Skill UI

A tool designed for persistent context management within AI coding sessions. Memory Kit solves the problem of context loss that occurs during compaction or session restarts by saving, loading, updating, and sharing critical session state to a dedicated `MEMORY.md` file. Key functions include creating snapshots of goals and decisions, syncing context across team members via Git, and auditing/pruning stale entries, ensuring continuous workflow and knowledge retention.

Configure comprehensive, enterprise-grade access control for Miro via REST API v2. This module manages organization structure, team membership, and granular board permissions (RBAC). It supports advanced features like automated user provisioning using SCIM 2.0 and SSO integration, making it essential for implementing secure, scalable collaboration platforms in large corporate environments.

A comprehensive guide for migrating complex Miro board data across teams and organizations. It covers exporting board content—including items, connectors, tags, and members—to structured JSON files, and bulk-importing data into Miro using the REST API v2. Ideal for re-platforming from competing whiteboard tools or updating large-scale, legacy v1 integrations.

This guide provides advanced best practices for optimizing interactions with the Miro REST API v2. It covers essential patterns like cursor-based pagination to prevent over-fetching, implementing robust caching strategies (In-Memory/Redis) for reduced latency, and managing connections and concurrency for reliable bulk operations. It is designed for building scalable, high-throughput, and efficient integrations into Miro.

This comprehensive checklist provides a deep dive into Endpoint Detection and Response (EDR) architecture and monitoring mechanisms. It details advanced evasion techniques, such as direct syscalls, AMSI bypass, kernel patching, and memory manipulation. This skill is essential for red team engagements, penetration testing, and advanced malware research to thoroughly assess and bypass modern security defenses.

This comprehensive guide covers advanced fuzzing methodology, a core technique in exploit development. Learn how to use coverage-guided fuzzing with powerful tools like AFL++ and libFuzzer to automatically discover critical security vulnerabilities, such as memory corruption bugs. Ideal for setting up robust fuzz campaigns, optimizing corpus generation, and triaging complex vulnerability outputs.

This comprehensive guide serves as a reference for offensive security professionals developing custom x86/x64 shellcode. It details advanced concepts including Position-Independent Code (PIC), PEB traversal for API resolution, safe memory allocation (avoiding RWX), and sophisticated process injection methods (e.g., APC injection, threadless techniques). Learn how to bypass modern AV/EDR detection using advanced evasion techniques like API hashing, encryption, direct syscalls, and abusing PE structures.

A deep-dive curriculum into core memory corruption vulnerability classes, covering topics like stack/heap buffer overflows, Use-After-Free (UAF), integer overflows, and format strings. This guide uses real-world CVE case studies (e.g., QNAP, Chrome) to illustrate attack vectors, impact analysis, and modern mitigation techniques. Ideal for cybersecurity professionals, penetration testers, and students learning exploit development.

Programmatically query Oracle Cloud Infrastructure (OCI) metrics using the Monitoring Query Language (MQL) and create monitoring alarms via the Python SDK. This skill bypasses the limitations of the OCI console query builder, allowing reliable retrieval of key infrastructure metrics such as CPU utilization, memory usage, network traffic, and disk I/O. Ideal for building robust dashboards, automating resource monitoring, and setting up complex alerting rules.

This guide provides production-grade patterns for using the Oracle Cloud Infrastructure (OCI) Python SDK. It addresses critical issues such as preventing Instance Principal memory leaks by implementing a thread-safe singleton client pattern, configuring explicit connection and read timeouts, and implementing robust exponential backoff retry strategies for transient errors (429, 5xx). Essential for building reliable, long-running OCI services.

This comprehensive guide provides quick, actionable solutions for the top common Palantir Foundry API and data transformation errors. It covers critical issues such as 401 Unauthorized, 403 Forbidden, ObjectTypeNotFound, and OutOfMemoryError. By offering specific code examples and best practices, this resource helps users efficiently debug and resolve complex issues in their Foundry pipelines.

This guide provides advanced techniques for optimizing performance within Palantir Foundry. It covers efficient pagination, implementing client-side caching, using batch object retrieval (solving the N+1 problem), and tuning Spark transforms with memory configuration and incremental updates. Use this when experiencing slow API responses or inefficient data pipeline builds in Foundry.