Performance analysis, profiling techniques, bottleneck identification, and optimization strategies for code and systems. Use when the user needs to improve performance, reduce resource usage, or identify and fix performance bottlenecks.

Automated security scanning for dependencies, code, containers with Trivy, Snyk, npm audit. Use for CI/CD security gates, pre-deployment audits, compliance requirements, or encountering CVE detection, outdated packages, license compliance, SBOM generation errors.

Use when building a thread-safe data persistence layer in Swift using actors with in-memory cache and file storage.

Maintain the Station Terraform module itself (not test authoring). Use this skill whenever the user asks to add, change, refactor, or troubleshoot Station module behavior in root *.tf files or child module folders (application/, group/, user_assigned_identity/, hashicorp/tfe/), update variables/outputs/validations, or adjust provider/resource wiring for module consumers.

Provision a Hetzner CCX33 server, deploy the project, run JMH benchmarks, collect results, and destroy the server. Use ONLY when the user explicitly asks to run JMH benchmarks on a Hetzner server. Do NOT trigger for general benchmark requests or local benchmark runs.

Coding factory — transforms a spec into a reviewed PR via BUILD → INSPECT pipeline with adversarial review. Use when you need to implement a spec end-to-end with independent code review, or when the user invokes /factory run <spec-path>.

ML pipeline orchestrator — single entry point for ML-related tasks. Coordinates ML Engineer (analysis, modeling, recommendations), SRE Engineer (production data extraction), and Product Manager (task formulation). Domain context from CLAUDE.md. MVP flow: define data requirements → extract from prod → analyze → model → recommend → feature plan.

juicebox-performance-tuning

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MiniMax MCP server integration with token-efficient AI delegation. Use for web search, image analysis, MCP server integration in terminal/desktop Claude, and Claude-MiniMax collaboration patterns. Provides working scripts and slash commands.

Validates directory naming conventions for titles, assemblies, and modules. Use when restructuring content or adding new directories.

Generate comprehensive R tutorials for specialized applications (health economics, qualitative research, signal processing, environmental epidemiology) with theory + practice workflow. Use when: (1) User requests domain-specific tutorials, (2) File names match [number]-[topic].rmd pattern, (3) Keywords: TreeAge, CEA, text mining, wavelet, VMD, DLNM, WQS, BKMR.

Performing a web app pentest for sof comanpym and task y iwth testing the lastest of their social network web app.

oh-dear

Use when creating branded presentations or carousels. Generates museum-quality visual output from canvas philosophy, enforcing style constraints. Outputs PDF first, then converts to PPTX for editability.

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Use when you need adversarial review of any artifact — design docs, implementation plans, code, PRs, or documentation. Iterates until clean or stagnation.

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Systematic debugging loop — reproduce, analyze root cause, fix, then challenge with a fresh verification pass to distinguish fundamental fixes from workarounds. Use when debugging issues or when unexpected behavior needs a methodical approach.

mercadopago

Use when you have a spec or requirements and need to create a step-by-step implementation plan before coding

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replit-advanced-troubleshooting

Development workflow orchestration for task-driven development with atomic commits, conventional commit messages, and systematic release processes. Enforces task traceability, branch discipline, smart test scope selection, and GitHub Actions integration. Use when committing code, creating releases, managing branches, or following contribution protocols. Triggers on commit operations, release preparation, or workflow compliance needs.

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Manage changes to the R2 transfer pipeline (Python service, Cloudflare Workers, PHP logger) with mandatory validations, allowlists, and regression checks.

Qwen CLI integration for Alibaba's Qwen AI models. Use for code generation, review, and autonomous coding tasks with Qwen Coder.

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design-shotgun

AI辅助需求分析与设计规范生成，强调多代理编排、结构化产物和质量门禁。

Syncs README.md, sml/README.md, and top-level package doc.go comments against the current exported API. Only corrects verifiable drift (wrong signatures, renamed options, missing/removed symbols, stale behavior). Does not rewrite prose for style.

Audit the codebase for performance issues such as memory layout, allocation patterns, hot loops, and sparse operator inefficiencies.

Use when defining or changing behavior and the work has not yet been designed, approved, and scoped

When designing backend system architecture, choosing between API styles, or making database scaling decisions. When reviewing backend code for production readiness, performance bottlenecks, or architectural anti-patterns. Also when planning authentication architecture or error handling strategy across service boundaries. For code quality patterns use clean-code instead. For database-specific queries use database instead. For security reviews use security-best-practices instead. For containerization use docker-expert instead. For NestJS-specific work use nestjs-expert instead. For debugging errors use error-resolver instead.

INVOKE THIS SKILL when creating, managing, or using annotation configs on Arize (categorical, continuous, freeform), or applying human annotations to project spans via the Python SDK. Configs are the label schema for human feedback on spans and other surfaces in the Arize UI. Triggers: annotation config, label schema, human feedback schema, bulk annotate spans, update_annotations.

INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval, score my spans or experiment, ax tasks, trigger-run, trigger eval, column mapping, continuous monitoring, query filter for evals, evaluator version, or improve an evaluator prompt.

INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI.

INVOKE THIS SKILL when downloading or exporting Arize traces and spans. Covers exporting traces by ID, sessions by ID, and debugging LLM application issues using the ax CLI.

'Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.'

'Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.'

'Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.'

'Plan a multi-file refactor with proper sequencing and rollback steps'

Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.

'Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests'

'Ensure .NET/C# code meets best practices for the solution/project.'

'Generate a complete MCP server project in C# with tools, prompts, and proper configuration'

'PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.'

'Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.'

'Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.'

'Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices'