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From amaris-consulting
Render brand-aware data-visualisation charts using Plotly.js. The LLM authors any Plotly figure JSON (30+ chart types — waterfall, sankey, sunburst, treemap, funnel, parallel coords, calendar heatmap, candlestick, gauge, radar, themeRiver, marimekko-via-stacked, etc.) and this skill applies the client's brand theme from charter.plotly + tokens.css, then renders to PNG/SVG for embedding in PPTX/DOCX/PDF. Use whenever the user asks for a chart, data visualisation, plot, graph, KPI viz, or asks to add a quantitative visual to a deliverable. Defers to the `format-diagram` skill for structural visuals (process flows, org charts, stakeholder maps) — `chart` is purely numerical data-viz.
How this skill is triggered — by the user, by Claude, or both
Slash command
/amaris-consulting:format-chartThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill's full instructions are hosted on the `stromy-format` MCP server. Do not hardcode workflow logic locally — always fetch the live version from the MCP.
This skill's full instructions are hosted on the stromy-format MCP server. Do not hardcode workflow logic locally — always fetch the live version from the MCP.
Read the main skill instructions:
→ call the fs_read tool on the stromy-format MCP with path="skills/format-chart/SKILL.md".
Discover reference files (and any other skill assets), then read on demand:
→ call fs_list with path="skills/format-chart" (and path="skills/format-chart/references"),
→ call fs_read with path="skills/format-chart/references/<file>".
Follow the instructions returned by the MCP exactly.
Produce this skill's output only by following the live SKILL.md fetched above and calling the stromy-format MCP's own tools. Do not substitute a local or identically-named base skill from elsewhere, and do not invent your own output path. A locally-produced or unbranded artifact is wrong output, not a fallback — it bypasses the server-side brand and quality gates.
stromy-format MCP is slow to respondThis server scales to zero to save cost, so the first call may take ~10–30s to cold-start. If fs_read or a tool errors with unavailable/timeout:
fs_read call — the call itself wakes the container.Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub stromy-org/amaris-marketplace --plugin amaris-consulting