420company
420company/artemis
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/420company/artemis --skill help命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
This skill should be used when the user asks to "call the Spotify Ads API", "create a Spotify ad campaign", "manage Spotify ads", "pull Spotify ad reports", "set up ad sets or ads", "upload ad assets", "target audiences on Spotify", "check campaign status", "get ad account info", "look up API schema or fields", "check what targeting options exist", or asks about Spotify advertising endpoints, request/response formats, enum values, or authentication.
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
基于 SOC 职业分类
正在显示 SKILL.md
| name | help |
| description | Get help with FiftyOne skills, understand available workflows, and troubleshoot setup issues |
This plugin provides expert workflows for building high-quality datasets and computer vision models using FiftyOne.
Before using FiftyOne skills, ensure the MCP server is installed:
pip install fiftyone-mcp-server
The plugin automatically configures the MCP server connection via .mcp.json. If you installed FiftyOne in a virtual environment or conda environment, update the command path in .mcp.json to point to your environment's executable:
{
"mcpServers": {
"fiftyone": {
"command": "/path/to/your/venv/bin/fiftyone-mcp"
}
}
}
Skills for working with datasets and models:
| Skill | Command | Use When |
|---|---|---|
| Dataset Import | /fiftyone:fiftyone-dataset-import | Importing any dataset (COCO, YOLO, VOC, videos, point clouds, multimodal, Hugging Face Hub) |
| Dataset Export | /fiftyone:fiftyone-dataset-export | Exporting datasets to standard formats or Hugging Face Hub for training or sharing |
| Find Duplicates | /fiftyone:fiftyone-find-duplicates | Removing duplicate or near-duplicate images from datasets |
| Dataset Inference | /fiftyone:fiftyone-dataset-inference | Running detection, classification, segmentation, or embeddings on data |
| Model Evaluation | /fiftyone:fiftyone-model-evaluation | Computing mAP, precision, recall, confusion matrices |
| Embeddings Visualization | /fiftyone:fiftyone-embeddings-visualization | Exploring dataset structure, finding clusters, identifying outliers |
| Create Notebook | /fiftyone:fiftyone-create-notebook | Creating Jupyter notebooks for tutorials, getting-started guides, recipes, or ML pipelines |
Skills for developers building with FiftyOne:
| Skill | Command | Use When |
|---|---|---|
| Develop Plugin | /fiftyone:fiftyone-develop-plugin | Creating custom operators or panels for FiftyOne App |
| VOODO Design | /fiftyone:fiftyone-voodo-design | Building UIs with VOODO components, styling FiftyOne panels |
| Code Style | /fiftyone:fiftyone-code-style | Writing Python code following FiftyOne conventions |
| Issue Triage | /fiftyone:fiftyone-issue-triage | Triaging GitHub issues in the FiftyOne repository |
If skills aren't working as expected:
Verify MCP server installation
pip show fiftyone-mcp-server
Test MCP connection Ask: "List my FiftyOne datasets"
If this works, MCP is properly configured.
Check FiftyOne installation
pip show fiftyone
Verify Python environment Ensure you're using the same environment where FiftyOne is installed.
/fiftyone:quickstart - Guided workflow to get started/fiftyone:help - This help document