@sickn33
chaos is order yet undeciphered zSUVXjYGMTwqSCgQ9GNiji2sBHFvYjB9U836chbpump
319 skills1 repository 48.3K
Plan campaign messages around what customers already know about a problem, available solutions, and a product. Use audience research to assign an awareness stage, then choose suitable language, supporting evidence, and a sequence of messages.
Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.
Design AWS applications that run without managing servers and respond to events. Get guidance on Lambda APIs, asynchronous workflows, retries, monitoring, and scaling, with implementation patterns based on the AWS Well-Architected Framework.
Analyze AWS spending by service, region, and resource tags to find unused resources and oversized configurations. Get specific cost reduction recommendations, estimated savings, and guidance for budgets and ongoing cost monitoring.
Configure and audit AWS users, roles, and access policies. Work through least-privilege permissions, granting only the access needed, along with GitHub Actions authentication, cross-account access, permission boundaries, and checks for unused or excessive access.
Audit an AI agent's completion claims using existing logs, artifacts, approvals, and deployment records. Reconstruct the run and assess each claim separately, distinguishing proven results, partial support, contradictory evidence, and missing proof without rerunning the work.
Configure Amazon S3 storage with encryption, access restrictions, and version history. Set rules for moving or deleting older files, replicate data across regions, create temporary access links, and investigate permission or policy problems.
Review Monte Carlo alerts, score their likelihood of indicating an incident and their potential impact, and investigate likely causes. Use the same stages to design and test a repeatable triage workflow, starting with recommendations before enabling actions.
Identify unused AWS resources, estimate potential savings, and prepare cleanup scripts with preview steps. Covers storage retention policies and scheduled cleanup so teams can review dependencies before removing resources and track the resulting savings.
Build attack trees, diagrams showing paths toward an attacker's goal. Break scenarios into required or alternative steps, assess effort and detectability, and map defenses to identify gaps and prioritize security work.
Research uncertain design choices, algorithms, or API usage through approved web searches or optional ChatGPT consultation. Get concise options with sources, with separate approval required before sending text externally and before implementing a chosen approach.
Plan centralized audit logging for infrastructure and applications. Use configuration examples and checklists to record security events, define retention, assess tamper detection, and connect logs to SIEM platforms, systems that collect and analyze security information.
Guides Avalonia interface layout with Zafiro.Avalonia, using shared styles, reusable components, and purpose-specific containers. Helps reduce repeated XAML, the markup used to define interfaces, and simplify deeply nested layouts.
Plan AWS infrastructure changes by checking application requirements and existing configuration, then selecting guidance from an external skill collection. Produces a reviewable plan covering access permissions, networking, cost assumptions, validation, and rollback.
Store database credentials and API keys in AWS Secrets Manager, configure automatic credential changes, and connect applications to stored secrets. Follow examples for access policies, Lambda rotation functions, and integration with ECS and EKS.
Build and deploy AWS Lambda functions without managing servers. Guidance covers APIs, scheduled jobs, event triggers, permissions, shared dependencies, and performance tuning, with code and command examples for deployment and troubleshooting.
Build AWS applications that run without managing servers directly. Covers Lambda functions, APIs, DynamoDB storage, message-driven workflows with SQS/SNS, deployment through SAM/CDK, and reducing the delay when a function starts for the first time.
Deploy and operate AI agents with AWS Bedrock AgentCore. Choose services for hosting agents, connecting external APIs, managing credentials and conversation state, monitoring activity, and assessing agent quality through automated evaluations.
Design autonomous coding agents with patterns inspired by Cline and OpenAI Codex. Explore tool calling interfaces, permission and approval systems, browser automation, and workflows where people review or guide the agent's actions.
Build content-focused websites with Astro, including blogs, documentation, and portfolios. Organize Markdown or MDX content, generate static pages, and add interactive components only where needed, with guidance on routing, shared layouts, and server-rendered pages.
Support product planning for Auri, a voice assistant combining Alexa and Claude. Covers product vision, the Vitoria Neural persona, AWS architecture, service tiers, a four-phase roadmap, market launch planning, success metrics, and competitive analysis.
Structure Avalonia applications with ReactiveUI and Zafiro patterns for ViewModels, the objects that manage screen state and logic. Build multi-step wizards, organize navigation, report command progress, and connect screen layouts to their supporting logic.
Implement or review login and access controls for applications and APIs. Helps define token lifetimes, session handling, and permissions for specific resources, with checks for user identity, organization boundaries, credential storage, and authentication failures.
Build and maintain an inventory of hardware, software, and cloud resources. Use guidance on automated discovery, ownership records, tagging checks, and integration with a configuration database to support operations and audit preparation.
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