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Found 488 Skills
Generate Excalidraw diagrams from natural language descriptions. Outputs .excalidraw JSON files openable in Excalidraw. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", "generate an Excalidraw file", "draw an ER diagram", "create a sequence diagram", or "make a class diagram". Supports flowcharts, relationship diagrams, mind maps, architecture, DFD, swimlane, class, sequence, and ER diagrams. Can use icon libraries (AWS, GCP, etc.) when set up. Do NOT use for code architecture analysis (use the architecture skills), Mermaid diagram rendering (use mermaid-studio), or non-visual documentation (use docs-writer).
Guide for using Miso Apps SDKs (@misoapps/mail-sdk and @misoapps/shop-sdk) in Shopify apps. Use this skill when the user needs to send emails via SMTP or AWS SES, manage SMTP configurations, retrieve email logs, manage shop installations, or access shop/app data through Miso Apps services.
Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.
Expert in extracting text from images using Tesseract, EasyOCR, PaddleOCR, Google Vision, AWS Textract, Claude Vision. Trigger: When extracting text from images, screenshots, scanned documents, or PDFs.
Devil's Advocate stress-testing for code, architecture, PRs, and decisions. Surfaces hidden flaws through structured adversarial analysis with metacognitive depth. Use for high-stakes review, stress-testing choices, or when the user wants problems found deliberately. NOT for routine code review (use engineering:code-review). Triggers on "스트레스 테스트", "stress test", "devil's advocate", "반론", "이거 괜찮아", "문제 없을까", "깊은 리뷰", "critical review", "adversarial".
Use when testing a web application for security vulnerabilities, before deployment or during security review — guides through a structured 10-phase penetration testing methodology covering mapping, authentication, session management, access controls, injection, logic flaws, and server configuration.
Use when creating professional architecture diagrams, cloud infrastructure visuals, network topologies, Kubernetes cluster diagrams, or microservices architecture diagrams as PNG/SVG images using Python Diagrams library with real provider icons (AWS, Azure, GCP, K8s, OnPrem, Generic)
23 production-ready engineering skills covering architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, computer vision, and specialized tools like Playwright Pro, Stripe integration, AWS, and MS365. 30+ Python automation tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Review code after implementation work to identify design flaws, abstraction issues, or maintenance risks that only became clear once real code was written. Use whenever the user asks whether a recent change exposed architectural problems, whether an abstraction is fighting the implementation, or whether a refactor is justified. Be conservative and avoid suggesting refactors without concrete evidence of recurring cost or complexity.
Evaluates interfaces, components, screens, and flows against universal UX/UI principles (heuristics, UX laws, Gestalt, cognitive psychology, accessibility) and delivers concrete, prioritized improvements. Use whenever the user shares UI code, screenshots, components, or mockups and wants feedback — even if they don't use the words "critique" or "review". Also trigger when the user asks "what's wrong with this UI", "how can I improve this", "review my component", "does this look right", "give me feedback on this design", or shares any interface and asks for thoughts. Trigger for partial slices too (a single button, form, or card) — not only full screens.
Use this skill when writing or configuring mobile app tests with Detox or Appium, setting up device farms (AWS Device Farm, Firebase Test Lab, BrowserStack), integrating crash reporting (Crashlytics, Sentry, Bugsnag), or distributing beta builds (TestFlight, Firebase App Distribution, App Center). Triggers on mobile e2e testing, native app automation, device matrix testing, crash symbolication, and OTA beta distribution workflows.
Conducts comprehensive backend design reviews covering API design quality, database architecture validation, microservices patterns assessment, integration strategies evaluation, security design review, and scalability analysis. Evaluates API specifications (REST, GraphQL, gRPC), database schemas, service boundaries, authentication/authorization flows, caching strategies, message queues, and deployment architectures. Identifies design flaws, security vulnerabilities, performance bottlenecks, and scalability issues. Produces detailed design review reports with severity-rated findings, architecture diagrams, and implementation recommendations. Use when reviewing backend system designs, validating API specifications, assessing database schemas, evaluating microservices architectures, reviewing integration patterns, or when users mention backend design review, API design validation, database design review, microservices assessment, or backend architecture evaluation.