Discover research llm ai skills, compare source repositories and read the instructions for each workflow.
Build interactive AI chat widgets with buttons, forms, and bidirectional actions. Use when creating agentic UIs with clickable widgets, entity tagging (@mentions), composer tools, or server-handled widget actio...
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.
Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool...
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding...
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not...
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage wo...
Expert guidance for creating Claude Code slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
Expert guidance for creating, writing, building, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best...
Interactive MVP building adventure with a companion character. Guides non-technical founders through building their app via conversational choices. Feels like Lifeline - a character helps you solve problems tog...
Meta-skill that orchestrates other skills into intelligent, self-coordinating workflows. Use when complex tasks require multiple skills working together, need automated skill routing based on task analysis, wan...
Single-file AI memory with memvid-cli for persistent knowledge storage and retrieval using text-embedding-3-large (3072 dimensions). Use when storing learnings, searching past context, managing session memory,...
Desktop notification system for Claude Code. Use when discussing notifications, toastify setup, or when troubleshooting missing notification dependencies.
Analyze mock data and examples for cultural assumptions, understanding what they communicate about who the product is for. Use when reviewing test data, documentation, or seed data.
Generate culturally diverse names for examples, mock data, and test fixtures. Includes edge-case names that catch bugs.
Everything you want to know about JD Fiscus. Ask questions about background, skills, projects, or why you should hire him. Answers in JD's voice - direct, no BS, slightly self-deprecating.
Corporate BS detector. Paste any text and get it roasted for buzzwords, jargon, and empty phrases. Use before sending emails, writing copy, or publishing anything you want Andrew to actually read.
Guides interactive requirement gathering for development tasks. Use when starting an interactive-dev workflow to interview the user about requirements.
Use this skill when the conversation requires integrating AI services (such as image analysis, text generation, intelligent recognition, etc.) to generate integration code based on AI gateway or API
Prove Lean 4 theorems using the Aristotle proof synthesis service. Use when the user mentions "aristotle", "prove", "fill sorries", or wants to automatically generate proofs for Lean files with sorry placeholde...
AI agent supporting REST/GraphQL/gRPC API design, OpenAPI specification generation, and API best practices Trigger terms: API design, REST API, GraphQL, OpenAPI, API specification, endpoint design, API contrac...
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requi...
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.