writing-vizro-yaml

writing-vizro-yaml is a skill for Claude Code from mckinsey/vizro. It costs 66 tokens per session (776 once invoked), scanned A, original, Apache-2.0.

A reference for writing and fixing Vizro YAML dashboards. Vizro is a Python framework for building interactive data dashboards from configuration and code.

In plain words
What is it for?
Use it when building or debugging a Vizro app, especially when configuring components, registering data, connecting custom chart functions, setting filters or parameters, or adding AG Grid tables.
Why use it?
It helps prevent common YAML and runtime mistakes involving charts, filters, data sources, custom functions, and tables.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the vizro-e2e-flow plugin — 6 skills shipped together

Good fit Use it when building or debugging a Vizro app, especially when configuring components, registering data, connecting custom chart functions, setting filters or parameters, or adding AG Grid tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mckinsey/vizro/writing-vizro-yaml
About the project

Vizro is an open-source Python toolkit for assembling data visualization applications from low-code configuration. It helps developers create dashboards and multi-page apps from charts, tables, controls, layouts, navigation, and interactions, with optional high-code customization. Catalogue add-ons support working with Vizro projects.

mckinsey/vizro · 3,789 stars · on GitHub · vizro.readthedocs.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mckinsey/vizro --skill writing-vizro-yaml
Clone the repo
git clone --depth 1 https://github.com/mckinsey/vizro

Made for: Claude Code.

Or install vizro-e2e-flow, the plugin that ships this one along with the rest of its 6 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for writing-vizro-yaml

README.md
[![agentmods](https://agentmods.dev/badge/skills/mckinsey/vizro/writing-vizro-yaml/github.svg)](https://agentmods.dev/skills/mckinsey/vizro/writing-vizro-yaml)
Your own site
<a href="https://agentmods.dev/skills/mckinsey/vizro/writing-vizro-yaml"><img src="https://agentmods.dev/badge/skills/mckinsey/vizro/writing-vizro-yaml/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for writing-vizro-yaml

Your own site · 80×15
<a href="https://agentmods.dev/skills/mckinsey/vizro/writing-vizro-yaml"><img src="https://agentmods.dev/badge/skills/mckinsey/vizro/writing-vizro-yaml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00776
Opus 5 $0.00033 $0.00388
Sonnet 5 $0.00013 $0.00155
Haiku 4.5 $0.00007 $0.00078

Measured 13d ago against content hash 17d1db43111c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

writing-vizro-yaml scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

vizro-e2e-flow/skills/writing-vizro-yaml/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vizro YAML & Component Reference

Critical Mistakes to Avoid

Each mistake below is expanded with code examples and fixes in yaml-reference.md.

  1. @capture("graph") receives a DataFrame — use data_frame directly; never re-lookup via data_manager[data_frame] (causes blank charts).
  2. data_manager is not subscriptable — pre-process on raw DataFrame, then register.
  3. Custom _target_ needs module prefix_target_: custom_charts.my_chart, not _target_: my_chart.
  4. type: figure has no title field — KPI titles go in _target_: kpi_card args.
  5. type: ag_grid requires _target_: dash_ag_grid.
  6. Parameter targets — format: "component_id.argument_name", not "component_id.figure".
  7. Quote YAML special chars in column namescolumn: "Version #" (unquoted # starts a comment).
  8. Filter targets: — omit when you want to apply it to all components on the page whose data source includes defined filter column.
  9. Grid must be rectangular — same component index must span same columns in every row.
  10. Column type consistency — filter column must have same dtype across all targeted datasets.

Quick Patterns

# Standard chart (scatter — no aggregation needed, each row is one point)
- figure:
    _target_: scatter
    data_frame: sales_data
    x: units
    y: revenue
  type: graph
  title: Revenue vs Units

# KPI card (title inside figure args, NOT on component)
- figure:
    _target_: kpi_card
    data_frame: kpi_data
    value_column: Revenue
    title: Total Revenue
    value_format: "${value:,.0f}"
  type: figure

# AG Grid table
- figure:
    _target_: dash_ag_grid
    data_frame: sales_data
  type: ag_grid
  title: Sales Data

# Filter with targets
controls:
  - column: region
    targets: [chart_1, chart_2]
    type: filter

Key Imports

import vizro.models as vm
from vizro import Vizro
import vizro.plotly.express as px
from vizro.tables import dash_ag_grid
from vizro.figures import kpi_card, kpi_card_reference
from vizro.models.types import capture
from vizro.managers import data_manager
from vizro.themes import palettes, colors

Read the full file on GitHub · 83 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 83 lines · 66 tokens per session scan A 17d1db43111c

Subscribe to this mod's changes

writing-vizro-yaml is a skill published in the GitHub repository mckinsey/vizro (3,789 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 776 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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