GitHub

Diagnose Arch Linux problems by reviewing recent updates, service logs, and packages. Get a step-by-step investigation plan, ready-to-copy repair commands, verification steps, and guidance for rollback or cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating problems after an Arch Linux update
• Diagnosing services that fail to start
• Planning repairs with verification and rollback steps

Manage the credentials Arize uses to call LLM providers such as OpenAI and Anthropic. Create, inspect, update, or delete connections, configure allowed models and authentication methods, and retrieve connection IDs for use in evaluations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect an LLM provider to Arize
• Review existing connections and allowed models
• Rotate stored provider API keys

Develop and troubleshoot distributed applications with Aspire. Coordinate services written in different languages through AppHost, configure connections and startup dependencies, inspect logs and metrics, and prepare deployment settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an Aspire application from a template
• Connecting services written in different languages
• Diagnosing services through logs and traces

Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a new Python project for AWS CDK
• Preparing a virtual environment and dependencies
• Generating templates and reviewing deployment changes

Create shareable links that open specific Arize resources, including traces, datasets, and evaluators. Use IDs from logs or exported data, with suitable time ranges, to direct teammates to the relevant view.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share a trace with teammates
• Open an Arize view from IDs in logs
• Link directly to a dataset or evaluator

Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify underused AWS resources
• Estimate monthly savings from configuration changes
• Prioritize cost reductions by risk and implementation effort

Manage Azure Container Registry, a service for storing container images, with Azure CLI. Build images in the cloud, copy them between registries, clean up stored artifacts, and configure authentication and network access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build container images in Azure without local Docker
• Copy images from another registry
• Clean up unused images and tags

Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing a repository’s readiness for AI agents
• Prioritizing improvements from assessment results
• Reviewing scores under an organization’s own policy

Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt using failed production traces
• Fix responses that use the wrong output format
• Review unsupported answers in retrieval-based responses

Set up telemetry, data about application operation, for web apps hosted in Azure. Choose automatic or manual instrumentation, create an Azure App Insights resource, and configure application code to send monitoring data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add telemetry to an ASP.NET Core app hosted in Azure
• Send operational data from a Node.js app to Azure App Insights
• Configure automatic instrumentation for Azure App Service

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Manage Azure DevOps projects, repositories, pull requests, pipelines, and work items through command-line tools. The skill guides authentication, resource operations, and automation scripts, with references for builds, permissions, packages, and common errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create and review pull requests
• Run pipelines and check builds
• Manage work items and sprints

Organize human review in Arize by defining label choices, numeric ranges, or free-text feedback fields. Manage review queues and reviewers, submit annotations for individual records, and apply existing labels to project spans, or individual processing records, in bulk.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define shared labels and scoring ranges for reviewers
• Create review queues and assign reviewers
• Record feedback on individual queue items

Coordinate a small AI development team with planning, implementation, and optional independent testing roles. Adapt the process to the work’s complexity, prepare pull requests, and preserve decisions and next steps so later sessions can continue.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting development or taking over an existing project
• Coordinating implementation and independent testing
• Comparing perspectives on product or architecture decisions

Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get oriented in an unfamiliar codebase
• Prepare documentation for a project handover
• Compare documented architecture with implementation

Check security audit findings against code evidence and trace how untrusted input moves through a system. Guide a second review, document verification gaps, and assess draft reports against a minimum quality score before delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verifying evidence behind security review findings
• Rechecking input flows after an initial analysis
• Assessing report quality before delivery

Turn a screen recording of repetitive work into automation scripts. The skill reconstructs the workflow, proposes options suited to installed tools, and helps build and test the chosen approach while preserving human review steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating repeated report downloads and spreadsheet filtering
• Turning file sorting and renaming into scripts
• Reducing repetitive transfers between applications

Create and fix Adobe Illustrator automation scripts using ExtendScript, Adobe’s JavaScript-based scripting language. Automate changes to artwork, text, layers, and artboards, process multiple files, and prepare exports such as PDF, SVG, and PNG.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automate repeated changes to artwork and text
• Export multiple Illustrator files
• Generate artwork variations from data

Add controls to AI agents that use APIs, databases, and files. Use Python patterns for tool permissions, approval requirements, call limits, suspicious input checks, audit logs, and trust scores that guide delegation between agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restrict which tools an agent can call
• Check suspicious inputs before execution
• Require human approval for sensitive operations

Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set shared readiness standards across an organization
• Focus assessments on AI tooling
• Adjust the importance of individual checks

Compare C# Web API source code with its TypeScript or JavaScript clients to find mismatched data fields, required inputs, and response handling. Receive an audit report showing client impact, severity, and confidence in each match.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check client impact before merging a DTO or controller change
• Audit API compatibility before a release
• Find stale request fields and missing response fields

Review an AI agent codebase against ten OWASP ASI security risk areas. Examine tool permissions, input validation, identity checks, audit logs, and other controls, then summarize coverage, gaps, and recommended improvements in a report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing agent security before production deployment
• Mapping existing controls to ten security risk areas
• Preparing findings for a security review or audit

Improve code through repeated experiments against a measurable target, such as execution time or memory use. After defining scope and constraints, the agent tests changes, keeps improvements, reverts unsuccessful attempts, and logs results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reduce execution time through measured code experiments
• Optimize memory use or bundle size
• Compare changes using benchmark results

Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate error spikes, slow responses, and memory exhaustion
• Compare alarm transitions with recent deployments
• Narrow an incident to affected services and resources