What problem does it solve? Starting spec-driven development in a project requires manually detecting the tech stack, test tooling, and conventions, then wiring up persistence and registries by hand. This Skill automates that bootstrap so SDD phases begin from accurate, detected project context instead of guesses. ## Core Features & Use Cases - Stack and Tooling Detection: Inspects package.json, go.mod, pyproject.toml, CI, and lint/test configs to summarize the real stack, test runner, coverage, linter, type checker, and formatter. - Persistence Modes: Supports engram, openspec, hybrid, and none modes, writing Engram observations, openspec/config.yaml, or both as appropriate. - Skill Registry Generation: Scans user-level and project-level skill directories across many agent platforms and builds .atl/skill-registry.md as an index of available skills. - Use Case: A developer starting spec-driven development on an existing Go or Python repo invokes the init phase to detect testing capabilities, resolve Strict TDD mode, and persist project context before running exploration or proposal phases. ## Quick Start Ask the agent to initialize SDD in this project and detect the stack, testing capabilities, and persistence mode.
