human-draw

Solid

Renders information as a picture a person reads at a glance. Seven shapes — bar, spine, tree, lane, fork, matrix, small-multiple — drawn in printable ASCII on a monospace grid. Works on any subject: a budget, a harvest, a rota, a roof, a decision. Trigger phrases: "/human-draw", "draw this", "show me this visually", "make a diagram of this", "I can't hold all this in my head". Not /human-output (governs the prose around the figure, and runs alongside this skill rather than before it). Not /human-rewrite (repairs existing text, and hands material here when it turns out relational). This skill builds the text figure that survives copy-paste into any terminal.

AI & Automation 14 stars 1 forks Updated yesterday Apache-2.0

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Quality Score: 86/100

Stars 20%
39
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# /human-draw A figure is a **material**. It is characters on a monospace grid, read by a person scanning rather than parsing. Everything here is about what that material can actually hold. Two facts set every rule below. 1. **The grid is about 80 columns wide and one character deep.** Cross it and the terminal wraps the line, shearing the figure into unreadable halves. 2. **The reader stops wherever they stop** — the family's stopping-point doctrine, `references/human-contract.md` §2. So a figure must be correct at a glance and still correct on a second look. ## Placement: the rule that matters most Three parts, always in this order. ``` verdict sentence -> figure -> caption stating the finding ``` **A reader who never looks at the picture must still be correct.** That is the whole test, and it is the stopping-point doctrine applied to a figure. A figure is evidence for a claim someone else already made in words; it is never the claim itself. The verdict above and the caption below are prose. Use `human-output` when it is installed; otherwise use the portable style floor in [`references/human-contract.md`](references/human-contract.md), including what a caption must name (the finding, not the subject). This file owns only what is inside the fence. ## The default is to draw Draw when the reader must hold **two or more things in mind and relate them**. One fact is a sentence. A causal argument is prose. Position, proportion, sequence, containment, and ...

Details

Author
allemaar
Repository
allemaar/open-skills
Created
2 months ago
Last Updated
yesterday
Language
JavaScript
License
Apache-2.0

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

human-output

The contract for writing anything a person will read and decide from — a report, a finding, an answer, a request for a decision. Works on any subject: research, legal, finance, operations, planning, code. Referenced by other skills and invocable directly before a long piece of work. Trigger phrases: "/human-output", "remember I am a person not a machine", "write this for a human", "keep the reader in mind". Not /human-rewrite (repairs text that already exists) or /human-draw (builds a picture) — human-output governs writing as it happens.

14 Updated yesterday
allemaar
Data & Documents Listed

cvpr-figure

Create, revise and audit publication-grade pipeline, framework, teaser and module figures for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI and ACL papers, and export them as Visio-editable .vsdx, PowerPoint-editable .pptx, plus SVG/PDF/PNG/EMF for LaTeX. Use for architecture diagrams, method overview figures, framework figures, pipeline diagrams, teaser/paradigm-comparison figures, attention and token diagrams, module zoom-ins, and 顶会论文配图、框架图、流程图、pipeline图、方法图、teaser图、 网络结构图、模型架构图、科研绘图、论文示意图、Visio可编辑图. Drives a declarative spec through a deterministic layout engine whose palette, typography and geometry were measured out of 349 figure PDFs from published CVPR/ICCV/ECCV/AAAI papers, then audits the result against a checklist of the things that make a diagram look machine-generated. Works from a paper section, an abstract, a method description, a PyTorch nn.Module source tree, or an mmengine/mmdet `model = dict(...)` config — 根据代码出图、根据论文内容出图. Do not use for data plots — bar charts, curves, heatmaps, scatter and

1 Updated 1 weeks ago
ChizkiyahuOhayon
AI & Automation Solid

draw-the-system-not-your-study

Use at study design when allocating figure slots, and again at analysis and writing, on tasks where the source's own rendered figures are not available to copy. Covers the four slots reserved for the system before any hypothesis claims one, drawing the loaded arrays instead of their counts, why a panel that reports a shortfall is not the panel carrying the result, and why a deliverable marked covered_by an artifact path is not covered.

805 Updated 2 weeks ago
tangxiangru