depth-skills

Designs API contracts for consumer experience first — making correct usage obvious and incorrect usage impossible.

Replaces adjectives with evidence, claims with demonstrations, and promises with proof for conversion-oriented writing.

Forces the model to build a genuine prosecution case against its own answer before delivering it.

Detects and corrects objective drift during extended tasks by periodically checking work against the original request.

Decides whether to ask clarifying questions or proceed with an answer, optimizing for information value vs. delay cost.

Self-selects and sequences the right depth-skills proportional to task consequence, preventing both under- and over-analysis.

Cross-compares every claim in an output to detect internal contradictions that sequential generation hides.

Forces the model to interrupt its surface response and activate deeper knowledge pathways before answering.

Verifies whether the problem was correctly identified before solving, auditing pattern matches against first principles.

Forces generation of genuinely different solution paths before committing, preventing single-path pattern gravity.

Analyzes what components create together that none intended — feedback loops, contention, timing bugs, and assumption collisions.

Digs beneath logic to inspect unchecked premises, rating each assumption by collapse severity.

Prevents lossy compression from erasing conditions, exceptions, and uncertainties during summarization.

Flips constraints and beliefs to expose false walls and test plan robustness against inverted worldviews.

Illuminates what the answer never addressed — dimensions, stakeholders, and failure categories invisible from the activation path.

Tags every claim as fact, inference, or guess and computes calibrated confidence to prevent epistemic flattening.

Solves the same problem through multiple independent representations, then triangulates structural truth.

Prevents overthinking by matching cognitive investment to consequence - the intentional opposite of DEEP-THINK.

Uses the Feynman technique - explain simply to detect where knowledge gaps exist.

Evaluates decisions across multiple plausible futures, analyzing option value and temporal regret before commitment.

Gates commitment on irreversible decisions by measuring reversal cost and enforcing proportional exploration depth.

Re-derives every decision for the mobile context — thumb zones, network reality, attention budgets, and input constraints.

Enforces measure-profile-optimize order, preventing intuition-driven optimization of non-bottlenecks.

Anchors product decisions to the user's job-to-be-done before features, architecture, or code.

Enforces characterize-before-change discipline with continuous green tests, separating structural changes from behavioral ones.

Forces data-model-first thinking before service boundaries or code, treating the schema as the geological layer everything else sits on.