OpenClaw · Skill

It

Produce a workshop output on Miro that is:

Coding Agents & IDEs
v1.0.0
VirusTotal: Suspicious

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

clawhub install simoneferrario/miro-workshop-assistant

ClawHub installer

npx clawhub@latest install simoneferrario/miro-workshop-assistant

OpenClaw CLI

openclaw skills install simoneferrario/miro-workshop-assistant

Direct OpenClaw install

openclaw install simoneferrario/miro-workshop-assistant

What this skill does

Produce a workshop output on Miro that is:

Why it matters

It creates proper Miro frames as containers instead of loose sticky notes, preserving the spatial structure of the original whiteboard so the output is immediately editable.

Typical use cases

  • Turning a whiteboard photo from a sprint retrospective into a Miro frame diagram
  • Digitizing handwritten workshop notes with labeled swimlane containers
  • Re-pushing a corrected diagram without leaving duplicates on the board
  • Undoing a mistaken Miro push and replacing it with a regenerated version
  • Mapping physical workshop outputs to a Miro architecture diagram

Source instructions

Workshop → Miro (Top Mode vNext)

Goal

Produce a workshop output on Miro that is:

  • readable as a diagram (not “scattered post-its”)
  • easy to edit (real containers)
  • idempotent (no duplicates)
  • correctable (undo / delete / update)

Security (mandatory)

  • Never print MIRO_ACCESS_TOKEN
  • Use only env vars: MIRO_ACCESS_TOKEN and MIRO_BOARD_ID
  • Never use browser cookies/session tokens

Key rule: a container = a FRAME (not a shape)

A “workshop container” must be a FRAME when:

  • there is a large rectangle/square with a clear title (e.g., “Easy vision”, “Milestone”, “VMS”, “Data Hub”, “Vico Insider”)
  • or there is a swimlane/column with a title
  • or a box is clearly grouping multiple elements (stickies or sub-boxes)

Do NOT create a frame if:

  • it’s just blank space without a title
  • it’s only a decorative border without grouping meaning

HARD REQUIREMENT (do not violate)

  • You MUST create frames[] when the board contains categories/areas.
  • You MUST assign a non-null frameId to each sticky (except explicit "outside notes").
  • If frames[] is empty OR if >10% stickies have frameId=null:
    • DO NOT run the push command.
    • Regenerate the structure (max 2 attempts).

Quality Gate — Container sanity check (mandatory)

If the image contains >=2 titled containers:

  • frames.length MUST be >= 2
  • at least 95% of stickies MUST have a non-null frameId If not satisfied:
  • DO NOT push
  • Regenerate structure (max 2 attempts)

Mandatory planning (do not print)

Before generating JSON and before running DIRECT PUSH:

  1. Identify candidate FRAMES:
    • any large rectangle with a title
    • any area labeled on the side or centered above/below
  2. Assign every sticky to a candidate frame.
  3. If a sticky is ambiguous, add a warning and assign it to the closest/most plausible frame.
  4. Only after that, generate the final JSON.

Quality Gate (mandatory)

Before executing node ... apply:

  • At least 1 frame must exist.
  • At least 90% of stickies must have a non-null frameId.
  • No frame should be “giant” if the image clearly contains multiple distinct areas.
  • If the gate fails, DO NOT push: regenerate the structure (max 2 attempts).

Dedup / Idempotency (mandatory)

  • Every push must include a STABLE meta.sessionKey for the same diagram/topic (e.g., "easy-vision-workshop").
  • Every push must include a unique meta.runId (timestamp).
  • If the sessionKey is the same:
    • first remove the previous run (automatic undo)
    • then apply the new one This prevents duplicates and repeated runs.

Operating modes

A) DIRECT PUSH (default if the user asks)

  1. Generate a Miro-ready JSON (schema below) including:
    • meta.sessionKey (stable)
    • meta.runId (unique)
  2. Save the JSON to:
    • ...\workshop-miro\_out\miro-ready-YYYYMMDD-HHMMSS.json
  3. Execute:
    • node ...\miro-push.mjs apply <PATH_JSON>
  4. Reply with:
    • frames created: N
    • stickies created: N
    • connectors created: N
    • sessionKey + runId
    • warnings (if any)

B) CORRECTIONS (when the user wants changes)

  • UNDO (per session): node ...\miro-push.mjs undo <sessionKey>
  • If the user says “redo it better / wrong category / move things”:
    • regenerate a corrected JSON with the same sessionKey
    • run APPLY again (it replaces the previous run)

Note: fine-grained edits (delete/update a single sticky) are a next step if the script supports them. Otherwise, recommended: full regeneration with the same sessionKey (cleaner and usually faster).

Smart layout rules

  • Inside each frame:
    • left: inputs/sources
    • center: processing / API / platforms
    • right: outputs/UI/external integrations
  • Spacing guideline: x += 420, y += 260
  • If there is a long arrow crossing the whole diagram:
    • prefer 2 shorter connectors via an intermediate node (e.g., sticky “API” or “Integration”) if it improves readability

Connector / relationship rules

Create a connector when:

  • you see an arrow/line on the whiteboard
  • or the text implies a flow: "API", "sensoren", "data", "->", "integration"
  • connector label: use the word that describes the flow (e.g., “API”, “Sensoren”, “Data”, “Milestone”)

Default connector shape: "elbowed" (more readable for architecture diagrams).

Anti-overlap rules (clean arrows)

Goal: avoid connectors crossing over stickies/notes.

  • Use default connector shape = "elbowed".
  • Always keep a free “routing lane”:
    • Do not place stickies close to frame borders.
    • Minimum inner frame padding: 160px.
  • If a connector would be long or would cross a cluster:
    • create one or more “router nodes” (gray sticky with "." or empty text) placed outside clusters
    • split the connection into segments: A -> R1 -> R2 -> B
  • For connections between different frames:
    • use a router node near the right border of the source frame
    • and a router node near the left border of the target frame

JSON Output (FRAME-based)

{ "meta": { "title": "string", "source": "photo|notes", "language": "it|de|en", "createdAt": "ISO-8601", "sessionKey": "string (stable)", "runId": "string (unique)" }, "frames": [ { "id": "F1", "title": "string", "x": 0, "y": 0, "w": 1400, "h": 900 } ], "stickies": [ { "id": "S1", "frameId": "F1|null", "text": "string", "color": "light_yellow|light_blue|light_green|light_pink|gray", "x": 0, "y": 0, "unclear": false } ], "connectors": [ { "from": "S1", "to": "S2", "label": "string|null", "shape": "straight|elbowed|curved" } ], "warnings": [ "string" ] }

HARD Containment Detection (mandatory)

A "container" is a large rectangle that encloses other notes and has a title (e.g. "Product A", "Product B").

You MUST do this:

  1. Create one FRAME per container rectangle (title = the container title).
  2. Assign EVERY inner note to that frame via frameId.
  3. Only outer notes (explicitly outside all containers) may have frameId=null.

Containment must be interpreted literally:

  • If an element is visually inside the container boundaries, it belongs to that container.
  • If unsure, assign to the nearest container and add a warning.

Quality checklist (before pushing)

  • sessionKey present and stable
  • no giant “Workshop” frame unless the photo truly shows a single big box
  • every sticky belongs to the correct frame (category)
  • no duplicate stickies with identical text inside the same frame
  • connectors only where they make sense (not between every pair)

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