Content & Media
Content creation, media processing, and design skills
18175 skills in this category
banana
Generate images using Google's Gemini image generation model with Deno. Use this skill when the user wants to create AI-generated images, perform image-to-image transformations, or generate visual content from text prompts. Triggers include requests like "generate an image of...", "create a picture of...", "make an image with...", or "transform this image to...".
model-first-reasoning
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
research-merge
Processes research branches from Claude Code Web sessions - merges content, moves docs to docs/research/, and creates GitHub issues. Use when /popkit:next detects research branches or when manually processing research from mobile sessions. Do NOT use for regular feature branches - only for branches matching claude/research-* or containing research documentation.
justfile-style
Style guidelines for justfile recipe documentation. Use when writing or editing justfiles to ensure consistent and concise documentation.
blocklet-updater
Creates a new release for a blocklet project by bumping version, building, and bundling. Use when asked to "create a new release", "bump and bundle", or "update blocklet version".
vercel-ai-sdk
Guide for Vercel AI SDK v5 implementation patterns including generateText, streamText, useChat hook, tool calling, embeddings, and MCP integration. Use when implementing AI chat interfaces, streaming responses, tool/function calling, text embeddings, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, or tool calling tasks.
writing-claude-rules-skills-subagents
Guidelines for creating custom rules, custom skills, and custom subagents for Claude.
nafv4-interface-ea-mcp
Create and manage NAF v4 (NATO Architecture Framework) / ADMBw Requirements Viewpoints (R2-R6) in Sparx Enterprise Architect. Use when the user wants to create R2 (Requirement Catalogue), R3 (Requirement Dependencies), R4 (Requirement Conformance), R5 (Requirement Derivation), or R6 (Requirement Realization) diagrams, add requirements elements, create associations between requirements, or work with NAF requirements modeling. Also triggers on natural language like "functional requirement", "requirement category", "derived from", "conforms to standard", etc.
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
comprehensive-context-handover
Forensic, high-fidelity context handover for seamless continuation in a new chat. Produces a single Markdown transfer artifact plus reusable templates, preserving decisions, requirements, non-negotiables, and open loops without truncation by judgment. Not for code continuation unless explicitly stated.
open-props
Use Open Props CSS custom properties for consistent design tokens. Use when setting up design systems, choosing spacing/color values, or wanting battle-tested CSS variables without heavy dependencies.
Oracle ADK Expert
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
catz-challenge-evaluator
Evaluates Catz Android coding challenge submissions against SWORD Health requirements. Use when reviewing or assessing this coding challenge. Produces a structured markdown report with seniority level assessment (Junior/Mid/Senior/Staff) and confidence rating, covering requirements compliance, architecture, code quality, testing, and documentation.
delta-live-tables
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
yagni-principle
Apply YAGNI (You Aren't Gonna Need It) principle when evaluating feature requests, reviewing speculative code, or preventing over-engineering. Use when assessing whether to build functionality now vs later.
breaking-change-detection
OpenAPI diff tools, schema comparison, and migration guide templates for detecting breaking changes in APIs, databases, and contracts. Use when analyzing API changes, comparing OpenAPI specs, detecting breaking changes, validating backward compatibility, creating migration guides, analyzing database schema changes, or when user mentions breaking changes, API diff, schema comparison, migration guide, backward compatibility, contract validation, or API versioning.
database-schema-designer
Expert database design specialist that creates optimized schemas, writes efficient queries, handles migrations, and provides guidance on normalization, indexing, and performance optimization across SQL and NoSQL databases
phase-4-validator
Validates Testing Phase completion before advancing to Finalization Phase. Checks test execution results, coverage targets, test quality, and environment health. Ensures 100% test pass rate required by quality gates.
learning-mode
Activates when user is learning, studying, or exploring concepts rather than executing work tasks.TRIGGER when user says: "learn", "understand", "explain", "how does X work", "teach me","walk me through", "I want to figure out", "study", "what's the concept behind", or isworking through books, papers, tutorials, or explicitly mentions being in a learning project.Also triggers for: working on emulator project, syscall implementations, or anything inthe learning repos.DO NOT trigger for: "fix this", "implement this quickly", "just do it", work tickets,debugging production issues, "I need this done", time-pressured requests, or when userprovides a complete spec and just wants execution.
google-docs-manager
Expert in Google Docs management. Use when creating, reading, updating, formatting, or managing Google Docs with markdown support, advanced formatting, tables with full manipulation, images with styling, lists, headers/footers, and table of contents.