v1.0.0

61 agent skills covering the Machine Learning for Trading workflow: data
sourcing and point-in-time correctness, feature engineering and labelling,
purged and combinatorial cross-validation, cost-aware backtesting, portfolio
risk, live trading, and autonomous research operators.

Each skill is a single SKILL.md file pairing a wrong pattern with the correct
one, then handing off to the published ml4t-* libraries where a stable API
exists. No executable scripts, no hooks, no network calls.

Install. Skill discovery is one level deep, so the category directories in
this archive have to be flattened. Unpack it and run ./scripts/install.sh,
which links or copies each skill in as ml4t-<skill-name>.

Checked in CI. Structure and frontmatter, the 120-line limit, the
concept-first rule, an acyclic dependency graph, a regenerated chapter map, and
every ml4t.* name in a Production Implementation snippet against the packages
published on PyPI.