查找技能

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.

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

Build ASP.NET Minimal API endpoints with explicit request and response types, input validation, and standard error responses. Organize related endpoints and add OpenAPI documentation, a structured description of API operations, parameters, and schemas.

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• Building Minimal API endpoints with explicit types
• Adding operation and parameter descriptions to OpenAPI
• Organizing related endpoints with MapGroup()

Retrieve current Azure retail prices and estimate monthly or annual costs by service, region, and configuration. Compare payment options and calculate Copilot Studio credit usage and estimated costs from expected agent activity.

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• Estimate monthly and annual Azure costs
• Compare prices across regions and configurations
• Compare reservations, savings plans, and spot pricing

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.

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

Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.

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• Add beginner-friendly explanations to existing code
• Document the reasoning behind syntax and design choices
• Adjust comment depth for readers with different experience

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.

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

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.

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

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.

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

Add Arize AX tracing to an LLM application, recording how model calls and tool executions connect. Inspect the existing code, select suitable integrations, add instrumentation, and verify that the application runs and traces reach Arize.

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• Setting up tracing for an LLM application
• Recording tool inputs and outputs in an agent
• Adding Arize export to an existing OpenTelemetry setup

Review AWS infrastructure code and deployed resources against the six Well-Architected pillars. Produce risk-ranked findings, remediation examples, and an architecture diagram, then create GitHub issues for tracking improvements after user confirmation.

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• Review AWS infrastructure code and deployed resources
• Prioritize findings by risk
• Prepare infrastructure code remediation examples

Check Bicep infrastructure definitions before deploying to Azure. Validate syntax, preview resource changes, check deployment permissions, and produce a Markdown report of issues and recommendations using Azure CLI or Azure Developer CLI workflows.

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• Validating Bicep files before deployment
• Previewing resource creation, modification, and deletion
• Checking deployment permissions

Assess an AWS resource using CloudWatch logs and metrics, the measurements that describe its behavior. Investigate failures and performance issues, classify their severity, and produce a remediation report with staged actions, CLI commands, and monitoring recommendations.

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• Investigate Lambda errors and throttling
• Examine RDS performance and connection issues
• Check ECS task counts and service health

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.

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

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.

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

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.

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• 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.

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

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.

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

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.

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

Analyze a codebase to document its technologies, architecture, dependencies, and implementation patterns. Produce a Markdown reference with optional diagrams, code examples, and guidance for adding features consistently with the existing design.

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• Understand an unfamiliar codebase's architecture
• Document components, dependencies, and data flow
• Create guidance for adding features consistently

Edit patch release notes for GitHub Enterprise Server, correcting typos and style while preserving approved technical facts. Keep repeated notes consistent across versions and update known issue source comments so future releases inherit the same edits.

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• Proofread approved patch release notes
• Keep repeated notes consistent across versions
• Update source comments for known issues

Edit and validate Bazel build settings using conventions specific to CodeQL development. Follow established helpers for packaging and operating system differences, add dependencies with checksums, and check changed targets while respecting the standalone build setup.

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• Edit CodeQL Bazel build files
• Configure packaging for different operating systems
• Add external build dependencies

Maintain reference test data and expected results for model-routing audits, which analyze how AI models are selected. Investigate mismatches, update outputs after intentional behavior changes, and add captured workflow runs as new test cases.

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• Investigating failures in model-routing reference tests
• Updating expected results after intentional analysis changes
• Adding workflow runs as new reference test cases

Guide visual changes to an existing documentation site and landing page. Apply defined limits for text width, spacing, navigation, and color so layout updates preserve readable content and a consistent visual style.

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• Adjusting documentation page width and spacing
• Choosing where to place a new navigation link
• Updating landing page colors and typography

Turns collected repository statistics into an eight-panel PNG infographic. It shows pull request outcomes, timing, code changes, and human versus agent activity, with scripts to recalculate figures and check them against available source records.

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• Combining repository statistics into one image
• Updating an infographic with newer collected data
• Comparing human and agent contributions to pull requests