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Found 5,029 Skills
Generate and edit high-quality images using Google's Nano Banana Pro (Gemini 3 Pro Image) AI model. Use this skill when working with AI image generation or editing tasks including (1) Creating images from text prompts with professional quality, (2) Editing existing images with natural language instructions, (3) Multi-turn iterative image refinement, (4) Product photography and marketing visuals, (5) Creating infographics and diagrams with text, (6) Photorealistic and artistic image generation, (7) Batch image generation workflows, (8) Testing and troubleshooting Gemini image generation API. Supports up to 4K resolution, multiple aspect ratios, reference images, and advanced prompting techniques for cinema-quality results.
World-class UI design expertise combining the precision of Jony Ive's Apple work, the systems thinking of Figma's design philosophy, and the accessibility obsession of Inclusive Design principles. UI design is the craft of making interfaces that users don't notice - because they just work. Great UI isn't about making things pretty. It's about making the right thing obvious and the wrong thing impossible. Every pixel, every animation, every spacing decision either helps the user or hurts them. The best UI designers are invisible - users accomplish their goals without ever thinking about the interface. Use when "ui design, visual design, interface design, component, design system, figma, sketch, color, typography, spacing, layout, animation, motion, responsive, mobile design, button, form design, card, modal, navigation, icon, ui, design, visual, interface, components, design-system, figma, accessibility" mentioned.
Write changelog entries for open source documentation sites using Keep a Changelog format. Use when asked to "write a changelog", "update the changelog", "add changelog entry", "document recent changes", or after a release/set of changes that should be recorded. Reviews git commits since the last changelog entry and produces a categorized, human-readable entry.
Applies Anthropic's official brand identity including colors (Dark #141413, Light #faf9f5, Orange #d97757), typography (Poppins, Lora), and design standards to artifacts, presentations, documents, and web interfaces. Use when asked to "apply Anthropic branding", "use brand colors", "style with company guidelines", "add Anthropic look-and-feel", or "follow design standards". Provides official color palettes, font specifications, logo usage, and visual formatting rules. Works with HTML artifacts, presentations, PDFs, documents, and any visual deliverables requiring consistent brand identity.
Comprehensive Kubernetes and OpenShift cluster management skill covering operations, troubleshooting, manifest generation, security, and GitOps. Use this skill when: (1) Cluster operations: upgrades, backups, node management, scaling, monitoring setup (2) Troubleshooting: pod failures, networking issues, storage problems, performance analysis (3) Creating manifests: Deployments, StatefulSets, Services, Ingress, NetworkPolicies, RBAC (4) Security: audits, Pod Security Standards, RBAC, secrets management, vulnerability scanning (5) GitOps: ArgoCD, Flux, Kustomize, Helm, CI/CD pipelines, progressive delivery (6) OpenShift-specific: SCCs, Routes, Operators, Builds, ImageStreams (7) Multi-cloud: AKS, EKS, GKE, ARO, ROSA operations
Use this skill when spreadsheet files are the primary input or output. This means the user wants to: open, read, edit, or repair existing .xlsx, .xlsm, .csv, or .tsv files (e.g., add columns, calculate formulas, format, create charts, clean messy data); create new spreadsheets from scratch or from other data sources; or convert between spreadsheet file formats. Trigger this especially when the user references a spreadsheet file by name or path—even casually (such as "the xlsx in my downloads")—and wants to process it or generate content from it. It's also used to clean or reorganize messy tabular data files (rows with incorrect formatting, misaligned headers, garbage data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do not trigger this when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
This skill should be used when the user asks to "explain security concept", "what is OWASP", "explain this finding", "what does this vulnerability mean", "explain stride", "explain injection", "what is CSRF", "explain spoofing", "what does INJ-003 mean", "compare stride vs pasta", or asks any question about security terminology, frameworks, vulnerability categories, or specific findings. Works at framework, category, finding, and comparison levels.
Self-Evolving Agent: Given a goal, it autonomously learns and iteratively improves until completion. Integrates superpowers workflow discipline.
Builds scalable design systems with tokens, theming, and component architecture. Use when creating design token hierarchies, theming systems, component variant patterns, or accessibility foundations. Use for design tokens, CVA variants, dark mode, multi-brand theming, Radix headless UI, Storybook documentation, and governance.
Apply cognitive bias detection whenever the user (or Claude itself) is making an evaluation, recommendation, or decision that could be silently distorted by systematic thinking errors. Triggers on phrases like "I'm pretty sure", "obviously", "everyone agrees", "we already invested so much", "this has always worked", "just one more try", "I knew it", "the data confirms what we thought", "we can't go back now", or when analysis feels suspiciously aligned with what someone wanted to hear. Also trigger proactively when evaluating high-stakes decisions, plans with significant sunk costs, or conclusions that conveniently support the evaluator's existing position. The goal is not to paralyze — it's to flag where reasoning may be compromised so it can be corrected.
You are updating this project's CLAUDE.md to reflect **meta learnings** (conventions, philosophy, gotchas) and **significant recent changes** to the codebase.
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability