Loading...
Loading...
Found 2,980 Skills
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.
QA cycling workflow - test, verify, fix, repeat until goal met
Automated release workflow for oh-my-claudecode
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or building data-driven stories. Essential for reporters, newsrooms and researchers working with quantitative information.
Coordinates security scanning (secrets + deps). Delegates to ln-761 + ln-625(mode=vulnerabilities_only). Generates SECURITY.md, pre-commit hooks, CI workflow.
Creates test documentation (testing-strategy.md + tests/README.md). Establishes testing philosophy and Story-Level Test Task Pattern. L2 Worker in ln-100-documents-pipeline workflow.
Apple Core Bluetooth framework for BLE and Bluetooth Classic. Use for central/peripheral workflows, scanning, connecting, advertising, GATT services/characteristics, read/write/notify, L2CAP, background processing or state restoration, and error handling across Apple platforms.
Netlify development best practices for serverless functions, edge functions, Blobs storage, build configuration, and deployment workflows.
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.
Guide users to define requirements through multi-round conversations, reference existing Dify cases, and generate workflow DSL YAML configurations that can be directly imported into Dify