canvas - SKILL.md Agent Skill

name: canvas description: >- A Cursor Canvas is a live React app that the user can open beside the chat. You MUST use a canvas when the agent produces a standalone analytical artifact — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations, repeatable tools, or any response that benefits from visual layout. Especially prefer a canvas when presenting results from MCP tools (Datadog, Databricks, Linear, Sentry, Slack, etc.) where the data is the deliverable — render it in a rich canvas rather than dumping it into a markdown table or code block. If you catch yourself about to write a markdown table, stop and use a canvas instead. You MUST also read this skill whenever you create, edit, or debug any .canvas.tsx file. metadata: surfaces: - ide

A canvas is a single .canvas.tsx file the IDE compiles so the user can open it beside the chat. Follow the workflow below in order.

Workflow

1. Decide whether to use a canvas

The trigger is user intent, not response shape. Ask: would the user benefit from viewing this output as its own standalone artifact, separate from the chat? If the output is a means to an end (a drafted message, a code fix, a dashboard in another tool), skip the canvas.

Use a canvas when the agent produces new standalone analytical output:

Quantitative analyses and metrics breakdowns (e.g. "send 500 requests and tell me how many fail")
Billing or account investigations that surface structured findings from database queries
Security audits or architecture reviews with categorized findings
Cross-system data analyses and overlap reports
Structured data from MCP tools (Databricks, Datadog, etc.) where the data IS the deliverable
Financial analyses, margin decompositions, usage trend reports
Tables with more than a handful of rows that the user asked to see

Do NOT use a canvas when:

The user asks for work in a specific tool — "create a Datadog dashboard" means give them a Datadog dashboard, not a canvas
The user has a specific deliverable — "draft a support response", "fix this code", "make this PR"
The user is working within an existing artifact — improving an HTML dashboard, editing an existing file
The user is doing targeted debugging or active development, even if structured findings emerge along the way
Short factual answers, one-off file edits, or quick clarifying questions
MCP tools are queried as an intermediate step for a different deliverable (e.g. querying Stripe to draft a support reply)

2. Write the canvas

Location. Canvases live at /Users/<user>/.cursor/projects/<workspace>/canvases/<name>.canvas.tsx. The IDE only detects canvases written directly inside that exact directory — subfolders, alternate extensions, and other locations are not picked up. For a new canvas, always use the write file tool to create the .canvas.tsx file at that exact path; do not stop after telling the user the path or showing code in chat. Treat that managed canvases/ directory as pre-provisioned by Cursor itself: write the canvas file directly there and do not spend turns creating the directory with mkdir or checking whether it exists before writing. Listing its contents for other purposes (e.g. checking for existing canvases) is fine. If you can't determine the workspace directory from absolute paths already in your environment (terminals, transcripts, recently-viewed files), list ~/.cursor/projects/ rather than guessing. Use a descriptive kebab-case filename ending in .canvas.tsx; preserve acronym capitalization and lowercase the rest.

File rules:

Exactly one .canvas.tsx file per canvas. Never create helper files, style files, or supporting modules.
Import only from cursor/canvas. No relative imports, no npm packages, no Node built-ins.
Default-export the top-level component.
Embed all data inline. No fetch(), no network calls.

Never render empty states. A canvas exists to show real content. If a section, chart, table, or component has no data to display, omit it — do not render it with placeholder text ("Add header here", "TODO", "Example"), a "No data" message, an empty array, zeroed rows, or an empty chart frame. If the entire canvas would be empty because you don't have the underlying data, do not produce a canvas — tell the user what's missing and ask for it instead.

Label every plot. Charts and tables must be self-describing — a reader looking at the canvas alone should know exactly what they're seeing. For every plot include:

A title naming the specific metric (not "Metrics" — "API error rate by service").
Axis labels with units on both axes (e.g. "Date", "Latency (ms)").
A legend when more than one series is shown, with the exact series names from the source data.
The source and time range in a small caption (e.g. "Source: Datadog · last 7 days"). If a value is a transformation (mean, p95, normalized, smoothed), say so in the label.

Component discovery: prefer built-in cursor/canvas components over hand-rolled markup. The full public surface (components, hooks, prop types, tokens) is declared in ~/.cursor/skills-cursor/canvas/sdk/index.d.ts and its sibling .d.ts files — read them when you need exact exports, prop shapes, or hook signatures rather than guessing. Referencing an export that does not exist is the most common runtime error.

Apply the Canvas generation policy below as you write, and complete its pre-delivery self-check (section 6) before returning the canvas.

Design guidance

Be creative. The SDK gives you expressive building blocks — use them in whatever combination best serves the content. But avoid slop: no gradients, no emojis, no box-shadows, no rainbow coloring. Cursor canvases are flat, minimal, and purposeful.

Visual hierarchy

Not everything deserves equal treatment. Primary content gets more space, larger headings, and accent color. Supporting content stays compact. Squint test: blur your eyes — can you tell what matters?

Color. All colors from useHostTheme() tokens — read its JSDoc in the SDK declarations for the return shape and usage pattern. No hardcoded hex. Use accent color deliberately, not on everything.

Slop patterns — forbidden

These specific patterns produce low-quality output. If 2+ are present, redesign.

Gradients — no linear-gradient, radial-gradient, background-clip: text.
Emojis — no emoji as icons, status indicators, bullets, or section markers.
Box shadows — no box-shadow. Flat surfaces only.
Wall of identical cards — every section wrapped in the same card style with no variation. Mix open sections with cards.
Rainbow coloring — a different color on every element. Most elements are neutral; color is used sparingly with purpose.
Giant text — font sizes above H1 (24px), or bold text stuffed in CardHeader.
Decorative borders — colored borders on every element. Borders are structural (subtle stroke tokens), not decorative.

Pre-delivery self-check

Before returning canvas code, verify:

Does the layout have visual hierarchy? One thing should stand out.
Is there variety in the composition? Not just a single column of uniform blocks.
Slop check: scan for the forbidden patterns above.

Introducing the canvas

Whenever you mention a canvas to the user — one you created, updated, or want them to open — always include a markdown link to that .canvas.tsx file using its full absolute path (for example, [billing-review](/Users/<user>/.cursor/projects/<workspace>/canvases/billing-review.canvas.tsx)). Use a short descriptive label as the link text; do not refer to a canvas by name or path alone without the link.

When you create a canvas, add a short note in your chat response telling the user they can open it beside the chat, with that link:

First canvas — if no other .canvas.tsx files exist in the workspace's canvases/ directory, include one sentence explaining what a canvas is.
Unsolicited canvas — if the user didn't ask for a canvas, include one sentence explaining why you chose it over plain text.

Both can apply at once; one or two sentences total is enough. Skip the intro for subsequent canvases unless you are mentioning that canvas again (still link it).

Troubleshooting

If a canvas appears blank or missing, the most common cause is that it was not written under /Users/<user>/.cursor/projects/<workspace>/canvases/ exactly — re-save it to that path. Do not debug this by trying to create the managed directory manually; focus on correcting the file path instead. Users can click the canvas file path in the response to open it, just like any other file path in Cursor. Every canvas edit returns a Canvas TypeScript check line in the tool result reporting the file's current type errors (or "no errors") — treat that as the authoritative diagnostics signal.