Nick

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.

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• Checking whether an agent's completion report has supporting evidence
• Reviewing tool calls, retries, and checkpoint recovery
• Matching approvals and deployments to the same artifact

Review and rewrite prose that feels repetitive, vague, or formulaic while preserving its meaning, evidence, and voice. Get quoted examples of problems, a revised draft, an explanation of edits, and a second review.

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• Polishing an AI-assisted blog draft
• Reviewing documentation for vague wording
• Editing repetitive marketing copy

Provision and manage Amazon RDS relational databases on AWS. Follow guidance for backups, recovery, security, monitoring, multi-zone redundancy, and read replicas—database copies that handle read traffic—with AWS CLI commands and a Terraform configuration example.

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• Deploy a managed PostgreSQL or MySQL database
• Configure multi-zone redundancy and read replicas
• Set up backups and restore to a specific point in time

Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.

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• Estimating monthly AWS costs before deployment
• Investigating unexpected charges and spending trends
• Setting up CloudWatch alarms and investigating logs

Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.

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• Understanding a codebase before a security audit
• Tracing data and state changes across function calls
• Documenting assumptions for an architecture review

Build and refactor AWS infrastructure with TypeScript or Python using AWS CDK, a toolkit for defining cloud resources in code. Get guidance on resource selection, Lambda packaging, stack organization, and checks before deployment.

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• Creating AWS CDK stacks and reusable components
• Refactoring existing infrastructure code
• Adding Lambda functions to a CDK application

Design a business change log that records who changed what, when, and why. Get a focused recommendation first, then request empty templates in CSV, SQL table definitions, JSON Schema, or a Notion property mapping.

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• Designing a record of expense approvals
• Moving spreadsheet change logs into a structured register
• Preparing log fields for an audit review

Review AI skills and bundles without running their code. Checks for data leaks, suspicious permissions, hidden code, and system changes across desktop and mobile platforms, then reports flagged actions, risk scores, and suggested mitigations.

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• Review an AI skill before installing it
• Check a skill bundle for data leaks and suspicious actions
• Inspect Android and iOS threats in skill files

Use Python to analyze astronomical data, convert celestial coordinates, units, and times, and read or write FITS astronomy files. It also guides catalog matching and calculations of cosmic distances and ages using cosmological models.

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• Converting celestial coordinates for an observing location
• Reading FITS images and inspecting their headers
• Matching objects across astronomical catalogs

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.

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• Simplifying deeply nested screen layouts
• Sharing styles across multiple screens
• Extracting reusable interface components

Design AI agents that break down goals, plan actions, use tools, and correct their own mistakes. The guidance focuses on reliable execution, clear operating boundaries, and managing conversation context as tasks grow longer.

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• Designing an agent's planning and execution loop
• Breaking a complex goal into manageable tasks
• Reviewing self-correction and reliability patterns

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.

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• Designing APIs backed by Lambda
• Building asynchronous job processing
• Coordinating services with Step Functions

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.

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• Create buckets with encryption and public access blocked
• Set rules for archiving or deleting older files
• Replicate data to another region

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.

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• Centralize login and permission-change records
• Add structured audit logs to applications
• Review retention and tamper-detection requirements

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.

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• Visualize complex attack scenarios
• Identify gaps in existing defenses
• Explain security risks to authorized stakeholders

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.

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• Set up AWS documentation search for an AI agent
• Configure an MCP connection for AWS API access
• Check existing AWS MCP settings

Plan a simple daily attendance register covering check-in, check-out, hours, absences, and correction requests. When requested, generate empty templates in CSV, SQL, JSON Schema, or Notion mappings to prepare records for payroll input.

中文简介正在准备中。当前显示英语简介。

• Designing a daily check-in and check-out register
• Clarifying late arrival and half-day recording rules
• Creating empty attendance templates for payroll input

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.

中文简介正在准备中。当前显示英语简介。

• Defining fields for an IT asset inventory
• Planning resource discovery across AWS, Azure, and GCP
• Checking ownership and cost allocation tags

Design and configure an AWS VPC, a private cloud network, with separate public, application, and database subnets. Covers traffic routing, access rules, private service connections, and troubleshooting connectivity between resources.

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• Build separate networks for production and development
• Separate public, application, and database resources
• Connect VPCs or access AWS services privately

Generate images and videos through Atlas Cloud by checking each model’s input requirements before submission. Guides the agent through sending a request, checking progress within a time limit, and downloading and validating the resulting media.

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• Generate an image from a text prompt with Atlas Cloud
• Generate a short video from a scene description
• Check model-specific inputs before submitting a request

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.

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• Move hardcoded credentials into AWS Secrets Manager
• Configure automatic database credential rotation
• Provide stored secrets to ECS and EKS workloads

Turn audio or video recordings into Markdown documents with transcripts and summaries. Use it for meeting notes, speaker identification, subtitle files, or batch transcription when several recordings need to become readable documentation.

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• Create meeting notes from recordings
• Summarize long lectures or talks
• Identify speakers in recorded conversations

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.

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• Comparing design and architecture options
• Researching algorithms or API usage
• Requesting ChatGPT feedback on a redacted proposal

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.

中文简介正在准备中。当前显示英语简介。

• Reviewing Auri product requirements
• Organizing service tiers and the development roadmap
• Considering market launch plans and competitors