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This master prompt library redefines the productivity standard for modern systems engineers. Each instruction has been meticulously calibrated to address the industry's most critical challenges, from architecting scalable microservices to hardening cloud infrastructures. With a practical and technical approach, this collection allows you to automate complex processes, guaranteeing impeccable documentation and high-performance code. Empower your workflow with tools designed for strategic precision. This collection not only facilitates the creation of robust systems, but optimizes project evaluation and technical debt management, allowing teams to achieve development milestones with greater agility. Turn artificial intelligence into your strategic ally to lead technological projects of global impact.
He acts as a Senior Security Engineer and DevSecOps Specialist with extensive experience in Software Supply Chain Security. Your fundamental mission is to perform a deep and exhaustive technical audit of the project dependencies based on [TECHNOLOGY/LANGUAGE] to identify known vulnerabilities (CVEs), obsolete libraries (EOL) and structural risks in the transitive dependency tree. The ultimate goal is to provide a clear map of security technical debt and an action plan to mitigate deficiencies in the software lifecycle. Start by analyzing the dependency manifest provided in the [MANIFEST_FILE_CONTENT] variable. For each vulnerability identified, you must perform an assessment based on the CVSS v3.1 standard, classifying the risk as Critical, High, Medium or Low. It is crucial that you determine, through logical reasoning, the reachability of the vulnerability: is the project code likely to invoke the vulnerable library function in the context of [SPECIFIC_USE_CASE]? Don't just report versions; explains the specific attack vector and potential impact on the system. Develop a Prioritized Remediation Matrix that segregates actions into three levels of intervention. First, identify 'Low Risk Updates' (minor patches or security patches that respect SemVer). Second, detail 'Structural Updates' that involve major version breaks (Breaking Changes), specifying which parts of the current [SYSTEM_NAME] code could be affected. Third, it recommends 'Dependency Replacement' for those libraries that are in a state of abandonment or have a recurring history of security incidents without timely patches. It concludes with a Technical Debt Status Report for the Systems Engineering management. This report should include an estimate of the mitigation effort and an automation proposal for the CI/CD pipeline using Software Composition Analysis (SCA) tools. Define clear governance policies, such as the maximum allowed threshold of [MAXIMUM_CVSS_THRESHOLD] before blocking a deployment in the [TARGET_ENVIRONMENT_PROD_STAGING] environment. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Acts as a Senior Performance Engineer specialized in virtual machine optimization and low-level memory management. The current system, developed on [Language/Runtime such as Java 17, .NET 6, or Go], is facing performance degradation under heavy workloads, manifesting in unacceptable 99th percentile (P99) latencies due to inefficient garbage collector cycles. Your mission is to design a customized "Tuning Garbage Collector" strategy that balances system throughput with the stability of memory consumption in an [Environment Type: Kubernetes, Cloud Instance, Bare Metal] environment. It starts with a deep diagnostic by requesting and analyzing specific telemetry metrics such as total pause time (Stop-the-World), frequency of major collections (Full GC), and object survival rate between generations. It explains in detail how to configure the runtime to collect this data using specific flags such as [-XX:+PrintGCDetails, -Xlog:gc or equivalent] and how this data should be interpreted to identify critical bottlenecks such as excessive fragmentation or Premature Promotion of objects. Propose an optimized garbage collector configuration based on the application load profile: [Transactional Loading / Batch Processing / Real-Time Streaming]. If the goal is low latency, develop a comprehensive configuration for [Suggested Algorithm: e.g. ZGC, G1GC or Shenandoah], detailing critical parameters such as the size of the regions, the occupancy threshold for the start of the concurrent marking cycle and the allocation of collection threads. Justify each parameter based on the memory architecture of the available hardware ([Number of CPUs] and [Total RAM]). Finally, it establishes a technical validation and continuous monitoring protocol. Defines which key indicators (KPIs) should be monitored after applying the adjustments, such as the memory allocation ratio vs. the cleaning capacity of the collector. Provides guidance on how to perform controlled stress tests to verify that the new configuration does not induce OutOfMemory (OOM) errors under unexpected traffic spikes and how to automate the capture of 'Heap Dumps' upon critical failures. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Acts as a Senior Distributed Systems Architect with extensive experience in implementing critical infrastructure for [NOMBRE_DEL_PROYECTO]. Your mission is to design a robust replication architecture using the [MOTOR_DB] database engine (for example: PostgreSQL, MongoDB, Cassandra) that guarantees the integrity of the information across a cluster of [NUMERO_NODOS] nodes distributed in the [PROVEEDOR_CLOUD] infrastructure. The design should explicitly address the trade-off between latency and coherence, analyzing how the choice of a [TOPOLOGIA_REPLICACION] topology (such as Primary-Secondary, Multi-Leader, or Leaderless) will impact read and write operations under [TRANSACCIONES_POR_SEGUNDO] TPS workloads. You must detail the data transport mechanisms, specifying whether you will opt for a transfer based on transaction logs or object-level replication, justifying the technical decision based on the available network infrastructure. Focus on the resilience of the system to partial failures. Defines a failover protocol that minimizes RTO (Recovery Time Objective) and RPO (Recovery Point Objective), establishing clear criteria for the promotion of a follower node to leader and the subsequent reintegration of downed nodes. Explains how network partitioning (Split-brain) scenarios will be handled and what arbitration strategies will be implemented to maintain cluster validity without compromising persistence. Finally, develop a section dedicated to performance optimization, where you propose specific configurations for the operating system and database engine that reduce replication lag in a [CARACTERISTICAS_RED] environment. It includes a monitoring scheme with key metrics such as Replication Lag, message bus throughput and I/O utilization on each replica, ensuring the system is scalable to support projected growth of [PORCENTAJE_CRECIMIENTO]% annually. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 11 reviews
Happy with the purchase. The prompts are useful and practical. I'd buy again.
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Worth every penny. They work just as well in ChatGPT and Claude. Already recommended them to my team.
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Worth every penny. They're easy to adapt to my case by just changing the fields. One hundred percent recommended.