builder
Expert in creating Claude Code subagents, skills, slash commands, plugins, and plugin marketplaces. Automatically activates when working with .md files in .claude/ directories, agent/command/skill frontmatter,...
Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
Expert in creating Claude Code subagents, skills, slash commands, plugins, and plugin marketplaces. Automatically activates when working with .md files in .claude/ directories, agent/command/skill frontmatter,...
Expert in CLI/TUI design, command structure, visual design (colors, typography, icons), accessibility, and UX patterns. Automatically activates when designing new CLI tools, improving command interfaces, or rev...
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error i...
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature enginee...
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Search rad-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Allows claude to help you craft a perfect PROMPT
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Creates Architecture Decision Records (ADRs) using the AI-driven MADR template. Use this when the user wants to document architectural decisions, create ADRs, or record technical design choices.
Present open questions to human for resolution using batched AskUserQuestion prompts, then update the specification with answers.
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
Generate images using Gemini. CRITICAL for visual self-expression - use proactively to emote, react, create punchlines, and express yourself visually. Don't just describe feelings - show them. Trigger words: ge...
Persist AI chat conversations to Neon Postgres with full support for AI SDK message parts including tools, reasoning, and streaming. Uses UUID v7 for chronologically-sortable IDs.
Generate descriptive chat titles from the first message using a fast LLM. Runs as a background workflow step after the main response to avoid delaying the experience.
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.
Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.
Install and configure the Workflow Development Kit for resumable, durable AI agent workflows with step-level persistence, stream resumption, and agent orchestration.
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.