academic-figures skill for OpenClaw
What this skill does
Publication-ready scientific figures from one command — 22 chart types (bar, grouped bar, scatter, heatmap, forest plot, KM survival curve (Kaplan-Meier), ROC, violin, box, composite panels, PRISMA 2020 flow, funnel, Bland-Altman, PCA, venn 2-4 sets, clustered heatmap, dual-axis, Cox multi-variable regression forest), 9 themes incl. colorblind-safe Okabe-Ito and NEJM/Lancet/Science journal palettes, 9 journal submission presets, YAML figure pipeline (a whole paper in one command), multi-format export (TIFF/PNG/PDF in one run), Python API, --wizard chart picker, render watchdog with auto-degrade retry, reviewer-style --annotate arrows, PDF text-overlap + font-size gates, 600dpi output. 100% local — data never leaves your machine.
The academic-figures skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.
How to install the academic-figures skill
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
academic-figuresand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add the academic-figures skill with a single command:
openclaw skills add academic-figures
This pulls academic-figures from ClawHub and installs it into ~/.openclaw/skills/academic-figures/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the academic-figures skill
Once installed, the academic-figures skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Turning images into video
academic-figures works with images. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — turns stills into motion — pans and transitions, synced captions, and a vertical export for short-form feeds.
It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.
Manual install (advanced)
If you prefer manual installation:
- Click the Download skill .zip button above to grab
academic-figures-4.1.0.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/academic-figures/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install academic-figures?
Install academic-figures in the OpenClaw Easy desktop app by opening the Skills panel, searching for academic-figures, and clicking Install. From a terminal you can run: openclaw skills add academic-figures. Either way the skill is placed in ~/.openclaw/skills/academic-figures/.
Is the academic-figures skill free?
Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.
What does academic-figures do?
Publication-ready scientific figures from one command — 22 chart types (bar, grouped bar, scatter, heatmap, forest plot, KM survival curve (Kaplan-Meier), ROC, violin, box, composite panels, PRISMA 2020 flow, funnel, Bland-Altman, PCA, venn 2-4 sets, clustered heatmap, dual-axis…
Related: more developer tools skills
If the academic-figures skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:
Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.
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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models