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initlisted

Initialize Draft project context for Context-Driven Development — the single, scope-aware entry point (works at the repo root or inside any sub-module; no separate index command). Builds the root-first code-graph knowledge memory (draft/graph/, with a module→root link) and creates product.md, tech-stack.md, workflow.md, tracks.md, architecture.md (brownfield), .ai-context.md (derived), and .ai-profile.md. Supports --graph-only (graph memory only, no markdown) and --module-only. Use when the user asks to 'init draft', 'set up Draft for this project', 'bootstrap context', 'build the code graph', or says 'start using Draft', 'I want to use Draft here'.
drafthq/draft · ★ 40 · Code & Development · score 78
Install: claude install-skill drafthq/draft
# Draft Init Initialize a Draft project for Context-Driven Development. ## Red Flags - STOP if you're: - Re-initializing a project that already has `draft/` without using `refresh` mode - Skipping brownfield analysis for an existing codebase - Rushing through product definition questions without probing for detail - Auto-generating tech-stack.md without verifying detected dependencies - Not presenting .ai-context.md for developer review before proceeding - Overwriting existing tracks.md (this destroys track history) - **Producing copy-paste module descriptions** — if 3+ modules share identical Responsibilities or description text, you have NOT analyzed the source files - **Writing sequence diagrams under 15 lines** of Mermaid code — shallow diagrams without alt/opt blocks, payloads, and error paths are useless - **Writing module deep-dives that ignore the graph or lack a workflow/state diagram** — the graph is ground truth; every significant module must have at least one synthesized diagram showing its primary flow or lifecycle. Prose volume without diagram fidelity is a failure. - **Using "See X/" or "follow BUILD patterns"** as a substitute for reading actual source files and documenting real content - **Ignoring detected high-quality existing agent context** (e.g. CLAUDE.md + docs/INVARIANTS.md written explicitly for AI agents) and regenerating large volumes of duplicative prose instead of a graph-primary overlay with strong cross-references and explicit Relationship se