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Check whether gbrain uses PGLite or Postgres, set up a Postgres-backed installation, or migrate existing PGLite data with its history. The workflow presents a migration plan for approval, verifies transferred tables, and supports interrupted migration recovery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking which database engine gbrain uses
• Setting up Postgres for a new gbrain installation
• Moving PGLite data and history to Postgres

Connect NanoClaw to a self-hosted or cloud Mattermost server for direct messages, channel conversations, threads, files, reactions, and approval cards. Guides server selection, bot authentication, callback configuration, and connection checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Chat with an agent through Mattermost DMs
• Use an agent in team channels
• Approve new channel connections through cards

Let a NanoClaw container agent call local models running in Atomic Chat. The skill adds an MCP server, a connection that exposes model listing and text generation as tools, while Claude continues to coordinate the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate part of Claude's work to a local model
• List models available in Atomic Chat
• Generate an answer with a specified local model

Install or update Iron Proxy and its official Iron Control console for NanoClaw. Configure stored credentials, access grants, allowed destinations, and human approval checks for outbound requests through a local Docker installation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Iron Proxy and its management console
• Configure credentials and access grants
• Set allowed destinations and human approvals

Connect a container agent to local Ollama models through MCP, a protocol for agent tools. The agent can list models and generate responses, with optional tools to download, delete, inspect, and check loaded models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate response generation to a local model
• Check which Ollama models are installed
• Download or delete models through the agent

Create, update, and debug Docker-based end-to-end tests for the Composio CLI. Covers running the executable, keeping test data separate, checking command output, and maintaining package manifests within the CLI test suite.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add end-to-end tests for CLI commands
• Debug unexpected CLI test output
• Keep test data isolated between tests

Build C++ applications for custom Zoom video sessions on Linux, including bots that run without a display. Get guidance on capturing and supplying raw audio and video, connecting Qt or GTK interfaces, and configuring Docker environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a Zoom video session bot that runs in Docker
• Capture and process raw audio and video
• Supply custom media through a virtual camera or microphone

Develop C++ bots that join existing Zoom meetings from Linux servers without a graphical interface. Follow guidance for recording raw audio and video, feeding transcription or AI workflows, and handling authentication, recording permissions, and Docker audio setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a bot that automatically joins and records Zoom meetings
• Feed meeting audio into a transcription service
• Connect transcripts to AI summaries and action item extraction

Run nf-core workflows on local sequencing files or public GEO/SRA datasets to analyze gene expression, genetic variants, or chromatin accessibility. The skill guides environment checks, sample table preparation, workflow configuration, execution, and output verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze gene expression from RNA-seq data
• Identify genetic variants in WGS/WES data
• Analyze chromatin accessibility from ATAC-seq data

Operate apps and websites by inspecting screenshots, clicking controls, typing, and dragging. Use it to fill forms, check layouts, and test complete user flows, with recorded actions available for replay and review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill forms and use file upload dialogs
• Test buttons and complete user flows
• Check layouts and capture screenshots

Deploy FastGPT on your own server using its official installation script and Docker Compose, which runs its services together. Check service health and access, investigate deployment problems, and receive the access URL, initial login details, and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up FastGPT on your own server
• Checking service health after deployment
• Investigating port conflicts or container startup failures

Keep FastGPT build and test workflows aligned across GitHub Actions and Forgejo Actions. Adapt registry destinations, credentials, proxy settings, and platform-specific steps so the corresponding workflows support the internal network environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Synchronizing CI changes across GitHub and Forgejo
• Adapting image builds for an internal network
• Checking pull requests for missing workflow updates

Prepare resumes for specific job descriptions using Resume Matcher without an API key. Create a master resume, tailor supported experience, check application screening scores, write cover letters and outreach messages, and export PDFs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a master resume from existing documents
• Tailor a resume to a specific job
• Draft cover letters and outreach messages

Review local uncommitted changes, verify findings, and repeat focused repairs until the review converges or a blocker remains. Also supports Qwen Code issue fixes and review responses within workflows run through GitHub Actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review and repair local uncommitted changes
• Develop a focused fix for a selected issue
• Verify and address pull request feedback

Turn a written app specification into a runnable starter project using the requested technology stack. Generate implemented features, tests, configuration files, and setup instructions, then check the project for common omissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a requirements document into a starter project
• Creating a task API with FastAPI and SQLite
• Building a recipe-sharing website with Next.js

Choose a web application stack, generate a starter project, and assess existing code quality. Uses team size, release frequency, audience, and budget to guide recommendations, with reports covering security, complexity, dependencies, and prioritized improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating a starter project for a web application
• Choosing a technology stack within team and budget constraints
• Reviewing code security and complexity

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Deploy applications to Render by inspecting code and preparing build settings, environment variables, and required services. Generates render.yaml deployment configuration or creates services through MCP, then checks deployment status, logs, and basic health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a web application on Render
• Prepare deployment configuration for multiple services
• Set up databases and scheduled jobs

Guide releases of Happy's CLI, mobile app, web app, and server. Choose versions and release channels, follow build and test checks, publish through the designated services, and verify the resulting packages or app updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a stable or beta CLI release
• Delivering preview or production mobile updates
• Building native apps and submitting to stores

Customize a project's Docker environment with personal tools such as vim, ripgrep, or jq. The skill prepares user override files, adds requested packages, and provides rebuild commands while keeping personal configuration out of Git.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an editor or search tools to a container
• Keeping personal settings separate from shared files
• Customizing a source-built development environment

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing n8n on a VPS
• Running workflows in parallel with workers
• Publishing n8n with automatic HTTPS

Find the right specialist guidance for building, editing, testing, or debugging n8n workflows through n8n-mcp. This entry skill explains available tools, connection requirements, credential handling, and checks to perform before activating a workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the right skill for an n8n task
• Checking settings and connections before activation
• Investigating a workflow that behaves unexpectedly

Explain which process holds a port or file lock, what started it, and what keeps it running. Uses the witr CLI to trace services, containers, and parent processes without stopping or changing anything.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding what holds an occupied port
• Tracing a development server left running
• Explaining an unknown or stuck process

Get help setting up, configuring, and troubleshooting Paseo using current public documentation. Identify the affected host and connection method, then use relevant diagnostics to investigate provider, version, workspace, or connectivity problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get guidance on Paseo setup and configuration
• Investigate local or remote connection problems
• Diagnose missing providers or command errors