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From starttoscale
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
/starttoscale: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.Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub stromy-org/starttoscale-marketplace --plugin starttoscale