Organize GitHub work through task-specific modes for pull request reviews, issue tracking, releases, and branch management. Coordinate repository synchronization and CI/CD, the workflows that test and deploy changes, with support for multiple agents.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Coordinating pull request reviews and merges
- Organizing issues and tracking progress
- Managing releases and CI/CD workflows
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Coordinate groups of AI agents across multiple GitHub repositories. Analyze dependencies, organize shared updates and refactoring, run tests, and create linked pull requests so related projects can be changed together.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Updating dependencies across multiple repositories
- Coordinating shared API and library changes
- Applying security patches across projects
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Choose coding challenges matched to a learner’s level and goals within Flow Nexus. Validate submissions, review solution quality and efficiency, and track progress through rankings, achievements, badges, and challenge completion rewards.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding coding challenges suited to a learner’s level
- Reviewing submitted solutions and improvement opportunities
- Tracking rankings, badges, and learning progress
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Review GitHub pull requests with specialized AI agents that check security, performance, architecture, and coding conventions. Generate actionable comments with suggested fixes, and connect review findings to automated approval or change requests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing authentication changes for security issues
- Checking database changes for performance regressions
- Reviewing UI accessibility and coding conventions
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Import Claude Code auto-memory into AgentDB and search past notes by meaning across sessions and projects. The skill checks import status, consolidates near-duplicate entries, and returns search results with their memory sources identified.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Search past notes across projects
- Import all project memories for the first time
- Consolidate near-duplicate memories
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Replay recorded browser actions on the original or an alternative URL to check UI changes or reproduce bugs. When a page element cannot be found, the skill searches for a similar target and records how many steps succeeded.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking UI flows after a deployment
- Reproducing a bug from a recorded session
- Preparing repeated runs for screenshot comparison
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Compare two recorded browser sessions at matching step IDs using screenshots and accessibility snapshots, which describe page elements. Report the first difference and overall similarity to check interface changes or verify replayed sessions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking visual regressions after interface changes
- Verifying a replay against its original session
- Comparing A/B variants of a form workflow
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, manage releases, and analyze workflow performance and operating costs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating workflows suited to a project's languages
- Improving test parallelization and caching
- Investigating failures and proposing fixes
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Organize GitHub issues, synchronize project boards, and plan sprints, or short work cycles. Coordinate multiple AI agents to break issues into tasks, assign work, update progress, and track dependencies across a project.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Sort issues and assign labels and priorities
- Break large issues into tasks for AI agents
- Synchronize project boards with task progress
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Review GitHub pull requests, or proposed code changes, with specialized AI agents covering security, performance, architecture, style, and accessibility. Organize findings, suggest fixes, and post feedback through configurable review workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Review authentication changes for security issues
- Check database changes for performance regressions
- Review UI changes for accessibility and style
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Search document collections by meaning using embeddings, numerical representations of text. Compare text similarity, route queries among a few predefined patterns, and use a compressed search index when memory is limited.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding documents with similar meaning
- Comparing the similarity of two pieces of text
- Reducing memory use for large vector collections
ruvnet/ruflo☆ 7.8만2026년 10월 20일 업데이트
Review code changes with several independent reviewers working in parallel, then receive organized findings. Request a quick or thorough review, choose to hand off fixes, or run without interaction when another workflow or CI job initiates the review.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Review code changes from multiple independent perspectives
- Choose a quick or thorough review
- Receive findings with fixes handed off
bmad-code-org/BMAD-METHOD☆ 5.4만2026년 10월 20일 업데이트
Design custom laboratory parts as adjustable build123d models and export STEP, STL, and DXF fabrication files. Check mating dimensions against standards, test geometry, and visually review holders, mounts, microfluidic parts, and other research fixtures before fabrication.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Designing holders for microplates, cuvettes, and tubes
- Creating mounts and adapters for optical tables
- Modeling microfluidic chips and molds
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 19일 업데이트
Guides agents in choosing Cherry Studio tools for research, document conversion, memory, notifications, and other tasks. It explains when to use app tools or local runtimes, with checks for availability, configuration, and approval.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Choose the right Cherry Studio tool for a task
- Read or convert local Office and PDF files
- Set up scheduled tasks and notifications
CherryHQ/cherry-studio☆ 5.3만2026년 10월 20일 업데이트
Create a personalized nanobot upgrade skill after confirming how it was installed, which optional packages are needed, and whether a proxy is required. The saved skill includes environment checks, an upgrade command, and version verification.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Set up repeatable nanobot upgrades
- Include optional packages in future upgrades
- Configure upgrades through an HTTP proxy
HKUDS/nanobot☆ 4.9만2026년 10월 20일 업데이트
Develop and debug LangBot's backend and web frontend. The skill guides environment setup, API additions, authentication, database migrations, and testing, including updates to matching MCP tools so agents can use changed API features.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Set up the LangBot backend and frontend for development
- Add an API endpoint and its matching MCP tool
- Update the database schema with Alembic
langbot-app/LangBot☆ 1.8만2026년 10월 20일 업데이트
Prepare an isolated Python environment for SageMaker deployments and AWS automation. The skill selects a supported Python version, installs current AWS packages, and checks versions so installation and execution use the same environment.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare a Python environment for SageMaker deployment
- Separate AWS automation dependencies from system Python
- Check installed AWS package versions
huggingface/skills☆ 1.1만2026년 10월 9일 업데이트
Estimate inference memory for models on Hugging Face Hub without downloading their weights. Check GPU capacity for Safetensors or GGUF files, with optional estimates for the KV cache, memory used to retain attention data during generation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Check whether a model fits on a GPU
- Compare memory estimates for GGUF quantizations
- Estimate KV cache memory for a chosen context length
huggingface/skills☆ 1.1만2026년 10월 9일 업데이트
Generate images, edit reference images, or redraw selected areas using GPT Image 2 or 2.5 through a packaged command-line tool. Resolve the model, image size, and quality settings, with reference examples available to guide the request.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating posters and images with text
- Editing an existing image using references
- Redrawing a selected area with a mask
wuyoscar/GPT-Image2-Skill☆ 5.8천2026년 9월 30일 업데이트
Review changes to a multilingual source code parser, focusing on whether relationships between code elements are correct. Check consistency across languages and verify that test examples reproduce the issue and actually validate the fix.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking constructor call and instantiation relationships
- Reviewing name resolution and scope handling
- Checking whether a parser fix applies to other languages
vitali87/code-graph-rag☆ 5.3천2026년 10월 20일 업데이트
Draft and revise scientific manuscripts by organizing evidence into outlines, then developing connected paragraphs. Guides paper structure, citation formatting, figures and tables, and study-specific reporting requirements for research papers and journal submissions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turn research notes into manuscript paragraphs
- Organize a paper into standard research sections
- Align citations, figures, and reporting requirements
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Develop scientific manuscripts from literature-backed outlines into connected paragraphs. Organize introductions, methods, results, and discussions; integrate citations and figures; and adapt the manuscript to study reporting guidelines and the target journal’s requirements.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turning research outlines into manuscript paragraphs
- Organizing introductions, methods, results, and discussions
- Formatting citations for a target journal
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 19일 업데이트
Restructure claude-flow v3 into focused modules using Domain-Driven Design, which groups code by responsibility. Define module boundaries, event communication, and plugin interfaces to support a modular architecture with independently testable business logic.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Split an oversized orchestrator into focused modules
- Define boundaries between tasks, sessions, and monitoring
- Design plugin extensions and domain events
ruvnet/RuVector☆ 4.6천2026년 10월 20일 업데이트
Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Sharing stored patterns across multiple AgentDB instances
- Filtering semantic search by date or category
- Separating knowledge and conversation databases
ruvnet/RuVector☆ 4.6천2026년 10월 20일 업데이트