dsh-strength-refine

A vague, high-level goal —— mastering a domain, solving a cross-disciplinary problem, onboarding into a new field —— usually ends in the soft verdict of "I think I know enough." dsh-strength-refine replaces that intuition with a verifiable artifact: through guided clarification and a layered gate workflow (clarify, then decompose, self-check, and approve level by level, then a final audit, and finally archiving), it produces a hierarchical capability-point tree where every leaf carries an acceptance criterion built from four elements (action, object, pass/fail criterion, and evidence) and a four-part proof (definition, necessity, coverage, boundary) demonstrating that the tree fully covers the original requirement with no true redundancy.

The internal logic of the tree is made explicit: leaves are linked by a prerequisite DAG, collaborative argument clusters, or alternative paths; cross-level proof chains are consolidated in a final audit; the archive includes a learning-path suggestion traced along the logic graph; and four Mermaid diagrams render natively in Obsidian. What you receive is not a to-do list but a capability proof —— every node checkable, every edge accounted for.

Ideal for self-directed learners, knowledge workers, and technical leads who need to model, communicate, and validate competencies, especially anywhere the question shifts from "do I roughly get it?" to "can I pass the check on each capability point, right now?"