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Delegate complex work through a tree of Claude Code sub-agents. Each level uses its own working context and returns concise summaries, helping the coordinating agent manage research, verification, and synthesis without retaining every intermediate detail.

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• Divide research, expansion, verification, and synthesis into layers
• Handle work with more intermediate detail than one agent can retain
• Assign specialized checks to different leaf agents

Plan and implement a unified AgentDB memory backend for agents. Migrate SQLite and Markdown data, add HNSW indexing for similarity search, and support shared memory and SONA learning patterns while preserving compatibility with existing systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consolidating separate agent memory systems
• Migrating SQLite and Markdown data to AgentDB
• Finding stored information with similar meaning

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build agent memory that reuses past experiences
• Record and assess sequences of agent actions
• Consolidate similar experiences into reusable patterns

Run Docsbot AI operations through Rube MCP, a connection for agent tools. The skill provides a workflow for discovering supported actions, verifying an active connection, and executing operations with current tool inputs, including bulk processing guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discover tools available for a Docsbot AI task
• Check authentication before running a task
• Process multiple operations through the available tools

Automate College Football Data operations through Rube MCP and Composio. Find tools for a requested task, check their input requirements and connection status, then execute operations individually or in batches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find tools for a College Football Data task
• Verify the connection before running an operation
• Process multiple operations in a batch

Run Customgpt operations through Rube MCP, which connects your agent to external tools. The skill searches for available actions, checks connection status, and follows current input requirements when executing supported tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore available Customgpt operations
• Check the Customgpt connection before execution
• Retrieve further pages of operation results

Automate AI ML API tasks through Rube MCP, a connection for accessing external tools. The skill guides tool discovery, connection checks, and execution using current input requirements, with guidance for bulk operations and paginated results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available AI ML API tools
• Checking the service connection before execution
• Running tools with their current input requirements

Automate Apipie AI tasks through Rube MCP, a connection for agent tools. The skill discovers available operations, checks the service connection, and uses current input requirements to carry out supported workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find tools for an Apipie AI task
• Check the Apipie AI connection before execution
• Run supported Apipie AI operations in bulk

Automate Alpha Vantage operations through Rube MCP and Composio. Discover tools for a specific task, inspect their required inputs, verify an active connection, and execute the workflow using the current tool definitions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding tools for an Alpha Vantage task
• Checking required inputs before execution
• Running a workflow with an active connection

Run Apify Actors, programs that collect web data, through the Composio integration. Retrieve structured results, create reusable tasks with preset inputs, and inspect execution logs for both quick collection jobs and longer runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect restaurant data with a Google Places scraper
• Retrieve selected dataset fields in JSON format
• Create reusable tasks for recurring data collection

Set up a realtime evaluation folder with a suitable shared harness, the framework that runs evaluations. Prepare prompts, tool definitions, realistic starter data, and a README, then validate the setup with evaluation and test runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a single-turn text-to-speech evaluation
• Set up evaluations using saved audio
• Build multi-turn simulations with mock tools

Build custom interactive charts, network diagrams, and maps with d3.js. Guides data-driven drawing, tooltips, zooming, animation, responsive sizing, and accessibility, with examples that work in plain JavaScript or frameworks such as React, Vue, and Svelte.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building charts with custom layouts and styling
• Creating network diagrams and geographic visualizations
• Adding tooltips, zooming, and animated transitions

Build voice assistants and conversational characters with ElevenLabs. Configure voices, language models, and external tools, then connect conversations to a website widget or use Twilio integration for outbound phone calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a voice bot for customer support
• Embedding a voice assistant on a website
• Building an interactive voice character

Creates self-contained HTML charts, tables, diagrams, and dashboards for display within a conversation. It keeps figures traceable to calculations and checks readability in light and dark themes, including narrow mobile layouts, before showing the page.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining numerical findings with charts
• Presenting comparisons as tables or diagrams
• Showing a dashboard within a conversation

Analyze CSV, Parquet, and JSON files to answer questions through grouping, joins, cleaning, time series, and charts. Chooses DuckDB or Polars and a suitable processing location based on the task and available memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing and joining data files
• Exploring trends and distributions
• Cleaning data before analysis

Create and update dashboards with charts, metrics, and tables drawn from connected data sources or attached files. Link displayed values to their sources so readers can inspect queries, calculations, and freshness while reviewing business indicators or recurring reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track KPIs and progress toward targets
• Visualize CSV, TSV, or JSON data
• Build recurring reports from connected data

Design multi-agent workflows for research, reviews, and migrations. Organize work across different evidence sources, add independent checks, and combine findings while preserving source references, unresolved questions, and limits on what was examined.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan research across multiple evidence sources
• Review implementation and tests from different angles
• Compare candidate solutions with independent judges

Provide Jarvis with a static catalog of system voices through the included voice_source.json file. This skill supplies reference data only; it does not provide a workflow for choosing voices, handling voice requests, or creating widgets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Supply Jarvis with its system voice catalog
• Check the catalog file included with the skill
• Determine whether the skill includes a voice-selection workflow

Create charts and dashboards with a consistent approach to chart selection, color validation, labels, and interaction. Includes a palette checker and accessibility rules for readable visualizations in both light and dark modes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a chart type that fits the data
• Validate chart colors for color vision differences
• Build charts for light and dark modes

Store conversation history and project material locally, then search by meaning and retrieve original text. Organize memories by person or project, track dated relationships and facts, and keep diary entries that connect work across sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Import conversation history or project files
• Search past discussions by meaning
• Organize records by person, project, and topic

Initialize a new MemPalace for AI memory through a guided setup process. The skill retrieves setup instructions for a configuration that uses ChromaDB as its data storage backend and follows the returned steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new MemPalace
• Setting up AI memory with ChromaDB
• Following guided initialization steps

Train and run Uni-Mol Tools models to predict molecular properties from CSV data. Organize experiments into projects, compare model performance, rank results, and manage storage through interactive commands or machine-readable JSON output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train molecular property models from CSV data
• Predict properties with a trained model
• Organize experiments and compare model performance

Send prompts to Novita AI models such as DeepSeek and GLM from the command line. Retrieve answers as readable text or structured JSON, stream responses as they arrive, and check available models and API connectivity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Send questions to DeepSeek or GLM
• Display responses as they arrive
• Retrieve AI responses as JSON

Manage ChromaDB collections and documents from the command line, and search by meaning rather than exact wording. JSON output supports automated agent workflows, while server checks and an interactive mode help with everyday database operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manage document collections in ChromaDB
• Search stored documents by meaning
• Feed JSON results into agent workflows