데이터·AI 스킬

Manage cached LLM responses, which are saved answers available for reuse. Inspect statistics and stored entries, clear cached data, and configure expiration policies and similarity thresholds that govern when answers can be reused.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting response cache statistics
• Clearing saved responses
• Adjusting cache expiration policies

Connect AI agents to OmniRoute for text and image generation, speech synthesis, transcription, and web search. Use OpenAI-compatible APIs and create embeddings, numerical representations of text, through documented requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add text generation to an AI agent
• Generate or edit images from instructions
• Turn text into speech or transcribe audio

Query OmniRoute through A2A, a protocol for communication between agents. Get provider and model recommendations, check remaining quotas, find providers with required features, estimate request costs, and review system health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a provider and model for a prompt
• Check remaining provider or account quotas
• Find providers with required features

Group AI providers and models behind one model ID in OmniRoute. Choose among 19 routing strategies, define fallback sequences for failures, simulate which provider will be selected, and inspect latency, success rates, and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Call multiple AI models through one model ID
• Configure fallback order for failures
• Simulate routing decisions before making API calls

Create, list, switch, and delete model routing combinations from the command line. Request suggestions using task descriptions, cost limits, and response time limits, with an option to explain recommendations or activate a suggested setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a routing combination with specified models
• Listing routing combinations and switching the active one
• Finding candidates within cost and response time limits

Submit groups of AI requests as batch jobs with the OmniRoute command line. Manage input files, monitor or cancel jobs, save results and errors, and incorporate batch processing into automated build and deployment workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Submitting AI requests from a JSONL file
• Monitoring batch jobs and waiting for completion
• Saving batch results and error details

Manage AI service connections in OmniRoute through its API. Add, update, remove, and test connections, maintain API keys and sign-in credentials, and inspect usage metrics and connection health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding or updating AI service connections
• Renewing expired sign-in credentials
• Testing multiple connections together

Configure compression for command output, prose, and chat history before sending them to AI providers. Choose suitable engines, adjust language rules, and preview compressed text and reported savings before enabling a mode.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reduce tokens in build and test output
• Configure compression for long chat histories
• Preview compression results before enabling a mode

Manage how context, the text supplied to an AI, is compressed with RTK filters. Preview compression on real prompts, validate and install filter files, and inspect filter loading diagnostics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preview compression on real prompts
• Validate and install RTK filter files
• Inspect filter loading diagnostics

Browse and search OmniRoute's AI model catalog from the command line. Filter by provider or capability, check model aliases, validate compatible models before adding them, and maintain manually registered model details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding AI models by provider or capability
• Checking model aliases and name variants
• Validating a model before adding it

Find available AI models across configured providers and browse a catalog that includes provider-specific variants. Inspect individual models and create or update aliases, alternative names used to refer to models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• List models available across configured providers
• Browse provider-specific model variants
• Create or update a model alias

Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adjust context token budgets and filtering rules
• Switch between saved server connections
• Import or export connection settings as JSON

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 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

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

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

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

Analyze large matrices before solving linear systems. Check structure and numerical stability, recommend preprocessing and solver settings, estimate selected solution values without a full solve, and assess convergence, memory use, and computational cost.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking matrix properties before solving a system
• Choosing preprocessing for numerical stability
• Estimating selected values without solving the full system

Coordinate multiple AI agents in a mesh, a network where peers communicate directly. It guides shared decisions, task assignment based on skills and workload, network monitoring, and recovery when agents fail or connections break.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Coordinating agents through direct peer communication
• Redistributing work from overloaded agents
• Planning recovery from agent failures

Coordinate multiple AI agents by adjusting their communication structure and task assignments as workloads change. The skill describes performance monitoring, switching coordination patterns, forecasting agent capacity, and validating changes with rollback when performance worsens.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a coordination structure for multiple agents
• Redistributing tasks when agent workloads become uneven
• Forecasting how many agents a workload needs

Develop machine learning models from local data, covering data preparation, model selection, training, evaluation, and deployment preparation. Use it to build workflows for tasks such as predicting customer churn or classifying images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a model to predict customer churn
• Training a neural network for image classification
• Preparing missing values and categorical data for training

Preserve project decisions and work progress across sessions, and share information between agents. Organize stored knowledge into separate spaces, retrieve relevant records, and manage expiration, compression, and cleanup of saved data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume work from a previous session
• Look up earlier architecture decisions
• Share task progress between agents