task-forest

# Task Forest ## Purpose Maintain the current workspace's task structure, proposals, history, and progress. Produce one standalone HTML deliverable that a first-time reader can understand without opening another task list or internal file. Use the user's language for task content, proposals, reports, and HTML. Default to Chinese when unknown. ## Portability This skill is agent-agnostic. Install the whole `task-forest` directory in any host-supported skill location, then resolve scripts, references, and assets from the directory containing this `SKILL.md`. Do not assume a specific agent name, skill root, home-directory layout, shell, path separator, or operating system. Use an available Python 3 launcher on the host (`python3`, `python`, or `py -3`). The scripts use the Python standard library and support macOS, Linux, and Windows. To label task history with the calling agent, set `COMPASS_AGENT_NAME` or `AGENT_NAME`, or pass `--actor`; otherwise the neutral value `agent` is used. ## Core Rules 1. Read and write task-forest data only through `scripts/task_forest.py`; never hand-edit `.agent-workbench/task-forest/` canonical files. 2. Use one primary `child_of` parent per node, `contributes_to` for secondary ownership, and `depends_on` for prerequisites. 3. Save graph changes as a proposal and wait for user confirmation before `proposal-apply --yes`. 4. Keep low-confidence inference in a question or proposal. Record material execution drift as a deviation. 5. Write visi...