Skill UI

Generates comprehensive, structured documentation for microservices or internal platforms. This skill covers service identity, architecture context, APIs, SLAs, data classification, and operational runbooks, making it ideal for developer portals, service READMEs, and internal service registries. It ensures new team members can quickly understand how to use and depend on a shared service.

This skill guides the creation of a comprehensive Service Level Objective (SLO) document. It helps define Service Level Indicators (SLIs) by identifying critical user journeys and measuring key metrics like success rate and latency. It calculates the allowed "error budget" and establishes a burn rate policy to maintain service reliability while enabling feature velocity and principled trade-offs.

This skill generates a comprehensive technical debt register for any team or service. It guides users to input critical data points (e.g., business impact, effort, tech stack) and produces a structured report that categorizes debt (Architecture, Security, Testing, etc.). The output includes a calculated priority score and a quarterly debt reduction roadmap, enabling deliberate, business-aware engineering decision-making.

A comprehensive framework designed for formal procurement decision-making. This skill guides the creation of a weighted scorecard and detailed evaluation criteria by assessing functional fit, commercial terms, security compliance, and vendor stability. Use this when conducting RFPs, comparing multiple suppliers, or making critical software/service provider choices to ensure a holistic, risk-mitigated recommendation.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.

This tool audits Kubernetes Role-Based Access Control (RBAC) configurations to systematically identify overly permissive roles, dangerous wildcards, and insecure ClusterRoleBindings. It helps pinpoint potential privilege escalation paths, service account abuses, and compliance gaps in EKS, GKE, and AKS clusters, ensuring adherence to the principle of least privilege.

This solution provides a comprehensive framework for detecting compromised cloud credentials across AWS, Azure, and GCP. It analyzes anomalous API activity, impossible travel patterns, and indicators of credential stuffing by leveraging services like AWS GuardDuty, Azure Defender, and GCP SCC. Use this when investigating suspicious cloud API calls, responding to exposed credential alerts, or scoping a potential account takeover.

This skill guides users through hardening LDAP directory services against critical security vulnerabilities, such as LDAP injection, credential harvesting, and anonymous binding bypass. It covers implementing robust security controls including LDAPS enforcement, channel binding, and LDAP signing, essential for maintaining compliance and securing identity infrastructure in regulated environments.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

This skill guides the implementation of dynamic secrets using HashiCorp Vault. It focuses on generating short-lived, ephemeral credentials for services like databases (PostgreSQL, MySQL), AWS IAM, and PKI certificates. By automating credential generation, lease management, and rotation, it eliminates the risk associated with storing long-lived static secrets, ensuring compliance with zero-trust security models (PCI-DSS, NIST).

A specialized tool for blockchain forensics, designed to trace the movement of ransomware payments across public blockchains (like Bitcoin). By leveraging APIs from services like Chainalysis and WalletExplorer, it identifies wallet clusters, tracks funds through mixers and tumblers, and maps fund flow from the victim to final exchange deposits. Essential for law enforcement attribution and threat intelligence gathering.

A comprehensive security auditing tool designed to identify over-permissive Role-Based Access Control (RBAC) roles and potential service-account token abuse paths within a Kubernetes cluster. It systematically reviews cluster bindings, effective permissions, and common escalation primitives using advanced tools like `kubectl auth can-i`, `rbac-police`, and `rakkess`, ensuring adherence to the principle of least privilege.