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Found 3,219 Skills
Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations
Full-codebase audit using 1M context window. Security, architecture, and dependency analysis in a single pass. Use when you need whole-project analysis.
Scans source code, configuration files, and git history for hardcoded credentials, API keys, and tokens. Use when auditing repositories for security leaks or ensuring sensitive data is not committed to version control.
Creation, editing, and review of RouterOS scripts (.rsc) with focus on idempotency, security, and best practices. Use when you need to generate, adjust, or import .rsc files for MikroTik: (1) create new configurations via script, (2) edit existing scripts with safe corrections, (3) review risks and execution policies, (4) validate with import dry-run and error handling.
Use when preparing a Bknd application for production deployment. Covers security hardening, environment configuration, isProduction flag, JWT settings, Guard enablement, CORS, media storage, and production checklist.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Software engineering best practices for code review. Use when reviewing code, analyzing code quality, checking for bugs, security vulnerabilities, or providing feedback on code changes.
Comprehensive toolkit for validating, linting, and optimizing bash and shell scripts. Use this skill when working with shell scripts (.sh, .bash), validating script syntax, checking for best practices, identifying security issues, or debugging shell script problems.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
Manage Alibaba Cloud Edge Security Acceleration (ESA) via OpenAPI/SDK. Use for site lifecycle management, DNS/record operations, origin and cache rules, WAF/security policy management, and diagnostics/troubleshooting for ESA resources.
Industry-standard Terraform patterns, modular structure, and security validation. Use when reviewing, refactoring, or authoring Terraform code (.tf files) to ensure maintainability and security.
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Synapse Analytics applications. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).