Skill UI

Generates structured pull request descriptions from git diffs, adds categorized change summaries, review checklists, risk assessments, test notes, and guidance for splitting large PRs.

Analyze cryptographic code to detect operations that leak secret data through execution timing variations. Supports C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript and Python with assembly, bytecode or VM-level inspection.

Manage container registries such as Docker Hub, Amazon ECR, Azure ACR, and Google Artifact Registry. Covers authentication, image push and pull, retention and lifecycle policies, cross-account access, and image scanning for secure DevOps workflows.

This skill facilitates creating GitHub issues with strict acceptance criteria before execution. It ensures tasks are blocked until testable criteria are met, distinguishing between draft, ready, and blocked states. It helps define problem, goal, scope, and dependencies clearly for implementation tracking.

An analytical framework for Chinese-canonical structural diagnosis of complex relationships, organizations, and public disputes. It separates facts, scale, evidence, responsibility, and action limits to ensure rigorous reasoning. Requires explicit invocation for high-stakes analysis, governance, and long-term evolution scenarios.

Structured Chinese analysis for public issues, platform governance, policy, institutional responsibility, appeals, and compliance evidence, emphasizing source ledgers, evidence downgrades, and weak-signal protection.

Structured Chinese-language teaching of CrossFrame concepts: plain-language explanations, misreading boundaries, observable signals, counter-examples, and micro-exercises to help learners understand rather than stack jargon.

This skill builds a deep psychological profile of target customers based on motivations, fears, identity, and trust barriers. It goes beyond demographics to understand emotional drivers and worldview. Use this before positioning, copywriting, or funnel design to create evidence-grounded profiles that downstream skills can consume. It applies frameworks like self-determination theory and identity mapping to infer the psychological structure underlying consumer behavior.

Expert data engineer specializing in scalable data pipelines, modern data warehouses, lakehouse architectures, and real-time streaming. Proficient in Apache Spark, dbt, Airflow, Kafka, and cloud-native platforms (AWS, Azure, GCP). Focuses on reliable, performant, and cost-effective data solutions with strong emphasis on data quality and governance.

This comprehensive workflow covers the entire database lifecycle, including design, implementation, optimization, migration, and data engineering. It supports SQL and NoSQL technologies like PostgreSQL and MongoDB. Key phases include schema design, ORM setup, query performance tuning, data pipeline creation, quality assurance, and operational management. Ideal for developers and data engineers managing modern data platforms.

Implement comprehensive automated database backup strategies for PostgreSQL, MySQL, and MongoDB. Configure retention policies, recovery testing, and disaster recovery procedures. Includes scripts for logical and physical backups, ensuring data integrity and security. Suitable for DevOps engineers designing backup plans and verifying RPO/RTO requirements.

Authorized security assessment of PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure and TLS review, account role and grantee analysis, dangerous configuration checks (file_priv, xp_cmdshell, COPY PROGRAM, UDF), NoSQL injection, and audit log posture.