agent-development
This skill guides creating autonomous agents for Claude Code plugins using markdown files with YAML frontmatter. Use when building new agents, designing agent system prompts, or configuring agent behavior.
Essential command-line tools and system utilities.
This skill guides creating autonomous agents for Claude Code plugins using markdown files with YAML frontmatter. Use when building new agents, designing agent system prompts, or configuring agent behavior.
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools, resources, and prompts. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks safely, reliably, and with predictable outputs.. Use when Use this skill when the task matches its description and triggers..
This skill should be used when the user initiates autonomous development with /auto, /auto-lite, or similar commands to classify the type of work. Semantic work type classification with multi-layer detection. Analyzes user request using keywords, intent, output type, and confidence scoring. Automatically triggers ASK_USER if confidence is below threshold. Outputs skill activation plan to .claude/auto-context.yaml.
Randy's basic context - tools, projects, and setup. Use when Randy asks about his environment, projects, or technical setup.
Build n8n nodes using programmatic style with full control over execution, data handling, and API calls. Use this skill when implementing execute() methods, creating helper functions for API requests, handling pagination with cursor-based logic, implementing loadOptions for dynamic dropdowns, processing binary data, building webhook or polling triggers, or handling complex data transformations. Apply when building trigger nodes, GraphQL integrations, non-HTTP protocols, or any scenario requiring custom execution logic.
Code review. Use for 'code review', 'PR review', 'review this' requests
Automatically updates terminal window title to reflect the current high-level task. Use at the start of every Claude Code session when the user provides their first prompt, and whenever the user switches to a distinctly new high-level task. Helps developers manage multiple Claude Code terminals by providing clear, at-a-glance identification of what each terminal is working on.
Create a template file for human reviewers to write free-form feedback before AI code review.
This skill should be used when the user asks to "sync specs", "update specs from work", "record what we did", "add to speclan", "document implemented features", or wants to capture session work as SPECLAN specifications. Analyzes conversation context to identify implemented features and syncs with speclan directory.
Create and manage repo-local work artifacts for a user “task request” by generating `.artifacts/artifacts/{request_id}/` with `plan.md`, `todo.md`, and `walkthrough.md`, then indexing completed work into ChromaDB stored at `.artifacts/chroma_db/` for 7-day recall. Use when the user wants (1) a tracked/confirm-before-execute workflow, (2) a minimal final answer that links to a walkthrough, or (3) to ask “what did we do before with the artifacts skill?” and you should answer by querying the ChromaDB artifacts index.
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools, resources, and prompts. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks safely, reliably, and with predictable outputs.. Use when Use this skill when the task matches its description and triggers..
Generate SAT methodology-compliant training courseware for Prometheus PCGS 2.0. Use for: (1) Creating lesson plans with proper SAT structure, (2) Generating presentations from course content, (3) Building timetables with duration calculations, (4) Producing trainee handbooks, (5) Exporting course specification sheets, (6) Validating Bloom's Taxonomy alignment. Triggers: lesson plan, presentation, timetable, handbook, course specification, SAT, Bloom's Taxonomy, CLO, learning outcome, training material, courseware, assessment, performance criteria.
The ultimate unified development skill combining 25+ programming languages, 9+ BaaS providers, 6+ development functions, and 15+ security capabilities with AI orchestration, Context7 integration, enterprise compliance, and end-to-end project automation
Autonomous email agent that reads, summarizes, triages, and responds to emails via Gmail. Use when user wants help managing their inbox or processing emails.
Brief description of what this skill does and when to use it. Include trigger keywords that users would naturally mention.
Build AI agents with OpenAI Agents SDK + Model Context Protocol (MCP) for tool orchestration. Supports multi-provider backends (OpenAI, Gemini, Groq, OpenRouter) with MCPServerStdio. Use this skill for conversational AI features with external tool access via MCP protocol.
Generate inline chat cards using DaisyUI components for user interactions. Use when creating interactive UI elements within a chat interface that require user input, confirmation, or selection. Supports affirmative/negative responses, multiple choice (radio), multiple select (checkbox), and content preview with feedback patterns.
Send Slack messages and DMs as yourself directly from Claude Code using your browser session credentials. Extracts the target channel or user and message content directly from natural language prompts. Supports @username for DMs and
Creates a battle-tested ChatGPT-style chatbot widget that solves real-world production issues. Features infinite re-render protection, text selection "Ask AI", RAG backend integration, streaming SSE, and comprehensive performance monitoring.
Build embeddable chatbot widgets for web applications. Use when creating chat UIs, iframe embeds, or widget-based AI interfaces.
This skill provides comprehensive guidance for inter-agent communication using the Synapse A2A framework. Use this skill when sending messages to other agents, routing @agent patterns, understanding priority levels, handling A2A protocol operations, managing task history, configuring settings, or using File Safety features for multi-agent coordination. Automatically triggered when agent communication, A2A protocol tasks, history operations, or file safety operations are detected.
MANDATORY for ALL AI prompts - Automatically validate and improve AI system prompts,