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Manage Docker containers, images, storage volumes, and networks with standard commands. Start multi-service applications with Docker Compose, investigate failures through logs, check disk usage, and review Dockerfiles for improvements.

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• Starting and stopping containers
• Running multiple services with Docker Compose
• Investigating container crashes through logs

Set up reinforcement learning, training guided by response rewards, for large language models. Use Megatron-LM and SGLang to prepare data, configure training and response generation, and build asynchronous or multi-turn experiments.

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• Setting up GRPO training for a language model
• Overlapping response generation and training
• Training agents that use tools across multiple turns

Search X posts, publish updates, reply, send direct messages, and upload media through the official xurl command line tool. Retrieve post IDs and text, check timelines, and work across multiple apps or accounts.

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• Find posts about a topic and reply
• Publish posts with images or videos
• Check mentions and timelines

Build MCP servers that let AI access actions and data using mcp-use. The guide covers project setup, reusable prompts, interactive React interfaces, authentication, error handling, and deployment, with reference files for each area.

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• Create a new MCP server with mcp-use
• Add actions, data resources, or reusable prompts
• Build interactive React interfaces for browsing and selection

Review plans for APIs and developer tools through the eyes of their users. Explore developer needs, compare competitors, and identify onboarding friction, with modes for competitive differentiation, detailed refinement, or critical gaps.

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• Reviewing an API or SDK plan
• Finding friction in developer onboarding
• Comparing developer experience with competitors

Audit code and configuration for security flaws, documenting attack paths, impact, evidence, and coverage gaps. Static review works without running the application; qualified runtime profiles add isolated reproduction and proposed repairs while keeping verification claims separate.

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• Audit code and configuration for security flaws
• Review security risks in branch changes
• Reproduce findings and prepare repair candidates

Turn a topic or script into a finished MP4 with MoneyPrinterTurbo. The skill handles installation, configuration, generation, and delivery, with support for voice-over, subtitles, background music, and recovery from fixable generation errors.

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• Create a short social media video from a topic
• Turn an educational script into a narrated video
• Produce a marketing video using stock footage

Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.

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• Preparing version updates and release notes
• Coordinating releases across packages and repositories
• Deploying in stages with monitoring and rollback

Run RuView applications for occupancy, breathing and heart rate, activity, pose, sleep, and room changes. Choose suitable examples and startup commands for a simulated demonstration or a working ESP32 setup that captures WiFi signal measurements.

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• Try presence and occupancy sensing
• Explore breathing, heart rate, and sleep monitoring
• Run activity and pose estimation examples

Integrate RuView through shell commands, an HTTP API, or WebAssembly builds, which run compiled code in browsers and supported edge devices. Covers survivor scan commands, result exports, API hosting, and browser or ESP32 deployment paths.

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• Script survivor scans and export results
• Expose RuView sensing through HTTP
• Build RuView for browser use

Get RuView running with a Docker demo using simulated WiFi signal data, source checks, or live sensing with supported hardware. Choose a starting path based on available equipment and open a working sensing dashboard.

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• Try the dashboard without sensing hardware
• Explore the API or develop the interface using simulated data
• Check the Rust build and Python verification

Extract website content into Markdown, HTML, or plain text with Scrapling. Handle JavaScript-rendered pages and anti-bot challenges, or write Python crawlers that follow links, collect structured data, and resume interrupted runs.

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• Save article text as Markdown
• Extract content loaded by JavaScript
• Retrieve pages with anti-bot protections

Help DeerFlow maintainers investigate GitHub issues and review pull requests, or proposed code changes. It prepares or posts evidence-based comments with fix strategies, risks, and validation guidance, and compares competing proposals for the same issue.

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• Draft issue replies with fixes and validation steps
• Post evidence-based pull request review findings
• Review batches of issues and pull requests

Check a DeerFlow installation from code updates through deployment and basic service checks. Supports local and Docker setups, verifies frontend pages and API health, and produces a report with results and troubleshooting recommendations.

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• Checking DeerFlow after installation
• Verifying startup after a code update
• Checking a Docker deployment

Automate Docker Hub administration through Composio: create organizations and repositories, list teams, invite members, and configure webhooks that notify other services when container images are pushed to a repository.

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• Create a Docker Hub organization or repository
• Review repositories with filters and sorting
• List teams and invite organization members

Automate Docker Hub repository, image, and tag management through Rube MCP. Discover available operations and their required inputs, then carry out individual tasks, connected workflows, or bulk operations using Composio’s toolkit.

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• Manage Docker Hub repositories, images, and tags
• Check available Docker Hub operations
• Connect multiple registry management steps

Coordinate software releases on GitHub, from version updates and release notes to testing, builds, deployment, and rollback. It describes workflows using multiple AI agents, including coordinated package releases and gradual deployments with monitoring.

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• Prepare version updates and release notes
• Coordinate releases across multiple packages
• Run tests and security checks before release

Manage Flow Nexus accounts, run code in sandboxes, deploy app templates, and track credits. The skill guides platform operations through connected tools, including file storage, execution monitoring, and coding challenge submissions.

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• Create a sandbox and run development code
• Find and deploy an app template
• Check credit balances and payment history

Check opencode commands, HTTP server behavior, lifecycle events, and terminal startup with purpose-built scripts. Find stored sessions by ID, title, or scoped message searches, and export conversations as JSON for further inspection.

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• Check CLI commands and HTTP server health
• Observe lifecycle events associated with plugin hooks
• Check terminal startup and keyboard input

Test omo Codex Light edition in an isolated environment using real Codex and a local mock model. Verify installation, plugin hooks, and terminal startup, with captured evidence and no calls to a real model API.

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• Verify installation and config.toml changes in isolation
• Confirm plugin hooks run during a real Codex turn
• Check terminal interface startup

Test a running web application with Strix to find authentication, access control, and other security flaws. Review working proof-of-concept exploits, which demonstrate each issue, and use the evidence to guide fixes and retesting.

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• Security testing a staging web application
• Checking access between accounts and organizations
• Testing a local development server

Use Strix to test web apps, APIs, and source code for exploitable security flaws. Choose local or cloud execution, set testing scope and budget, and review validated findings with reproducible examples and structured reports.

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• Security testing an application or API
• Testing source code alongside a deployed application
• Choosing between local and cloud execution

Plan and coordinate Strix security assessments across source code, running applications, APIs, and continuous integration pipelines. Combine findings into one prioritized remediation plan based on demonstrated impact, removing duplicates and documenting gaps in test coverage.

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• Choosing suitable security tests for a product
• Planning a security assessment before launch
• Combining findings into a prioritized remediation plan

Run security tests for web apps, APIs, and source code on Strix Cloud without local Docker or an LLM key. Register targets, review findings in a team dashboard, export results, and configure recurring scans or PR reviews.

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• Running security tests without local Docker
• Tracking vulnerability status across a team
• Scheduling scans and starting PR security reviews