<What it does, one line>. Trigger phrases: <phrases>.
日本語の概要は準備中です。原文の説明を表示しています。
Create and edit draw.io/diagrams.net diagrams as editable `.drawio` files. Covers architecture, UML/ERD/sequence, BPMN, network, and swimlane views authored from a description or converted from code, IaC, SQL, and API schemas, plus sync, query, test, review, export, and publish of existing diagrams. Use when the user asks for draw.io/diagrams.net or an editable diagram; prefer Mermaid/PlantUML when diagrams-as-code is enough.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Produce editable .drawio artifacts, not flattened pictures. The preferred
entrypoint is scripts/diagramctl.py, which unifies generation, incremental
sync, multi-view projection, semantic queries/tests/reviews, failure analysis,
and accessible publishing over a shared Diagram IR.
| Request | Route |
|---|---|
| Natural-language diagram with precise styling | Read references/diagram-types.md, then references/xml-authoring.md and author XML |
| Standard flowchart/mindmap/gantt/timeline/etc. with no special styling | If draw.io >=30, read references/mermaid-authoring.md and convert Mermaid to native .drawio |
| Large graph (~15+ nodes) that needs automatic layout | Use autolayout.py; read references/autolayout.md before passing any --layout value |
| Code, Terraform, K8s, compose, SQL, OpenAPI, AsyncAPI, or CI source | Use diagramctl.py build; read references/diagram-ir.md |
| Protocol Buffers schema (.proto) | Use protoimports.py or diagramctl.py build; read references/toolbox.md |
| GraphQL SDL schema (.graphql/.gql) or introspection JSON | Use graphqlerd.py or diagramctl.py build; read references/toolbox.md |
| Running cluster/stack/cloud (actual state, not declared config) | Read references/live-infra.md, then use tfstate.py, dockerimports.py, or k8simports.py - |
| Update a generated diagram without losing manual layout | Use diagramctl.py sync; read references/diagram-ir.md |
| Executive/system/deployment/data-flow/security views | Use diagramctl.py views; read references/diagram-ir.md |
| Query, architecture policy, review, what-if, or guided walkthrough | Read references/semantic-workflows.md |
| MCP host (Claude Desktop, Cursor, VS Code, Codex) should call these workflows | Register scripts/diagramctl_mcp.py; read references/mcp.md |
| Prompt phrasing for a diagram type or semantic workflow | Read references/cookbook.md |
| Enforce architecture rules or visual diffs in GitHub Actions CI | Read references/ci-gate.md |
| Rendered before/after/diff images as a PR review comment | Use prdiff.py; read references/pr-bot.md |
Existing .drawio to HTML/PPTX/Mermaid/Markdown/animation/runbook | Read references/toolbox.md; diagramctl.py transform exposes the existing tools |
| Pipeline, journey, or subsystem map drawn as a metro/subway map | Use tubemap.py; read references/tubemap.md |
| Shape, cloud/vendor, AI, or Databricks icon | Read references/shapes.md or references/databricks.md; never guess shape names |
| Learn/apply/manage a visual style | Read references/style-presets.md |
| Extract a reusable style from an existing diagram or theme | Read references/style-extraction.md |
| Existing image to editable diagram (screenshot, whiteboard photo, legacy PNG) | Read references/derasterize.md |
| Export/platform problem | Read references/troubleshooting.md; for access/network questions read references/security.md |
Run from this skill directory, or replace scripts/ with the absolute path to
this skill's scripts directory:
python3 scripts/diagramctl.py doctor
python3 scripts/diagramctl.py build model.json --from ir -o architecture.drawio
python3 scripts/diagramctl.py build ./infra --from terraform --group \
--ir-output architecture.ir.json -o architecture.drawio
python3 scripts/diagramctl.py sync architecture.drawio ./infra --from terraform \
-o architecture.next.drawio
python3 scripts/diagramctl.py views architecture.ir.json \
--views executive,system,deployment,dataflow,security -o views.drawio
python3 scripts/diagramctl.py test architecture.drawio --rules policy.yml
python3 scripts/diagramctl.py review architecture.drawio -o review.md
python3 scripts/diagramctl.py query architecture.drawio --from internet --to orders-db
python3 scripts/diagramctl.py whatif architecture.ir.json --fail kafka \
--drawio kafka-failure.drawio -o impact.json
python3 scripts/diagramctl.py story architecture.ir.json -o walkthrough.html
doctor does not launch GUI tools unless --probe is passed. Core semantic
commands are offline and stdlib-only.
Infer the diagram type, audience, scope, output format, and location from the
request. Ask only when a missing choice materially changes the result;
default to PNG plus .drawio in the working directory.
Select the authoring route from the table above. For a data-backed diagram,
prefer Diagram IR and preserve provenance. For a large graph, use an importer
or autolayout.py; do not hand-place more than roughly fifteen nodes.
Resolve an explicitly named style preset, or the user's default preset, as
documented in references/style-presets.md. Structural diagram conventions
and visual presets compose; they do not replace each other.
Generate the .drawio, then run structural validation:
python3 scripts/validate.py diagram.drawio --score
When semantic metadata or an architecture policy is in scope, also run
diagramctl.py test. Do not present inferred semantic findings as verified
runtime facts.
Export a draft PNG without embedded XML and inspect it visually. Fix obvious
overlap, clipping, disconnected edges, edge-through-node routing, stacked
edges, and unreadable labels. Stop automatic vision repair after two rounds.
When the drawio binary is unavailable or a visual check is inconclusive,
verify the renderer's own DOM instead (--dump-dom on the viewer URL, see
references/troubleshooting.md): read each edge's <path> segments and
label anchor coordinates directly — vision alone both misses geometry
defects and hallucinates new ones.
Show the draft and apply targeted edits. Preserve existing geometry for
local changes. Use sync for source-backed changes and write a reviewable
output; use --prune only when deletion was requested.
After approval, create final requested formats and report both editable source and export paths.
Resolve the available binary once (drawio, draw.io, the macOS app path, or
the Windows executable) and use that exact binary for the run.
# Draft for visual inspection: never use -e here
drawio -x -f png --width 2000 -o diagram.png diagram.drawio
# Final editable PNG
drawio -x -f png -e -s 2 -o diagram.drawio.png diagram.drawio
python3 scripts/repair_png.py diagram.drawio.png
# Final editable SVG/PDF
drawio -x -f svg -e --embed-svg-images -o diagram.svg diagram.drawio
drawio -x -f pdf -e -o diagram.pdf diagram.drawio
Do not combine --width and -s. Embedded PNG exports require
repair_png.py; draft PNGs used by vision must not use -e. On Linux headless,
follow references/troubleshooting.md rather than improvising Electron flags.
If the CLI crashes in a macOS sandbox, try one permitted escalated run, then use
encode_drawio_url.py or deliver XML; do not repeatedly launch it.
0 or 1.<mxGeometry relative="1" as="geometry"/>.data-model-id, semantic properties, manual geometry, and
manual styles intact unless the user requests otherwise.edgeports.py; add waypoints when an
edge still crosses an unrelated shape. There is no CLI-only edge rerouter
that preserves node positions.An attractive diagram can still be wrong. Prefer source-backed relationships, show provenance where useful, distinguish exact extraction from AI inference, and keep architecture review findings framed as prompts. Story HTML must remain self-contained, keyboard usable, and include a text alternative. Never include secrets in node properties or provenance because they are embedded in outputs.
For all focused scripts and composition patterns, read references/toolbox.md;
load only the task-specific reference needed for the current request.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
<What it does, one line>. Trigger phrases: <phrases>.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.
日本語の概要は準備中です。原文の説明を表示しています。
Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.
日本語の概要は準備中です。原文の説明を表示しています。
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
日本語の概要は準備中です。原文の説明を表示しています。
Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.
日本語の概要は準備中です。原文の説明を表示しています。