Review local character animations before sharing previews or final renders. Check structured design data, asset files, browser errors, sampled motion frames, and MP4 metadata, then classify the result as pass, revise, or fail.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking character animation previews before sharing
- Finding missing assets and browser errors
- Inspecting sampled frames for motion and visual issues
calesthio/OpenMontage☆ 7만2026년 10월 17일 업데이트
Automate forms, clicks, screenshots, and website checks in a browser where you are already signed in. A separately launched browser also supports scraping and network capture, while login or verification steps can be handed to a person.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Fill forms on websites where you are already signed in
- Capture screenshots and check website behavior
- Record network traffic in a separately launched browser
code-yeongyu/oh-my-openagent☆ 7만2026년 10월 20일 업데이트
Reviews completed changes through hands-on checks and one reviewer agent. It compares the implementation and recorded evidence with the original goal, constraints, code quality, and security requirements, then reports approval, specific blockers, or an inconclusive result.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing completed changes before a pull request handoff
- Checking whether an implementation meets the original request
- Organizing failed checks and required fixes
code-yeongyu/oh-my-openagent☆ 7만2026년 10월 20일 업데이트
Verify documents, spreadsheets, presentations, and web deliverables before sharing them. Combine file checks with inspection of freshly rendered output, and scan for unfinished text to catch clipped content, layout problems, and leftover placeholders.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Check documents before delivery
- Inspect rendered pages for layout problems
- Find leftover placeholders and sample text
asgeirtj/system_prompts_leaks☆ 7만2026년 10월 20일 업데이트
Test a changed website or desktop app by operating it directly. Use browser and desktop control tools to compare states before and after actions, checking visible results such as text, input values, selections, and status indicators.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Test a website after changing its interface
- Reproduce a bug through real browser interactions
- Check state changes in a native desktop app
openinterpreter/openinterpreter☆ 6.9만2026년 10월 11일 업데이트
Check a local web page after editing by opening it in Chromium and exercising its controls automatically. It reports inconsistent behavior without requiring test scripts or an API key, giving you findings to investigate before further changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking controls on a newly created HTML page
- Checking a page after JavaScript or CSS changes
- Running a smoke test on locally built output
sickn33/agentic-awesome-skills☆ 4.8만2026년 10월 19일 업데이트
Explore a web application as a user to find reproducible bugs and usability problems. Produce a structured report with reproduction steps, screenshots, and videos for interactive issues, giving responsible teams concrete evidence to investigate.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking a web app's quality before release
- Testing forms and common user workflows
- Finding confusing interfaces and visual problems
vercel-labs/agent-browser☆ 4.4만2026년 10월 20일 업데이트
Set up a browser automation command-line tool for agents to navigate sites, fill forms, extract data, and capture screenshots. It also points to dedicated guides for app testing, Electron desktop apps, and cloud browsers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Automate form entry and navigation on websites
- Extract page data and capture screenshots
- Explore web apps to find bugs and quality issues
vercel-labs/agent-browser☆ 4.4만2026년 10월 20일 업데이트
Check an MCP server before release through a real client session. Compare available features with source code and documentation, test invalid requests and installation, and produce a verdict backed by reproducible commands and responses.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking an MCP server before release
- Comparing live features with source code and documentation
- Testing invalid requests and error responses
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Convert feature requirements and implementation plans into a test strategy, task checklist, and quality assurance plan for GitHub projects. Define test coverage, priorities, dependencies, estimates, and quality checkpoints using established testing and software quality frameworks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Plan testing from feature requirements and implementation documents
- Break testing work into tasks for GitHub issue management
- Prioritize performance, security, and accessibility checks
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Compare a UI screenshot with reference images and receive a structured JSON assessment. Get a score, pass or revision status, concrete visual differences, and suggested edits for layout, spacing, typography, colors, and visual hierarchy.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking whether an implemented screen matches its reference
- Finding differences in spacing, typography, and colors
- Prioritizing edits from structured visual feedback
Yeachan-Heo/oh-my-claudecode☆ 4만2026년 10월 20일 업데이트
Build image-based conversations with LLaVA, an AI model that combines image understanding with language. Covers setup, model selection, image descriptions, follow-up questions, and memory-saving options for running models on a GPU.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Building a chatbot that answers questions about images
- Generating image descriptions and captions
- Exploring a scene through follow-up questions
davila7/claude-code-templates☆ 3.3만2026년 10월 20일 업데이트
Assess language models with over 60 academic benchmark tests using consistent prompts and scoring. Compare models, track performance during training, and organize research results with support for HuggingFace models, vLLM, and APIs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Compare models on standard knowledge and reasoning tests
- Track model performance across training checkpoints
- Organize evaluation results for research reports
davila7/claude-code-templates☆ 3.3만2026년 10월 20일 업데이트
Build image captioning, visual question answering, and text-based image search with BLIP-2. The skill explains model selection, batch processing, and memory-saving settings, with Python examples for connecting image understanding to language models.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Generating captions for multiple images
- Building a question-answering system for images
- Searching an image collection with text
davila7/claude-code-templates☆ 3.3만2026년 10월 20일 업데이트
Connect a company SQL database, support ticket exports, and documents in cognee, linking shared people, teams, and projects so questions about ownership, decisions, and ongoing work can draw on several sources together.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding owners across company databases, tickets, and documents
- Tracing decisions across multiple company sources
- Checking who is handling a support issue
topoteretes/cognee☆ 3.3만2026년 10월 20일 업데이트
Create animated Codex pets from character art, text ideas, or brand cues. Generate nine animation states, assemble a transparent sprite sheet, check appearance and movement, and package the results with a pet configuration file.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turn character art into an animated Codex pet
- Create a pet in plush, clay, or other non-pixel styles
- Design a mascot from company or brand cues
openai/skills☆ 2.8만2026년 9월 9일 업데이트
Turn game bug descriptions or suspected code problems into structured reports with reproduction steps, severity, and priority. Follow reported bugs through fix verification and closure, recording test results or manual checks before marking an issue closed.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turning a bug description into a structured report
- Finding potential bugs in a specific file
- Verifying a fix through tests or manual checks
Donchitos/Claude-Code-Game-Studios☆ 2.7만2026년 10월 19일 업데이트
Prepare a game's launch day patch by selecting known bugs that are safe to fix quickly. Coordinate minimal fixes, verify affected areas, and document deferred issues, quality checks, rollback procedures, and patch notes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Selecting known bugs for a launch day patch
- Planning minor fixes from platform certification feedback
- Verifying fixes and checking affected game systems
Donchitos/Claude-Code-Game-Studios☆ 2.7만2026년 10월 19일 업데이트
Test user journeys affected by a branch’s changes in a real browser. Check correctness and the experience for intended users, fix small defects with regression tests, and commit fixes alongside a report documenting results and unresolved decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Check user-facing changes before a PR is merged
- Test complete user journeys affected by a branch
- Fix small defects and add regression tests
EveryInc/compound-engineering-plugin☆ 2.6만2026년 10월 19일 업데이트
Automate website tasks using ego-browser, a Chromium browser shared by people and AI agents. Use logged-in sites to fill forms, click buttons, extract page data, capture screenshots, and investigate web app behavior or quality.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Fill out forms on a logged-in website
- Extract information from web pages
- Capture screenshots of a website
citrolabs/ego-lite☆ 1.8만2026년 10월 20일 업데이트
Work through design or implementation choices one at a time, with concise context and clear alternatives. You can also review completed code change by change, recording decisions, approvals, and requested revisions in a final table.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Compare design choices one decision at a time
- Resolve implementation choices with recorded answers
- Review completed code in logical steps
superset-sh/superset☆ 1.5만2026년 10월 20일 업데이트
Build image captioning, visual question answering, and text-based image search with BLIP-2. The skill guides model selection, batch processing, and memory optimization, with examples for understanding images without training for each specific task.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Generate captions for multiple images
- Build a question-answering system for images
- Search an image collection using text
Orchestra-Research/AI-Research-SKILLs☆ 1.4만2026년 10월 11일 업데이트
Build image conversations with LLaVA, a model that connects image recognition with language. This skill guides setup, image descriptions, visual questions, and follow-up conversations, with examples for Python, command-line use, and a Gradio interface.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build a chatbot that answers questions about images
- Write detailed descriptions of photos
- Ask follow-up questions about the same image
Orchestra-Research/AI-Research-SKILLs☆ 1.4만2026년 10월 11일 업데이트
Assess language models with over 60 academic benchmark tests using consistent prompts and scoring. Compare models, track performance during training, and organize research results with support for HuggingFace models, vLLM, and APIs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Compare models on standard knowledge and reasoning tests
- Track model performance across training checkpoints
- Organize evaluation results for research reports
Orchestra-Research/AI-Research-SKILLs☆ 1.4만2026년 10월 11일 업데이트