visualize
Skill2 starsChanged 11 days agoMITView on GitHub
Turn a plan, report, dataset, or explanation into a self-contained visual artifact - a single offline HTML file (default) or a PDF. Use on demand when a wall of markdown is hard to read, when a plan or spec needs reviewing before approval, when data needs a chart or dashboard, or when the deliverable must be a PDF. Triggers on 'visualize', 'visualise', 'render this as HTML', 'make an HTML page', 'make a report page', 'turn this into a page', 'make a visual', 'chart this', 'dashboard for', 'PDF of this', 'export to PDF', 'make this readable'. Do NOT trigger for: editing an existing slide deck or document, generating photos or marketing imagery, or plain prose the user wants to keep as text.
45 other projects use a version of this.
Adopted by
Most recently taken up by
- ex3ndr/skillstheir own version, first seen Nov 1, 2026
- therapys/dotagentstheir own version, first seen Nov 1, 2026
- Adrian333Dev/flowtheir own version, first seen Nov 1, 2026
- stefanprodan/1ctxtheir own version, first seen Oct 25, 2026
- PKU-DAIR/AutoScitheir own version, first seen Oct 25, 2026
- OpenClawAndroid/openclaw-android-assistanttheir own version, first seen Oct 17, 2026
Used with
Projects with it also use exp-pilot-eval, exp-pilot-run and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 4 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 4 projects that use this
phanghonghaoSkillposter
HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.
Also in 4 projects that use this
- +1 more from skyllwt
- +6 more from Lambenthan
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- amosblomqvist/learn★ 3.4ksame name
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 5 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 43 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Read the visualization book's table of contents, then pull only the chapters this request needs:
- Very specific: line 14
Always load ch02-self-contained-html.md - the core craft.
- Very specific: line 18
Check ch05-gotchas.md before shipping.
- Distinctive: line 20
Read the book and apply it - don't reproduce it here.
- Very specific: line 26
Save it somewhere sensible and open it: Default: a visualizations/ folder in the current project (create it), or the path the user names.
- Distinctive: line 28
Iterate: if the user marks up or asks for changes, keep editing the same file.
- Very specific: line 33
If you hit a rendering gotcha worth remembering (a layout that broke, a print-CSS quirk, a data-URI size limit), append it to …
- Distinctive: line 37
One file, fully offline: No CDN links, no external fonts, no fetch/XHR.
- Distinctive: line 38
On demand only: Don't turn every plan into HTML by reflex - build when asked.
“Common” is measured: kept by at least 6 in 10 of the 43 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/visualize - build a visual artifact (HTML or PDF)
Produce ONE self-contained file the user can open by double-clicking - no server, no internet, no build step. HTML by default; PDF when the deliverable has to be a PDF. This is an on-demand skill: run it when asked, don't auto-convert things the user didn't ask to see visually.
First action - load context
Read the visualization book's table of contents, then pull only the chapters this request needs:
- Book:
books/dataviz/_toc.mdin the knowledge base (the canonical, writable copy). If it isn't there, fall back tobook/dataviz/_toc.mdbeside this skill (the copy shipped with the installer). - Always load
ch02-self-contained-html.md- the core craft; every artifact is one self-contained file. - Load
ch03-charts-and-data.mdif the request involves numbers, metrics, or charts. - Load
ch04-pdf-output.mdif the output must be a PDF. - Skim
ch01-when-and-format.mdif it's unclear whether to build at all, or which format fits. - Check
ch05-gotchas.mdbefore shipping.
Read the book and apply it - don't reproduce it here.
Flow
- Decide what, and whether. Per ch01: is a visual actually the right call, or is markdown fine? If yes, pick the artifact type - plan/spec, report, data dashboard, or explainer - and the format (HTML unless the user asked for PDF).
- Build one self-contained file per ch02: inline all CSS and JS, embed images/fonts as
data:URIs, no external requests, responsive, readable in both light and dark, print-friendly. For data, apply ch03 (right chart, accessible color, labels/legend, tables that scroll). - Save it somewhere sensible and open it. Default: a
visualizations/folder in the current project (create it), or the path the user names. Use a clear filename ({topic}-{kind}.html). Then open it so the user sees it right away. - PDF, if asked: build the HTML first (steps 2-3), then produce the PDF per ch04. Default is print-to-PDF from the browser (zero dependency); use an automated tool only if one is already installed, and say which.
- Iterate: if the user marks up or asks for changes, keep editing the same file.
After the task
- Append a one-line entry to
_analytics/usage.log(per the analytics rule). - If you hit a rendering gotcha worth remembering (a layout that broke, a print-CSS quirk, a data-URI size limit), append it to
books/dataviz/ch05-gotchas.md. That write-back is how the book compounds instead of rotting.
Constraints
- One file, fully offline. No CDN links, no external fonts, no fetch/XHR. If it needs the internet to render, it's wrong.
- On demand only. Don't turn every plan into HTML by reflex - build when asked.
- It's a local file, not a hosted link. The user opens it from disk; where it goes after is their call.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

