Internal shared-reference support package for installed nature-writing, nature-polishing, nature-reader, and nature-paper2ppt skills. Do not invoke it as a standalone user workflow. Load only the specific core or journal-format file requested by another Nature skill.
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model…
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, related-work, method, experiments, discussion, conclusion, title, full manuscript…
Complete architecture patterns, state management with Svelte 5 Runes ($state, $derived, $effect, $props), SvelteKit SSR/streaming pipelines, form actions, and production anti-patterns.
Production-grade architecture patterns, state management, SSR strategies, performance optimization, and anti-patterns for Vue 3 (Composition API) and Nuxt 3 applications.
Best practices for building autonomous robotics software using ROS 2 (Humble/Jazzy) and Nav2. Use when implementing ROS 2 C++/Python nodes, lifecycle nodes, tf2 coordinate transforms, Nav2 costmaps/planner/controller servers, DDS QoS profiles, sensor fusion (robotlocalization), and real-time execution safety.
Engineering patterns for GDPR, CCPA/CPRA, and global data privacy compliance. Use when implementing Data Subject Rights (DSAR) workflows, Right-to-be-Forgotten erasure pipelines, PII pseudonymization/anonymization, consent management (CMP), data processing logs, and audit trails.
Best practices for implementing SOC 2 Type II compliance controls, continuous evidence collection, infrastructure policy-as-code, and automated security monitoring. Use when automating Trust Services Criteria (Security, Availability, Confidentiality, Processing Integrity, Privacy), audit logging, IAM least privilege…
High-performance in-process analytics using DuckDB and Polars, zero-copy Apache Arrow integration, lazy evaluation, SIMD vectorized processing, and out-of-core data pipelines.
Master production PySpark and Apache Spark analytics, distributed data pipelines, Delta Lake/Iceberg optimization, memory management, and skew resolution.
Master high-performance exploratory data analysis (EDA) using Pandas and Polars, missing value profiling, outlier detection, data distribution analysis, correlation matrices, and vectorised pipelines. Trigger when performing EDA, data cleaning, or memory-efficient tabular analysis in Python.
Best practices for Prisma ORM schema design, high-performance query optimization, preventing N+1 problems, zero-downtime database migrations, connection pooling, and multi-tenant data modeling. Use when building Node.js/TypeScript applications with Prisma.
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