Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Create diagrams by writing standard Excalidraw element JSON and saving as .excalidraw files. These files can be drag-and-dropped onto excalidraw.com for viewing and editing. No accounts, no API keys, no rendering libraries -- just JSON.
write_file to create a .excalidraw filescripts/upload.py via terminalWrap your elements array in the standard .excalidraw envelope and save with write_file:
{
"type": "excalidraw",
"version": 2,
"source": "hermes-agent",
"elements": [ ...your elements array here... ],
"appState": {
"viewBackgroundColor": "#ffffff"
}
}
Save to any path, e.g. ~/diagrams/my_diagram.excalidraw.
Run the upload script (located in this skill's scripts/ directory) via terminal:
python skills/diagramming/excalidraw/scripts/upload.py ~/diagrams/my_diagram.excalidraw
This uploads to excalidraw.com (no account needed) and prints a shareable URL. Requires the cryptography pip package (pip install cryptography).
type, id (unique string), x, y, width, height
strokeColor: "#1e1e1e"backgroundColor: "transparent"fillStyle: "solid"strokeWidth: 2roughness: 1 (hand-drawn look)opacity: 100Canvas background is white.
Rectangle:
{ "type": "rectangle", "id": "r1", "x": 100, "y": 100, "width": 200, "height": 100 }
roundness: { "type": 3 } for rounded cornersbackgroundColor: "#a5d8ff", fillStyle: "solid" for filledEllipse:
{ "type": "ellipse", "id": "e1", "x": 100, "y": 100, "width": 150, "height": 150 }
Diamond:
{ "type": "diamond", "id": "d1", "x": 100, "y": 100, "width": 150, "height": 150 }
Labeled shape (container binding) -- create a text element bound to the shape:
WARNING: Do NOT use
"label": { "text": "..." }on shapes. This is NOT a valid Excalidraw property and will be silently ignored, producing blank shapes. You MUST use the container binding approach below.
The shape needs boundElements listing the text, and the text needs containerId pointing back:
{ "type": "rectangle", "id": "r1", "x": 100, "y": 100, "width": 200, "height": 80,
"roundness": { "type": 3 }, "backgroundColor": "#a5d8ff", "fillStyle": "solid",
"boundElements": [{ "id": "t_r1", "type": "text" }] },
{ "type": "text", "id": "t_r1", "x": 105, "y": 110, "width": 190, "height": 25,
"text": "Hello", "fontSize": 20, "fontFamily": 1, "strokeColor": "#1e1e1e",
"textAlign": "center", "verticalAlign": "middle",
"containerId": "r1", "originalText": "Hello", "autoResize": true }
containerId is setx/y/width/height are approximate -- Excalidraw recalculates them on loadoriginalText should match textfontFamily: 1 (Virgil/hand-drawn font)Labeled arrow -- same container binding approach:
{ "type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 200, "height": 0,
"points": [[0,0],[200,0]], "endArrowhead": "arrow",
"boundElements": [{ "id": "t_a1", "type": "text" }] },
{ "type": "text", "id": "t_a1", "x": 370, "y": 130, "width": 60, "height": 20,
"text": "connects", "fontSize": 16, "fontFamily": 1, "strokeColor": "#1e1e1e",
"textAlign": "center", "verticalAlign": "middle",
"containerId": "a1", "originalText": "connects", "autoResize": true }
Standalone text (titles and annotations only -- no container):
{ "type": "text", "id": "t1", "x": 150, "y": 138, "text": "Hello", "fontSize": 20,
"fontFamily": 1, "strokeColor": "#1e1e1e", "originalText": "Hello", "autoResize": true }
x is the LEFT edge. To center at position cx: x = cx - (text.length * fontSize * 0.5) / 2textAlign or width for positioningArrow:
{ "type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 200, "height": 0,
"points": [[0,0],[200,0]], "endArrowhead": "arrow" }
points: [dx, dy] offsets from element x, yendArrowhead: null | "arrow" | "bar" | "dot" | "triangle"strokeStyle: "solid" (default) | "dashed" | "dotted"{
"type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 150, "height": 0,
"points": [[0,0],[150,0]], "endArrowhead": "arrow",
"startBinding": { "elementId": "r1", "fixedPoint": [1, 0.5] },
"endBinding": { "elementId": "r2", "fixedPoint": [0, 0.5] }
}
fixedPoint coordinates: top=[0.5,0], bottom=[0.5,1], left=[0,0.5], right=[1,0.5]
Font sizes:
fontSize: 16 for body text, labels, descriptionsfontSize: 20 for titles and headingsfontSize: 14 for secondary annotations only (sparingly)fontSize below 14Element sizes:
See references/colors.md for full color tables. Quick reference:
| Use | Fill Color | Hex |
|---|---|---|
| Primary / Input | Light Blue | #a5d8ff |
| Success / Output | Light Green | #b2f2bb |
| Warning / External | Light Orange | #ffd8a8 |
| Processing / Special | Light Purple | #d0bfff |
| Error / Critical | Light Red | #ffc9c9 |
| Notes / Decisions | Light Yellow | #fff3bf |
| Storage / Data | Light Teal | #c3fae8 |
#757575references/dark-mode.mdreferences/examples.md아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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