — After spec-validator and planner (and PR when applicable).
4. IDE-native — Skills + MCP or pasted stories; no WholeLoop server to deploy.

Quick start

1. docs/WORKFLOW_PRODUCT_LINEAR.md
2. pipx install wholeloop-cli from PyPI (or pipx install git+https://github.com/wholeloop-ai/WL-IDE-setup.git)
3. In your app: wholeloop init → wholeloop doctor
4. Edit .agents/skills/references/project-conventions.md
5. Product repo: references/SPEC.template.md → specs/

docs/SETUP_NEW_PROJECT.md · docs/IDE_SETUP.md · GUIDELINES.md

License

MIT — see LICENSE.

Contributing

See CONTRIBUTING.md.