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draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Persistent dietary safety layer for DoorDash CLI (dd-cli) ordering. Stores a personal/household dietary profile (allergens with severity tiers, diets, dislikes) that every cart is vetted against before checkout, with a deterministic tripwire — the vetting step saves the full cart contents to a vetted-cart dump, and a PreToolUse hook re-greps that dump against the anaphylaxis-severity allergen list before any checkout URL is allowed. Use when the user mentions allergies or dietary restrictions, when ordering food for someone with restrictions, or on every dd-cli cart flow while this skill is installed. A tripwire, not medical-grade — the human checkout page is the final check.
Group food ordering through the DoorDash CLI (dd-cli) from a persistent team roster. One request ("lunch for the team") fans out into a single merged cart with every line attributed to its eater via a person-to-cart-item-id ledger, per-person cost split with fee proration, payer rotation history, and a checkout gate that re-derives allergen conflicts against the roster live. Use when ordering for multiple people — team lunch, incident-response food, "collect orders from the thread" — or for /whose-turn payer rotation questions. Handles paste-a-thread intake: paste a Slack/chat thread and it builds the order ledger from it.
Accountability layer for agent-driven DoorDash ordering. Works with the doordash-audit-log hook (which appends every dd-cli invocation to an append-only audit log) and the /doordash-report command to answer "what has my AI been ordering and what did it cost" from data instead of memory. Use when the user asks about their DoorDash spending, ordering patterns, what the agent did in past sessions, or wants jq recipes for querying the audit log. Covers log schema, query patterns, rotation, and privacy guidance.
Named, context-bound saved DoorDash orders ("post-gym", "late-night deploy") recalled through the DoorDash CLI (dd-cli) with a mandatory cart-diff before any checkout link is handed over. Use when the user names a saved order ("order my post-gym bowl", "the usual", "my Friday ramen"), wants to save the order they just placed as a playbook, or asks to list/remove saved orders. Persists name→order-uuid playbooks across sessions, catches silent menu/price drift on every recall, and self-heals stale playbooks when a restaurant's menu changes. Requires dd-cli (macOS Apple Silicon, waitlist-gated).
Hard spending policy for agent-driven DoorDash ordering through the DoorDash CLI (dd-cli). Per-order ceiling, daily/weekly/monthly caps, cooldown between orders, and blocked hours — enforced deterministically by routing every cart-mutation and checkout through the dd-guard wrapper script, which prices the cart, checks the policy against a persistent spend ledger, and refuses out-of-policy checkouts with exit code 2. Use when the user wants budget limits on agent food ordering, asks "how much have I spent on DoorDash", wants to set spending caps, or whenever building carts / checking out with dd-cli while this skill is installed. Pairs with a PreToolUse hook that denies raw dd-cli checkout calls that bypass the wrapper.
Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.
| name | draw-io |
| description | draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage. |
.drawio files.drawio.png files.drawio.png by pre-commit hook in slidesFor diagrams used in Quarto slides,
specify defaultFontFamily in mxGraphModel tag:
<mxGraphModel defaultFontFamily="Noto Sans JP" ...>
Also explicitly specify fontFamily in each text element's style attribute:
style="text;html=1;fontSize=27;fontFamily=Noto Sans JP;"
See conversion script at scripts/convert-drawio-to-png.sh.
# Convert all .drawio files
mise exec -- pre-commit run --all-files
# Convert specific .drawio file
mise exec -- pre-commit run convert-drawio-to-png --files assets/my-diagram.drawio
# Run script directly (using skill's script)
bash ~/.claude/skills/draw-io/scripts/convert-drawio-to-png.sh assets/diagram1.drawio
Internal command used:
drawio -x -f png -s 2 -t -o output.drawio.png input.drawio
| Option | Description |
|---|---|
-x | Export mode |
-f png | PNG format output |
-s 2 | 2x scale (high resolution) |
-t | Transparent background |
-o | Output file path |
.drawio file in text editor (plain XML format)mxCell for element to adjust (search by value attribute for text)mxGeometry tag
x: Position from lefty: Position from topwidth: Widthheight: Heighty + (height / 2)Separate complex systems into staged diagrams:
| Diagram Type | Purpose |
|---|---|
| Context Diagram | System overview from external perspective |
| System Diagram | Main components and relationships |
| Component Diagram | Technical details and integration points |
| Deployment Diagram | Infrastructure configuration |
| Data Flow Diagram | Data flow and transformation |
| Sequence Diagram | Time-series interactions |
Include title, description, last updated, author, and version in diagrams.
background="#ffffff"<!-- For 10-character text, allow 300-400px -->
<mxGeometry x="140" y="60" width="400" height="40" />
<!-- Title -->
<mxCell id="title" value="..." .../>
<!-- Arrows (back layer) -->
<mxCell id="arrow1" style="edgeStyle=..." .../>
<!-- Other elements (front layer) -->
<mxCell id="box1" .../>
For text elements, exitX/exitY don't work, so use explicit coordinates:
<!-- Good: Explicit coordinates with sourcePoint/targetPoint -->
<mxCell id="arrow" style="..." edge="1" parent="1">
<mxGeometry relative="1" as="geometry">
<mxPoint x="1279" y="500" as="sourcePoint"/>
<mxPoint x="119" y="500" as="targetPoint"/>
<Array as="points">
<mxPoint x="1279" y="560"/>
<mxPoint x="119" y="560"/>
</Array>
</mxGeometry>
</mxCell>
Adjust offset attribute to distance arrow labels from arrows:
<!-- Place above arrow (negative value to distance) -->
<mxPoint x="0" y="-40" as="offset"/>
<!-- Place below arrow (positive value to distance) -->
<mxPoint x="0" y="40" as="offset"/>
<br> tag for line breaksWhen placing elements inside background frames (grouping boxes), ensure sufficient margin.
rounded=1) and stroke widthCoordinate calculation verification:
Background frame: y=20, height=400 -> range is y=20-420
Internal element top: frame y + 30 or more (e.g., y=50)
Internal element bottom: frame y + height - 30 or less (e.g., up to y=390)
Bad example (may overflow):
<!-- Background frame -->
<mxCell id="bg" style="rounded=1;strokeWidth=3;...">
<mxGeometry x="500" y="20" width="560" height="400" />
</mxCell>
<!-- Text: y=30 is too close to frame top (y=20) -->
<mxCell id="label" value="Title" style="text;...">
<mxGeometry x="510" y="30" width="540" height="35" />
</mxCell>
Good example (sufficient margin):
<!-- Background frame -->
<mxCell id="bg" style="rounded=1;strokeWidth=3;...">
<mxGeometry x="500" y="20" width="560" height="430" />
</mxCell>
<!-- Text: y=50 is 30px from frame top (y=20) -->
<mxCell id="label" value="Title" style="text;...">
<mxGeometry x="510" y="50" width="540" height="35" />
</mxCell>
AWS icon search examples:
python ~/.claude/skills/draw-io/scripts/find_aws_icon.py ec2
python ~/.claude/skills/draw-io/scripts/find_aws_icon.py lambda
Add auto-stretch: false to YAML header:
---
title: "Your Presentation"
format:
revealjs:
auto-stretch: false
---
This ensures correct image display on mobile devices.